Senior Scientist jobs at FM Global

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Responsibilities Join a world-class research team dedicated to reducing the impact of natural hazards and climate risks. FM is a market leader in commercial and industrial property insurance and loss prevention, serving over one-third of FORTUNE 1000 companies with engineering-based risk management and property insurance solutions. FM helps clients maintain business continuity through state-of-the-art engineering and research. The Structures and Geohazards Research Group at FM is seeking a creative and self-motivated Senior Research Scientist with a strong foundation in wind engineering and a specialized focus on computational wind engineering (CWE). The ideal candidate will possess deep expertise in fluid dynamics, high-performance computing, and wind tunnel testing, along with a demonstrated ability to conduct innovative, high-impact research. This role is integral to a strategic research initiative aimed at advancing the understanding of wind-related hazards and developing effective mitigation strategies. The successful candidate will contribute to cutting-edge projects that blend computational modeling with experimental validation to address real-world challenges in wind engineering. Responsibilities: Develop computational fluid dynamics (CFD) models to simulate wind flow around buildings and infrastructure, capturing complex aerodynamic interactions. Analyze wind loading on structures using high-resolution simulations; validate results with wind tunnel experiments or field measurements. Collaborate with interdisciplinary teams to incorporate wind effects into risk models, design standards, and resilience strategies. Publish and present research in peer-reviewed journals and at scientific or industry conferences. Contribute to strategic planning and innovation in wind engineering research initiatives. Qualifications PhD degree. Mechanical, Civil, Aerospace Engineering or related fields. Hands-on experience with CFD software, both open-source (e.g., OpenFOAM) and commercial (e.g., ANSYS Fluent). Proficient in programming languages such as C++, Python, R, MATLAB. Skilled in high-performance computing (HPC) and parallel computing environments. Experience with wind tunnel testing or field measurements is highly desirable. Familiarity with relevant building codes and standards is a plus. Proven track record of publishing high-quality research and effectively communicating complex technical concepts to diverse audiences.Strong problem-solving abilities, creativity, and the capacity to work independently as well as collaboratively. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

About Us: Judi Health is a health technology company offering a wide range of benefits administration solutions for employers and health plans. This includes Capital Rx, a public benefit corporation that provides full-service pharmacy benefit management (PBM) solutions to self-insured employers; Judi Health™, which offers comprehensive health benefit management solutions for employers, TPAs, and health plans; and Judi , the industry's leading proprietary Enterprise Health Platform. To learn more, visit **************** Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Senior Applied AI/ML Scientist. We are seeking Artificial Intelligence (AI) Applied Scientists to join our team and contribute to the development of Large Language Models (LLMs) aimed at advancing state-of-the-art for AI-based automation for Healthcare. As an Applied Scientist, you will play a crucial role in developing, improving, and exploring the capabilities of multimodal LLMs to solve complex real-world problems geared towards building Conversational AI products enabling increased productivity and magical experiences for our customers. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable customized solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: Investigate the latest LLM MLM models and evaluate and compare accuracy and efficiency for our in-domain use cases Develop tools and processes to create data pipelines for ML training and customization Finetune LLMs for the healthcare domain Help develop and productionize machine learning (ML) solutions leveraging our customized models in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. Participate in code reviews, testing, and quality assurance processes. Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. Document and communicate research and development processes, and architectural decisions. Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. All employees are responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. Minimum 4 years of experience in industry with a strong focus on applied AI/ML research and development Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. Solid understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc. Strong proficiency in Python and familiarity with ML libraries such as PyTorch. Experience with training (pre-training / fine-tuning / RLHF / post-training) autoregressive language models like LLaMA, GPT-x, Mistral etc. Experience with open-source LLM platforms and training stack (e.g., HuggingFace, Deepspeed etc.). Experience with ML platforms such as AWS Sagemaker, Azure ML, Databricks etc. Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. Passion for customer, innovation, product quality The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. Good written communication skills that enable collaboration in a remote environment. Experience in healthcare or life sciences is a plus. Salary Range$150,000-$190,000 USD This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: * Exploring data, building models, and evaluating solution performance to resolve core business problems * Explaining, refining, and collaborating with stakeholders through the journey of model building * Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies * Advocating application of best practices in modelling, code hygiene and data engineering * Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development * Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: * Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science * Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: * Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) * Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably * Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly * Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: * Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. * Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome * A history of compelling side projects or contributions to the Open-Source community is valued but not required * Solid theoretical grounding in the mathematical core of the major ideas in data science: * Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) * Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus * Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued * Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: * An undergraduate or advanced degree from a top academic program * A genuine passion for technology and solving problems * A pragmatic approach to solutioning and delivery * Excellent communication skills, both verbal and written * A clear commitment to creating impactful solutions that solve our clients' problems * The ability to work fluidly and respectfully with our incredibly talented team * Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. * Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support, and recognition. * Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. * Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. * Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at **************************************************************** And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit ******************** Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

Company:Oliver WymanDescription: Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 “Best Companies to Work For”, and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at **************************************************************** And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit ******************** Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Company:Oliver WymanDescription: Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 “Best Companies to Work For”, and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at **************************************************************** And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit ******************** Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

