Senior Data Scientist jobs at The Travelers Companies - 313 jobs

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time . Overview Responsible for development and maintenance of analytical solutions through applications of Data Mining, Machine Learning, Predictive Modeling, Generative AI and other emerging technologies for current and future business needs. Lead the supervised and unsupervised model development efforts in partnership with business and Information Technology (IT) stakeholders from diverse functional areas. Proactively monitor outcome post installation and report actionable insights. All job duties and responsibilities must be carried out in compliance with applicable legal and regulatory requirements. Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Responsibilities Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processes. Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends. Perform descriptive and diagnostics analysis to provide actionable insights for a range of business customers via effective visualization. Perform prescriptive analysis seeking for statistical inference providing information that will drive strategic decision making related to marketing, claims and underwriting. Develop predictive models and machine learning solutions to investigate problems, detect patterns and recommend solutions. Work with Information Technology to integrate the model into production environment. Perform model maintenance and post installation monitoring, including performance tracking, model refit/refresh, documentation, and version control. Research and prototype advanced data science techniques like Text Mining, Natural Language Processing (NLP), Image Recognition, Generative AI and Robotic Process Automation (RPA). Research and recommend new data, tools, modeling techniques to enrich analytics solutions in alignment to policy lifecycle. Participate in the broader community to stay current with industry trends including cutting-edge methodology, software, platform and recommend best practices. Qualifications Knowledge and Requirements Professional statistics/quantitative skills. Hands-on experience of solving business problem with various multi variate statistical methods including generalized linear model, survival model, time series, mixed effects model etc. Familiar with the whole life cycle of predictive modeling, including data provision, model development, validation and testing, model deployment. Proficient with manipulating data with enterprise-scale database systems (SQL, SAS). Proficient with at least one scripting language such as R, Python, or Java. Experience with BI tools such as Tableau, Spotfile etc. is preferred. Knowledge of HTML for web app development is preferred. Hands on experience with Big Data / Hadoop / Spark is preferred. Experience with version control workflow such as Git is plus. Education and Experience PhD with 1 year of Predictive Modeling Experience, or Masters with 2-3 years of Predictive Modeling Experience or Bachelors with 4-5 Years of Data Science Experience and education in Statistics, Economics, Computer Science, Mathematics or related field preferred. Property & Casualty Insurance experience highly preferred. Total Rewards Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our benefits page. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $97,000.00 - USD $146,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The Data Governance Engineer plays a pivotal role in ensuring the integrity, quality, and security of organizational data assets. This position will collaborate with various teams across the organization to establish and enforce data governance policies, standards, and procedures. Responsibilities include identifying data quality issues, implementing data governance frameworks, and driving initiatives to improve data management practices. This role requires a strong understanding of data governance principles, excellent analytical skills, and the ability to communicate effectively with stakeholders at all levels. Duties and Responsibilities: Responsibilities include, but are not limited to: Design, implement, and maintain data governance frameworks, policies, and procedures to ensure compliance with regulatory requirements and organizational standards. Monitor and assess data quality issues, establish data quality metrics, and develop strategies to improve data accuracy, completeness, and consistency. Classify data assets based on sensitivity and criticality, establish metadata standards, and implement metadata management processes to enhance data discoverability and usability. Collaborate with cross-functional teams, including IT, legal, compliance, and business units, to define data governance requirements, resolve data-related issues, and promote a culture of data stewardship. Ensure compliance with data privacy regulations (e.g., HIPAA) by implementing data access controls, encryption mechanisms, and data anonymization techniques to protect sensitive information. Evaluate, select, and implement data governance tools and technologies to support data governance initiatives, such as data cataloging, data lineage, and data quality monitoring. Generate and distribute regular reports on data governance activities, including data quality assessments, compliance audits, and remediation efforts, to senior management and stakeholders. Identify opportunities for process improvement, automation, and optimization of data governance workflows to enhance efficiency and effectiveness. Other duties as assigned by Manager Corporate Compliance Responsibility - As an essential function, responsible for complying with Neighborhood's Corporate Compliance Program, Standards of Business Conduct, applicable contracts, laws, rules and regulations, policies, and procedures as it applies to individual job duties, the department, and the Company. This position must exercise due diligence to prevent, detect, and report unlawful and/or unethical conduct by fellow co-workers, professional affiliates and/or agents. Qualifications Qualifications Required: Bachelor's degree in