At Mercury, members of our Product Management Team are responsible for driving profitable growth in their assigned states and line of business (Personal Lines Auto, Property or Commercial insurance). The primary job function is to contribute to the product strategy and roadmap, and lead and contribute to the design, rating and development of new and enhanced products for targeted lines of business. Geo-Salary Information An in-person interview may be required during the hiring process State specific pay scales for this role are as follows: $118,465 to $224,994 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA) $107,695 to $204,540 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) $96,926 to $184, 086 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location. Responsibilities Essential Job Functions: Contributes to the overall product evolution strategy and roadmap; Leads and contributes to the design, rating and development of new and enhanced products for targeted lines of business; Reviews and understands results of analyses and make recommendations on changes in pricing and product models. Lead and contributes to the data process and modeling methodology evolution; Remains up to date with the development of P&C products and relevant data and modeling methodology in the field. Identifies business opportunities through data analysis and market research; Researches and evaluates new data sources for risk segmentation improvement. Partners with PDMs and cross functional teams including MTS, Underwriting, Sales Development, and other divisions to implement product enhancements; Supports company-wide initiatives on data and product delivery process. Provides data, statistical and analytical support to others. Mentors junior analysts and provides training throughout the organization as necessary. Communicates with business stakeholders on project scope and priority; Ensures workflow is properly distributed according to priority of product development projects. Qualifications Education: Minimum: Bachelor's Degree required with emphasis in analytical concentration such as Actuarial Science, Data Science, Economics, Engineering, Finance, Math, Statistics. Preferred: Ph.D.'s or master's degree preferred. Experience: Minimum: At least 3 years' experience in the P&C Insurance industry and/or the product development field. At least 12 years' experience with data and analytics applications in Financial and other similar industries Or equivalent combination of education/experience Knowledge and Skills: Strong analytical and quantitative skills required. Advanced in Python, R or other language and statistical software Track record of demonstrated creativity in pricing and/or product development. Strong critical thinking and problem-solving skills. Ability to review moderately complex issues and develop solutions. Must have initiative and be a self-starter. Must have strong interpersonal skills and be able to build commitment to decisions. Strong written and verbal communication skills required. Requires the ability to effectively present recommendations and solutions to all levels within the organization in a clear manner. Demonstrate highly skilled leadership values About the Company Why choose a career at Mercury? At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can't imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Learn more about us here: ********************************************** Perks and Benefits We offer many great benefits, including: * Competitive compensation * Flexibility to work from anywhere in the United States for most positions * Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) * Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) * Medical, dental, vision, life, and pet insurance * 401 (k) retirement savings plan with company match * Engaging work environment * Promotional opportunities * Education assistance * Professional and personal development opportunities * Company recognition program * Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law. Pay Range USD $118,465.00 - USD $224,994.00 /Yr.

At Mercury, members of our Product Management Team are responsible for driving profitable growth in their assigned states and line of business (Personal Lines Auto, Property or Commercial insurance). The primary job function is to contribute to the product strategy and roadmap, and lead and contribute to the design, rating and development of new and enhanced products for targeted lines of business. Geo-Salary Information An in-person interview may be required during the hiring process State specific pay scales for this role are as follows: $118,465 to $224,994 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA) $107,695 to $204,540 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) $96,926 to $184, 086 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location. Responsibilities Essential Job Functions: Contributes to the overall product evolution strategy and roadmap; Leads and contributes to the design, rating and development of new and enhanced products for targeted lines of business; Reviews and understands results of analyses and make recommendations on changes in pricing and product models. Lead and contributes to the data process and modeling methodology evolution; Remains up to date with the development of P&C products and relevant data and modeling methodology in the field. Identifies business opportunities through data analysis and market research; Researches and evaluates new data sources for risk segmentation improvement. Partners with PDMs and cross functional teams including MTS, Underwriting, Sales Development, and other divisions to implement product enhancements; Supports company-wide initiatives on data and product delivery process. Provides data, statistical and analytical support to others. Mentors junior analysts and provides training throughout the organization as necessary. Communicates with business stakeholders on project scope and priority; Ensures workflow is properly distributed according to priority of product development projects. Qualifications Education: Minimum: Bachelor's Degree required with emphasis in analytical concentration such as Actuarial Science, Data Science, Economics, Engineering, Finance, Math, Statistics. Preferred: Ph.D.'s or master's degree preferred. Experience: Minimum: At least 3 years' experience in the P&C Insurance industry and/or the product development field. At least 12 years' experience with data and analytics applications in Financial and other similar industries Or equivalent combination of education/experience Knowledge and Skills: Strong analytical and quantitative skills required. Advanced in Python, R or other language and statistical software Track record of demonstrated creativity in pricing and/or product development. Strong critical thinking and problem-solving skills. Ability to review moderately complex issues and develop solutions. Must have initiative and be a self-starter. Must have strong interpersonal skills and be able to build commitment to decisions. Strong written and verbal communication skills required. Requires the ability to effectively present recommendations and solutions to all levels within the organization in a clear manner. Demonstrate highly skilled leadership values About the Company Why choose a career at Mercury? At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can't imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Learn more about us here: ********************************************** Perks and Benefits We offer many great benefits, including: Competitive compensation Flexibility to work from anywhere in the United States for most positions Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) Medical, dental, vision, life, and pet insurance 401 (k) retirement savings plan with company match Engaging work environment Promotional opportunities Education assistance Professional and personal development opportunities Company recognition program Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law. Pay Range USD $118,465.00 - USD $224,994.00 /Yr.

As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life's digital transformation by developing and deploying AI and machine learning solutions that enhance efficiency and improve client, agent, and employee experiences. This role focuses on Service operations (contact centers, claims, field service), where you'll apply both Generative AI and traditional ML techniques to automate tasks, generate insights, and support decision-making. You'll work closely with senior data scientists, engineers, product and technology partners to deliver impactful production-ready solutions that are safe, reliable, and aligned with business priorities. What You'll Do: Execute AI/ML initiatives for Service operations in partnership with data, technology, product and business teams. Contribute to the end-to-end model lifecycle: data exploration, feature development, model training/validation, deployment, monitoring, and iteration. Develop and help operationalize models using AWS (e.g., SageMaker, Bedrock) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability; partner with ML engineers for large-scale production deployment and scaling. Assist in designing and evaluating agentic/AI-powered solutions that automate routine service tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails. Implement and refine LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability. Ensure AI capabilities are accessible through APIs, dashboards, and integrated workflow applications used by service teams. Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption. Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps. What You'll Bring: Advanced degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. 5+ years of experience applying data science and AI/ML to real-world business problems. Ability to communicate complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners. Proficiency in Python and SQL; working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging). Experience with AWS services (e.g., SageMaker, Bedrock) and modern data ecosystems (Snowflake/Databricks). Working knowledge of LLMs, RAG architecture, and agent frameworks, including safe automation design and evaluation practices. Solid grounding in ML methods (supervised and unsupervised learning, gradient boosting exposure to deep learning), feature engineering, regularization, cross-validation. Ability to translate analytical findings into clear business insights and collaborate effectively with cross-functional partners. Experience in customer service or consumer finance domains is a plus. This role involves limited travel ( Pay Transparency Salary Range: $121,000-$172,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Company Overview At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress. As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it. Our Benefits We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site. Our Commitment to Inclusion At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of ******************** Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities. Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs. Job Requisition ID: 92708

As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life's digital transformation by developing and deploying AI and machine learning solutions that enhance efficiency and improve client, agent, and employee experiences. This role focuses on Service operations (contact centers, claims, field service), where you'll apply both Generative AI and traditional ML techniques to automate tasks, generate insights, and support decision-making. You'll work closely with senior data scientists, engineers, product and technology partners to deliver impactful production-ready solutions that are safe, reliable, and aligned with business priorities. What You'll Do: * Execute AI/ML initiatives for Service operations in partnership with data, technology, product and business teams. * Contribute to the end-to-end model lifecycle: data exploration, feature development, model training/validation, deployment, monitoring, and iteration. * Develop and help operationalize models using AWS (e.g., SageMaker, Bedrock) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability; partner with ML engineers for large-scale production deployment and scaling. * Assist in designing and evaluating agentic/AI-powered solutions that automate routine service tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails. * Implement and refine LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability. * Ensure AI capabilities are accessible through APIs, dashboards, and integrated workflow applications used by service teams. * Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption. * Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps. What You'll Bring: * Advanced degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 5+ years of experience applying data science and AI/ML to real-world business problems. * Ability to communicate complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners. * Proficiency in Python and SQL; working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging). * Experience with AWS services (e.g., SageMaker, Bedrock) and modern data ecosystems (Snowflake/Databricks). * Working knowledge of LLMs, RAG architecture, and agent frameworks, including safe automation design and evaluation practices. * Solid grounding in ML methods (supervised and unsupervised learning, gradient boosting exposure to deep learning), feature engineering, regularization, cross-validation. * Ability to translate analytical findings into clear business insights and collaborate effectively with cross-functional partners. * Experience in customer service or consumer finance domains is a plus. This role involves limited travel ( Pay Transparency Salary Range: $121,000-$172,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Company Overview At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress. As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it. Our Benefits We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site. Our Commitment to Inclusion At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of ******************** Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities. Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs. Job Requisition ID: 92708

About Us: Judi Health is a health technology company offering a wide range of benefits administration solutions for employers and health plans. This includes Capital Rx, a public benefit corporation that provides full-service pharmacy benefit management (PBM) solutions to self-insured employers; Judi Health™, which offers comprehensive health benefit management solutions for employers, TPAs, and health plans; and Judi , the industry's leading proprietary Enterprise Health Platform. To learn more, visit **************** Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Senior Applied AI/ML Scientist. We are seeking Artificial Intelligence (AI) Applied Scientists to join our team and contribute to the development of Large Language Models (LLMs) aimed at advancing state-of-the-art for AI-based automation for Healthcare. As an Applied Scientist, you will play a crucial role in developing, improving, and exploring the capabilities of multimodal LLMs to solve complex real-world problems geared towards building Conversational AI products enabling increased productivity and magical experiences for our customers. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable customized solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: Investigate the latest LLM MLM models and evaluate and compare accuracy and efficiency for our in-domain use cases Develop tools and processes to create data pipelines for ML training and customization Finetune LLMs for the healthcare domain Help develop and productionize machine learning (ML) solutions leveraging our customized models in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. Participate in code reviews, testing, and quality assurance processes. Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. Document and communicate research and development processes, and architectural decisions. Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. All employees are responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. Minimum 4 years of experience in industry with a strong focus on applied AI/ML research and development Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. Solid understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc. Strong proficiency in Python and familiarity with ML libraries such as PyTorch. Experience with training (pre-training / fine-tuning / RLHF / post-training) autoregressive language models like LLaMA, GPT-x, Mistral etc. Experience with open-source LLM platforms and training stack (e.g., HuggingFace, Deepspeed etc.). Experience with ML platforms such as AWS Sagemaker, Azure ML, Databricks etc. Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. Passion for customer, innovation, product quality The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. Good written communication skills that enable collaboration in a remote environment. Experience in healthcare or life sciences is a plus. Salary Range$150,000-$190,000 USD This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Zurich Instruments is a technology leader in advanced test and measurement instruments and in control electronics for quantum computing. Our products are used in many challenging research fields by scientists all over the world and by leading high-tech companies worldwide. We help advance science and build the next generation of quantum computers. As an Application Scientist, you will be part of our marketing and sales team in Boston. With the opportunity to apply your technical expertise to solve new technical challenges, you will be making a significant contribution to the success of our fast-growing company. This is a great chance to transition directly from an academic path into a role within a dynamic company environment that allows you to stay at the cutting edge of technology. Your responsibilities Provide quantum solutions to ensure scientific and commercial success Provide application-specific customer support, including onsite system integration Maintain and establish customer contacts to secure future sales and support market growth Represent Zurich Instruments at trade shows, engage with opinion leaders and work with leading quantum researchers across the US Produce marketing material, including presentations, product documentation, and videos Your profile PhD or Master's in Physics, Electrical Engineering, or Computer Science with a relevant background in Quantum Computing Solid scientific track record with practical lab experience, including RF/microwave signal generation and measurement Programming experience with scientific instrumentation, preferable with Python Sales experience or a keen interest in developing your skills in this area Entrepreneurial spirit and familiarity with basic marketing strategies are an advantage We offer a diverse work environment with an open and transparent company culture where personal development forms the basis of our success. We thrive on cooperation and support distributed decision-making that allows everyone to take responsibility and generate substantial impact from the start and on many levels.We provide a competitive remuneration and benefits package, including paid vacation and sick time in addition to US national holidays, and we support a healthy work-life balance. Now is a great time to join the team. We look forward to receiving your resume and motivation letter. Applicants need to be legally authorized to work in the USA.