computer science, information technology, data management, or a related study, or equivalent combination of education and relevant work experience Minimum of three (3) years of experience in data governance, data management, or related fields, with a deep understanding of data governance principles, practices, and methodologies Strong analytical skills with the ability to analyze complex data sets, identify trends, and recommend solutions to improve data quality and governance Proficiency in data governance tools and technologies, such as data cataloging tools, metadata management platforms, and data quality tools (e.g., Spirion, MS Purview) Excellent communication skills with the ability to effectively collaborate with stakeholders at all levels, translate technical concepts into business terms, and influence decision-making processes Knowledge of data privacy regulations (e.g., HIPAA) and experience implementing data privacy and security controls Excellent communication skills Strong attention to detail, organizational skills, analytical and problem-solving skills and ability to manage multiple priorities in a fast-paced environment Preferred: Experience working in regulated industries (e.g., healthcare) with a focus on data governance and compliance. Familiarity with data management best practices, data modeling techniques, and data architecture principles. Neighborhood Health Plan of Rhode Island 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 or veteran status.

Symetra has an exciting opportunity to join our team as a Sr. Data Engineer! About the Role Symetra is looking for a Data Engineer to join our Data Management team. In this role, you'll Architect and develop modern cloud-based solutions for the enterprise data warehouse, data marts, and data platforms. Lead in the delivery of significant projects, guiding and mentoring other data engineers to deliver modern cloud ETL/BI solutions. What you will do Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Working knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc. Research, analyze, recommend and select technical approaches for solving exciting and complex development and integration problems. Create and maintain automated methods of orchestrating data flows and products while monitoring data quality and the status of related infrastructure. Implement additional project components (API interfaces) for accessibility. Implement secure cloud data solutions which align to privacy and security controls. Enable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, quality. Why work at Symetra "The atmosphere at Symetra is truly different than at other companies. If you are looking for a company where your voice will matter and be heard, Symetra is the place for you."Sydney S. - Actuarial Associate III "I chose Symetra because I heard it was a pro-employee company-and it's absolutely true. The work environment is supportive, the people are great, and the benefits are generous. Symetra truly cares about its employees. The relaxed atmosphere and opportunities to learn and grow-both within your role and beyond-make it a great place to build your career." - Alicia L., Claims Examiner What we offer you We don't take a "one-size-fits-all" approach when it comes to our employees. Our programs are designed to make your life better both at work and at home. Flexible full-time or hybrid telecommuting arrangements Plan for your future with our 401(k) plan and take advantage of immediate vesting and company matching up to 6% Paid time away including vacation and sick time, flex days and ten paid holidays Give back to your community and double your impact through our company matching Want more details? Check out our Symetra Benefits Overview Compensation Salary Range:$113,700 - $189,400 plus eligibility for annual bonus programs Who you are A passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of it Contribute to the overall data platform architecture and evolution Experience with data concepts (SQL, NoSQL, Normalization) and working with complex data structures Experience with Infrastructure-as-code tools such as Cloud Formation and Terraform Experience in designing and implementing cloud data solutions using a broad range of AWS technologies (e.g. EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams) Proficiency in one or more of the following scripting languages; SQL, Python, Scala, C#, or Go Working knowledge of scripting languages such as bash or powershell Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors Must have a background in data engineering - Data Warehouse, ETL/ELT and BI experience Serve as an expert; envision and integrate emerging data technologies, anticipate new trends to solve complex business and technical problems Working experience with various stream analytics technologies Familiarity with modern engineering practices, including agile development, CI/CD and devops High school diploma required. We empower inclusion At Symetra, we aspire to be the most inclusive insurance company in the country. We're building a place where every employee feels valued, respected, and has opportunities to contribute. Inclusion is about recognizing our assumptions, considering multiple perspective, and removing barriers. We accept and celebrate diverse experiences, identities, and perspectives, because lifting each other up fuels thought and builds a stronger, more innovative company. We invite you to learn more about our efforts here. Creating a world where more people have access to financial freedom Symetra is a national financial services company dedicated to helping people achieve their financial goals and feel confident about the future. In our daily work, we're guided by the principles of Value, Transparency and Sustainability. This means we provide products and services people need at a competitive price, we communicate clearly and openly so people understand what they're buying, and we design products--and operate our company--to stand the test of time. We're committed to showing up for our communities, lifting up our employees, and standing up for