Job DescriptionZurich Instruments is a technology leader in advanced test and measurement instruments and in control electronics for quantum computing. Our products are used in many challenging research fields by scientists all over the world and by leading high-tech companies worldwide. We help advance science and build the next generation of quantum computers. As an Application Scientist, you will be part of our marketing and sales team in Boston. With the opportunity to apply your technical expertise to solve new technical challenges, you will be making a significant contribution to the success of our fast-growing company. This is a great chance to transition directly from an academic path into a role within a dynamic company environment that allows you to stay at the cutting edge of technology. Your responsibilities Provide quantum solutions to ensure scientific and commercial success Provide application-specific customer support, including onsite system integration Maintain and establish customer contacts to secure future sales and support market growth Represent Zurich Instruments at trade shows, engage with opinion leaders and work with leading quantum researchers across the US Produce marketing material, including presentations, product documentation, and videos Your profile PhD or Master's in Physics, Electrical Engineering, or Computer Science with a relevant background in Quantum Computing Solid scientific track record with practical lab experience, including RF/microwave signal generation and measurement Programming experience with scientific instrumentation, preferable with Python Sales experience or a keen interest in developing your skills in this area Entrepreneurial spirit and familiarity with basic marketing strategies are an advantage We offer a diverse work environment with an open and transparent company culture where personal development forms the basis of our success. We thrive on cooperation and support distributed decision-making that allows everyone to take responsibility and generate substantial impact from the start and on many levels.We provide a competitive remuneration and benefits package, including paid vacation and sick time in addition to US national holidays, and we support a healthy work-life balance. Now is a great time to join the team. We look forward to receiving your resume and motivation letter. Applicants need to be legally authorized to work in the USA. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

1. Routinely produces analysis on structured and unstructured problems that meets CNA's quality standards with limited direction and general supervision. Demonstrates ability to develop and apply creative and innovative analytic solutions to complex problems with assistance/support from more senior staff. Shows the ability to synthesize analytic results into a broader context. Can lead complex analytic projects with supervision. Begins to make connections and synthesize ideas across multiple, related studies. 2. Develops and maintains deep, specific institutional knowledge and expertise of primary clients/sponsors; their culture, organization, and issues. Uses that knowledge to support training & mentoring of new staff, to support on-going work, and to support development and shaping of new work for existing clients/ sponsors. 3. Balances responsiveness to guidance with independent action. Contributes productively and harmoniously to the work of others; treats everyone respectfully, professionally and fairly. Independently identifies opportunities for collaboration within team, division, and operating unit. Supports supervisor's initiatives and helps make vision a reality. Recognizes and acknowledges contributions from subordinates. 4. Supports business development efforts and/or marketing activities by interacting with CNA managers and current clients/sponsors on securing follow on work (e.g., small grants, or above core projects), expanding or developing new ideas for future projects, and occasionally working with potential clients/sponsors on developing new project ideas. Occasionally serves as internal reviewer of technical proposals. 5. Interacts regularly and independently with clients/sponsors and related parties. Typical interactions are at the "peer equivalent" level, but some level of interaction at senior level. Can effectively represent CNA as an organization. 6. Influences decisions by sponsors/ clients; provide sponsors/clients with implementable recommendations. Occasionally supports efforts to enhance CNA's reputation via publishing and outreach activities. 7. Demonstrates strong and effective communications skills, to include ability to summarize and synthesize larger pieces of work into effective executive summaries/executive briefings. Can effectively present work to more senior and larger audiences. Effectively communicates with & engages colleagues at all levels of the organization. 8. Works under limited direction and general supervision from division management. Can lead projects of low to medium size and/or complexity, as well as significant tasks on large or more complex projects. Effectively manages all aspects of assigned projects, to include delivery of high-quality analytic products on-time, and on-budget. 9. Plays a supporting role in the mentoring and training of new staff individually or as a member of a project team. Regularly demonstrates initiative in pursuing improvements in the quality of our projects and analytic products. Participates in corporate initiatives when asked to do so, and makes contributions to initiatives focused on making CNA a better place to work. 10. Performs other duties as assigned. JOB REQUIREMENTS 1. Education: Minimum Master's degree in a relevant field or equivalent experience, PhD preferred. Background in STEM preferred. 2. Experience: Typical minimum requirements 5+ years of experience in research and analysis, preferably in the national defense arena (within the Department of the Navy or in the context of an FFRDC or a University Affiliated Research Center is a plus). 3. Skills: Experience using programming tools for analyzing large datasets, perform numerical computations, and create visualizations is preferred. Relevant tools include Python, R, and MATLAB. Ability to work on progressively more difficult projects/analyses, including directing portions of large research projects or small to medium projects under general supervision Ability to operate independently and proactively in the execution of assignments; Ability to work in a multi-disciplinary environment Strong critical thinking skills Knowledge of research techniques Strong planning and organizational skills Excellent interpersonal skills Strong and effective oral and written communication skills Ability to interact directly and effectively with clients and influence their decisions. 4. Working environment: The ATA Division conducts mostly classified work that must be done at CNA's facility in Arlington, VA. However, in those situations where analysts are working on unclassified parts of a classified study or on a study that is not classified, we offer a hybrid working environment that allows analysts to work off-site (typically from home). Some amount of travel is expected to meet with clients and sponsors outside of the greater Washington, DC area. 5. Other: Ability to obtain and maintain an Active Secret Security Clearance; TS/SCI Clearance eligibility is preferrable. Required Documents Resume or CV - Please upload your resume or CV Cover letter - Please upload a cover letter as part of your application that introduces yourself, summarizes your relevant skills and experiences, and describes why you would be a valuable asset to CNA's ATA Division. Writing Sample - Please upload a research paper or journal article that demonstrates your writing and research skills (draft copies are acceptable). Optional documents Transcripts (highly desired) - In a later stage of the hiring process, we may require your undergraduate and graduate transcripts. To have them considered as part of your application now, please upload them with your resume or CV. Letters of recommendations (highly desired) - In a later stage of the hiring process, we may require letters of recommendation or professional references for us to contact.

The Chubb Science Center (CSC) is a multi-disciplinary group within the Enterprise Risk Management function tasked with bringing state-of-the-art science to catastrophe underwriting and aggregation management. The CSC focuses on developing Chubb's view of risk for both modeled and non-modeled catastrophe perils globally, including integrating climate change research. Roles within the CSC provide an excellent opportunity to apply a scientific understanding of natural hazards to catastrophe solutions and their use in underwriting, pricing, and aggregation management. Chubb is seeking a Catastrophe Research Scientist to join the CSC. The interested individual will join a dynamic team composed of people with diverse backgrounds. This position will be responsible for supporting catastrophe research and risk management initiatives. We are seeking an analytical individual with strong research experience in natural catastrophe and climate risk assessment. As part of the CSC, you will play an integral role in delivering risk management solutions to various internal stakeholders. Responsibilities include: Perform in-depth validation of various climate peril models from RMS Perform weather peril research in the context of current and future climate states. Provide support for climate related external disclosures Help create the Chubb view-of-risk by conducting independent research and integrating findings into the catastrophe modeling framework Support corporate catastrophe event response activities by providing near real-time actionable insights to the business Investigate, evaluate, and advise on model changes and new risk assessment tools Conduct research on a wide range of natural hazard topics to develop risk management strategies Communicate and present model validation and change management results to business units and other stakeholders We are seeking an analytical and technically-minded individual. Ideal candidates for the role will have the following educational background and technical skills: Ph.D./Masters degree in meteorology, engineering, statistics, and natural or climate science Advanced knowledge of probability and statistics 0-3 years of experience in the validation or development of natural catastrophe risk assessment tools Strong computer skills including advanced knowledge of R or Python, Excel and SQL is required Familiarity with geospatial tools such as ArcGIS and QGIS Excellent analytical, communication and organization skills

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Job Title: Senior Staff Research Scientist We are seeking a Senior Staff Research Scientist with profound expertise to drive the direction, vision, and architectural standards for enterprise-scale AI/ML initiatives. As a self-directed technical leader within GEICO's AI Research team, you will architect and deliver innovative AI/ML solutions that span multiple business domains, define the future of insurance operations, and accelerate transformation across the company. You will set technical strategy, mentor scientists and engineers at all levels, and partner closely with senior leadership to align AI investments with measurable business outcomes. Key Responsibilities: Drive the Direction and Vision of AI/ML Initiatives: Define and own the technical strategy and long-term roadmap for cross-functional AI/ML programs, ensuring alignment with organizational goals and scalable, robust, and compliant delivery. Identify High-Impact Opportunities: Surface and shape high-value AI use cases through deep engagement with product, engineering, data, and business leaders; translate ambiguous needs into actionable ML problem statements and investment cases. Architecture and Technical Leadership: Architect end-to-end AI/ML systems spanning data acquisition, feature engineering, model development, evaluation, deployment, and monitoring across online and batch environments. Establish standards for scalability, reliability, observability, security, compliance, and cost efficiency. Development and Productionization: Lead the full lifecycle of model development from concept to production, including rapid prototyping, A/B testing, causal inference, and continuous improvement with clear delivery plans and milestones. ROI Measurement and Experimentation: Establish rigorous KPI frameworks, experimentation strategies, and causal analysis to quantify business impact, prioritize investments, and guide decision-making for portfolio-level initiatives. Innovation and Research Integration: Stay current with cutting-edge ML/AI research. Prototype and translate novel techniques into hardened, scalable solutions within GEICO's insurance ecosystem. Cross-Functional Collaboration: Drive collaboration across Product, Engineering, Data Platform, Governance, Legal, Security, and Operations to ensure responsible, reliable, and effective AI adoption. Mentorship and Capability Building: Mentor research scientists and engineers, elevate technical standards, and cultivate a culture of scientific rigor, engineering excellence, and continuous learning. Presentations and Executive Engagement: Communicate complex technical concepts clearly to diverse audiences. Present to senior leadership, setting context, explaining trade-offs, and building alignment and enthusiasm for AI/ML initiatives. Evangelism and Thought Leadership: Champion the transformative role of AI/ML across GEICO by speaking at internal forums, contributing to leadership discussions, and setting high standards that influence practices beyond your immediate team. Strategic and Cultural Leadership: Contribute to the overarching strategy, roadmap, and operating model for AI/ML at GEICO. Foster a culture of craftsmanship, innovation, accountability, and excellence. Qualifications: PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience with an exceptional track record of innovation and impact. Minimum of 8 years of professional experience delivering applied AI/ML solutions in production, with a proven record of leading end-to-end model development and cross-functional initiatives with enterprise impact. Deep theoretical and practical expertise in statistical learning, machine learning, deep learning, and large language models; ability to reason from first principles and select appropriate methods under real-world constraints. Demonstrated experience establishing KPI frameworks, experimentation strategies, and causal analysis to quantify model impact and inform prioritization. Proven ability to mentor and lead senior research scientists and engineers; establish and enforce high standards for code quality, testing, documentation, and reproducibility. Exceptional communication and stakeholder management skills; ability to influence senior executives and drive alignment across product, engineering, and business functions. Extensive experience with Python and SQL; deep hands-on expertise with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Ability to solve complex technical challenges and craft long-term strategic visions that scale across teams and business areas. Preferred Skills: Advanced modeling experience in numerical optimization, NLP, LLMs, and reinforcement learning; familiarity with evaluation strategies, guardrails, prompt design, retrieval-augmented generation (RAG), red-teaming, and human-in-the-loop workflows. Research experience in computer science, statistics, machine learning, operations research, or related fields; record of patents, publications, or impactful open-source contributions. Strong background in experimentation platforms, causal inference, and counterfactual modeling. Experience with responsible AI, model governance, and risk management in regulated environments; familiarity with insurance operations is a plus. Work Locations: Candidates must be open to the following locations: Chevy Chase, Maryland Palo Alto, CA New York City, NY Dallas, TX Seattle, WA Chicago, IL Austin, TX This is a unique opportunity to shape the architectural direction of AI at GEICO, define and deliver transformative AI/ML solutions at enterprise scale, and mentor the next generation of research scientists. If you are passionate about driving innovation, measurable business impact, and a culture of excellence, we encourage you to apply. Annual Salary $150,000.00 - $300,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Responsibilities The purpose of this position is to develop new scientific knowledge, technologies and engineering solutions to problems in material flammability, fire dynamics and Lithium-ion battery safety research, which can be used for the prevention or control of industrial property loss. The principal responsibilities are to carry out research projects in the areas of flammability, fire spread, and heat transfer in fires from solid combustible as well as Lithium-ion batteries. Key areas of research include understanding of fire behavior at the medium and large scales via bench-scale experiments and theoretical models on material flammability and flame heat transfer. Projects can also involve advanced flame diagnostic of buoyant turbulent sooty flames and wall fires. The experimental and theoretical studies will be closely integrated with Computational Fluid Dynamic (CFD) model development and validation within the work group. The position is responsible for all aspects of project management including project proposals, execution, and reporting. Qualifications The position requires a PhD in Mechanical, Chemical Engineering, Fire Protection Engineering, or related fields with a strong fundamental background in combustion, fluid mechanics, heat transfer, material science and applied mathematics. Extensive experience in experimental methods in thermal fluids, material flammability, heat transfer, combustion/fire, and an understanding of associated numerical methods are required. Research experience with advanced laser diagnostics in flame, experimental measurement in turbulent flame, heat transfer and failure analysis of battery is desirable. Also needed are excellent written and verbal communication skills, as well as demonstrated expertise in developing solutions to challenging technical problems. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #FMG #LI-TA1

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.** **About Optum and Optum AI** Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI is building foundation models and agentic systems that can understand complex healthcare data, reason about clinical workflows, and safely assist clinicians and patients at scale. We're looking for a lead research scientist who wants to push the frontier of: + Pretraining and post‑training of LLMs/SLMs (including RL, RLHF, RLAIF), and + Agentic systems that plan, use tools, and operate in real healthcare workflows. This role is ideal for a researcher who enjoys turning open‑ended ideas into state‑of‑the‑art models, publishing in top venues, and seeing their work deployed to improve health outcomes for millions of people. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. **Primary Responsibilities:** + Lead research on pretraining and post‑training of language models + Design and train domain‑specialized LLMs and smaller language models (SLMs) for healthcare applications + Explore novel pretraining objectives, architectures, and data curation strategies + Develop post‑training pipelines (RL, RLHF, RLAIF) to align models with clinical best practices, safety guidelines, and user preferences + Develop RL/RLHF/RLAIF methods at production scale + Design reward models and feedback collection strategies with clinicians and domain experts + Implement and evaluate RL‑based fine‑tuning of foundation models using human and AI feedback + Work with platform teams to run large‑scale, distributed experiments on modern GPU/cloud infrastructure + Build and study agentic systems for healthcare + Design agent architectures that can plan, call tools/APIs, interact with retrieval systems (eg, RAG), and handle multi‑step clinical workflows + Investigate memory, planning, and tool‑use strategies to make agents reliable, controllable, and debuggable + Define and evaluate benchmarks for agent performance, robustness, and safety in healthcare contexts + Drive research to production and publish your work + Own the end‑to‑end lifecycle of research projects: problem formulation, literature review, experimentation, evaluation, and iteration + Collaborate with product teams to translate research into deployed systems that support clinicians, care managers, and patients + Publish findings in top‑tier AI and ML venues (eg, NeurIPS, ICML, ICLR, ACL, EMNLP, KDD, MLHC, CHIL) and present internally to Optum AI and business leaders + Ensure safety, fairness, and responsible AI + Closely collaborate with the Responsible Use of AI (RUAI) team to embed safety, fairness, and compliance into model and agent design + Develop evaluation protocols, diagnostics, and documentation to support model governance and regulatory requirements + Contribute to high‑quality engineering and collaboration + Build robust training and evaluation pipelines using Python, PyTorch/TensorFlow, and modern ML tooling + Follow best practices for software development (tests, packaging, GitHub, code review) + Communicate clearly with cross‑functional teams and stakeholders through written documents, technical talks, and presentations You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. **Required Qualifications:** + PhD in Computer Science, Machine Learning, Statistics, Electrical Engineering, or a related quantitative field + 7+ years of hands‑on experience (including PhD research and post-doctoral research) building and evaluating NLP models using deep learning frameworks (preferably PyTorch) and libraries such as Hugging Face Transformers + 2+ years of experience with modern NLP / GenAI approaches, such as: + LLMs and SLMs (fine‑tuning, evaluation, prompt engineering, safety) + Text embeddings, classification, and retrieval-augmented generation (RAG) + Distributed or large‑scale training of generative models + Demonstrated experience leading research projects (eg, as a primary author on publications, leading subprojects in your research group, or driving technical direction on an industry or internship project) + Solid research background in machine learning, with emphasis in at least one of: + Reinforcement learning / RLHF / RLAIF + Natural language processing / large language models + Agentic systems, planning, or tool‑using agents **Preferred Qualifications:** + Experience building RLHF or RLAIF pipelines end‑to‑end (e.g., reward modeling, feedback collection, policy optimization) + Experience with agent frameworks (e.g., tool‑use, planning, workflow orchestration) or multi‑agent systems + Experience working with large‑scale, real‑world data (healthcare, finance, recommendation systems, etc.) + Experience mentoring junior researchers or engineers + Familiarity with safe and responsible AI practices, especially in high‑stakes domains + Proven solid publication record in top‑tier AI/ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, KDD, AAAI), ideally including work related to LLMs, RL, or agentic systems Healthcare‑related publications *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $110,200 to $188,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. **Application Deadline:** This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. _At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._ _UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations._ _UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment._

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. About Optum and Optum AI Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI is building foundation models and agentic systems that can understand complex healthcare data, reason about clinical workflows, and safely assist clinicians and patients at scale. We're looking for a lead research scientist who wants to push the frontier of: * Pretraining and post‑training of LLMs/SLMs (including RL, RLHF, RLAIF), and * Agentic systems that plan, use tools, and operate in real healthcare workflows. This role is ideal for a researcher who enjoys turning open‑ended ideas into state‑of‑the‑art models, publishing in top venues, and seeing their work deployed to improve health outcomes for millions of people. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: * Lead research on pretraining and post‑training of language models * Design and train domain‑specialized LLMs and smaller language models (SLMs) for healthcare applications * Explore novel pretraining objectives, architectures, and data curation strategies * Develop post‑training pipelines (RL, RLHF, RLAIF) to align models with clinical best practices, safety guidelines, and user preferences * Develop RL/RLHF/RLAIF methods at production scale * Design reward models and feedback collection strategies with clinicians and domain experts * Implement and evaluate RL‑based fine‑tuning of foundation models using human and AI feedback * Work with platform teams to run large‑scale, distributed experiments on modern GPU/cloud infrastructure * Build and study agentic systems for healthcare * Design agent architectures that can plan, call tools/APIs, interact with retrieval systems (eg, RAG), and handle multi‑step clinical workflows * Investigate memory, planning, and tool‑use strategies to make agents reliable, controllable, and debuggable * Define and evaluate benchmarks for agent performance, robustness, and safety in healthcare contexts * Drive research to production and publish your work * Own the end‑to‑end lifecycle of research projects: problem formulation, literature review, experimentation, evaluation, and iteration * Collaborate with product teams to translate research into deployed systems that support clinicians, care managers, and patients * Publish findings in top‑tier AI and ML venues (eg, NeurIPS, ICML, ICLR, ACL, EMNLP, KDD, MLHC, CHIL) and present internally to Optum AI and business leaders * Ensure safety, fairness, and responsible AI * Closely collaborate with the Responsible Use of AI (RUAI) team to embed safety, fairness, and compliance into model and agent design * Develop evaluation protocols, diagnostics, and documentation to support model governance and regulatory requirements * Contribute to high‑quality engineering and collaboration * Build robust training and evaluation pipelines using Python, PyTorch/TensorFlow, and modern ML tooling * Follow best practices for software development (tests, packaging, GitHub, code review) * Communicate clearly with cross‑functional teams and stakeholders through written documents, technical talks, and presentations You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: * PhD in Computer Science, Machine Learning, Statistics, Electrical Engineering, or a related quantitative field * 7+ years of hands‑on experience (including PhD research and post-doctoral research) building and evaluating NLP models using deep learning frameworks (preferably PyTorch) and libraries such as Hugging Face Transformers * 2+ years of experience with modern NLP / GenAI approaches, such as: * LLMs and SLMs (fine‑tuning, evaluation, prompt engineering, safety) * Text embeddings, classification, and retrieval-augmented generation (RAG) * Distributed or large‑scale training of generative models * Demonstrated experience leading research projects (eg, as a primary author on publications, leading subprojects in your research group, or driving technical direction on an industry or internship project) * Solid research background in machine learning, with emphasis in at least one of: * Reinforcement learning / RLHF / RLAIF * Natural language processing / large language models * Agentic systems, planning, or tool‑using agents Preferred Qualifications: * Experience building RLHF or RLAIF pipelines end‑to‑end (e.g., reward modeling, feedback collection, policy optimization) * Experience with agent frameworks (e.g., tool‑use, planning, workflow orchestration) or multi‑agent systems * Experience working with large‑scale, real‑world data (healthcare, finance, recommendation systems, etc.) * Experience mentoring junior researchers or engineers * Familiarity with safe and responsible AI practices, especially in high‑stakes domains * Proven solid publication record in top‑tier AI/ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, KDD, AAAI), ideally including work related to LLMs, RL, or agentic systems Healthcare‑related publications * All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $110,200 to $188,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Job Title: Senior Staff Research Scientist We are seeking a Senior Staff Research Scientist with profound expertise to drive the direction, vision, and architectural standards for enterprise-scale AI/ML initiatives. As a self-directed technical leader within GEICO's AI Research team, you will architect and deliver innovative AI/ML solutions that span multiple business domains, define the future of insurance operations, and accelerate transformation across the company. You will set technical strategy, mentor scientists and engineers at all levels, and partner closely with senior leadership to align AI investments with measurable business outcomes. Key Responsibilities: * Drive the Direction and Vision of AI/ML Initiatives: Define and own the technical strategy and long-term roadmap for cross-functional AI/ML programs, ensuring alignment with organizational goals and scalable, robust, and compliant delivery. * Identify High-Impact Opportunities: Surface and shape high-value AI use cases through deep engagement with product, engineering, data, and business leaders; translate ambiguous needs into actionable ML problem statements and investment cases. * Architecture and Technical Leadership: Architect end-to-end AI/ML systems spanning data acquisition, feature engineering, model development, evaluation, deployment, and monitoring across online and batch environments. Establish standards for scalability, reliability, observability, security, compliance, and cost efficiency. * Development and Productionization: Lead the full lifecycle of model development from concept to production, including rapid prototyping, A/B testing, causal inference, and continuous improvement with clear delivery plans and milestones. * ROI Measurement and Experimentation: Establish rigorous KPI frameworks, experimentation strategies, and causal analysis to quantify business impact, prioritize investments, and guide decision-making for portfolio-level initiatives. * Innovation and Research Integration: Stay current with cutting-edge ML/AI research. Prototype and translate novel techniques into hardened, scalable solutions within GEICO's insurance ecosystem. * Cross-Functional Collaboration: Drive collaboration across Product, Engineering, Data Platform, Governance, Legal, Security, and Operations to ensure responsible, reliable, and effective AI adoption. * Mentorship and Capability Building: Mentor research scientists and engineers, elevate technical standards, and cultivate a culture of scientific rigor, engineering excellence, and continuous learning. * Presentations and Executive Engagement: Communicate complex technical concepts clearly to diverse audiences. Present to senior leadership, setting context, explaining trade-offs, and building alignment and enthusiasm for AI/ML initiatives. * Evangelism and Thought Leadership: Champion the transformative role of AI/ML across GEICO by speaking at internal forums, contributing to leadership discussions, and setting high standards that influence practices beyond your immediate team. * Strategic and Cultural Leadership: Contribute to the overarching strategy, roadmap, and operating model for AI/ML at GEICO. Foster a culture of craftsmanship, innovation, accountability, and excellence. Qualifications: * PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience with an exceptional track record of innovation and impact. * Minimum of 8 years of professional experience delivering applied AI/ML solutions in production, with a proven record of leading end-to-end model development and cross-functional initiatives with enterprise impact. * Deep theoretical and practical expertise in statistical learning, machine learning, deep learning, and large language models; ability to reason from first principles and select appropriate methods under real-world constraints. * Demonstrated experience establishing KPI frameworks, experimentation strategies, and causal analysis to quantify model impact and inform prioritization. * Proven ability to mentor and lead senior research scientists and engineers; establish and enforce high standards for code quality, testing, documentation, and reproducibility. * Exceptional communication and stakeholder management skills; ability to influence senior executives and drive alignment across product, engineering, and business functions. * Extensive experience with Python and SQL; deep hands-on expertise with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. * Ability to solve complex technical challenges and craft long-term strategic visions that scale across teams and business areas. Preferred Skills: * Advanced modeling experience in numerical optimization, NLP, LLMs, and reinforcement learning; familiarity with evaluation strategies, guardrails, prompt design, retrieval-augmented generation (RAG), red-teaming, and human-in-the-loop workflows. * Research experience in computer science, statistics, machine learning, operations research, or related fields; record of patents, publications, or impactful open-source contributions. * Strong background in experimentation platforms, causal inference, and counterfactual modeling. * Experience with responsible AI, model governance, and risk management in regulated environments; familiarity with insurance operations is a plus. Work Locations: Candidates must be open to the following locations: * Chevy Chase, Maryland * Palo Alto, CA * New York City, NY * Dallas, TX * Seattle, WA * Chicago, IL * Austin, TX This is a unique opportunity to shape the architectural direction of AI at GEICO, define and deliver transformative AI/ML solutions at enterprise scale, and mentor the next generation of research scientists. If you are passionate about driving innovation, measurable business impact, and a culture of excellence, we encourage you to apply. Annual Salary $150,000.00 - $300,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. * Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. * Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. * Access to additional benefits like mental healthcare as well as fertility and adoption assistance. * Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.