diversity, equity and inclusion (DEI). Join our team and help us create a world where more people have access to financial freedom. For more information about our careers visit: careers Work Authorization Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in the United States at hire and must maintain authorization to work in the United States throughout their employment with our company. Please review Symetra's Remote Network Minimum Requirements: As a remote-first organization committed to providing a positive experience for both employees and customers, Symetra has the following standards for employees' internet connection: Minimum Internet Speed:100 Mbps download and 20 Mbps upload, in alignment with the FCC's definition of "broadband." Internet Type: Fiber, Cable (e.g., Comcast, Spectrum), or DSL. Not Permissible: Satellite (e.g., Starlink), cellular broadband (hotspot or otherwise), any other wireless technology, or wired dial-up. When applying to jobs at Symetra you'll be asked to test your internet speed and confirm that your internet connection meets or exceeds Symetra's standard as outlined above. Identity Verification Symetra is committed to fair and secure hiring practices. For all roles, candidates will be required (after the initial phone screen) to be on video for all interviews. Symetra will take affirmative steps at key points in the process to verify that a candidate is not seeking employment fraudulently, e.g. through use of a false identity. Failure to comply with verification procedures may result in: Disqualification from the recruitment process Withdrawal of a job offer Termination of employment and other criminal and/or civil remedies, if fraud is discovered #LI-BW1 #LI-Remote

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data. Work Location: This is a remote position, open to candidates who reside in: San Francisco, CA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors. Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain. Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models. Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems. Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment. Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems. Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units. Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows. Requirements: 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data. Work Location: This is a remote position, open to candidates who reside in: Boston, MA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors. Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain. Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models. Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems. Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment. Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems. Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units. Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows. Requirements: 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data. Work Location: This is a remote position, open to candidates who reside in: Boston, MA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors. Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain. Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models. Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems. Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment. Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems. Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units. Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows. Requirements: 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

About Us We're not like other insurance companies. From our specialty products to our business model, our culture to our results - we're different. Different is who we are, and how we work, interact, deliver and succeed together. Creating a different and better insurance experience doesn't just happen. It takes focus and a shared passion for going beyond the expected to forge relationships and deliver care that makes a difference. This approach rises from and is supported by our talented, ethical and smart team of employee owners united around a single purpose: to work alongside our customers and partners when they need us, in unexpected ways, with exceptional results. Apply today to make a difference with us. RLI is a Glassdoor Best Places to Work company with a strong, successful background. For decades, our financial track record has been stellar - a testament to our culture and validation of our reputation as an excellent underwriting company.Role OverviewWe're hiring a mid-level Data Scientist to play a foundational role in shaping how AI/ML is applied across our Personal Umbrella Policy (PUP) and E&S Property lines of business. This individual will work hands-on to design, build, deploy and maintain curated data and analytical models within Snowflake, collaborating closely with our product, actuarial, analyst and engineering teams. You'll own the full model lifecycle-from experimentation and feature engineering to deployment, monitoring, and retraining-while contributing to the development of a repeatable, scalable data science foundation at RLI. Key Responsibilities Design, create, document and maintain user-friendly and purpose-built data products for use by models and non-technical end users. Develop, train, and deploy models using Snowflake Cortex, Snowpark, and integrated Python execution. Own the end-to-end model lifecycle: experimentation, feature engineering, validation, production deployment, and monitoring. Work closely with our underwriting, claim, actuarial, and analyst teams to translate business needs into data science solutions. Design, create, document and maintain user-friendly and purpose-built data products for use by models and non-technical end users. Partner with data engineering to ensure the availability and readiness of Snowflake-based datasets for modeling and inference. Contribute to the development of model governance, reusability standards, and operational monitoring frameworks. Stay current on Snowflake's evolving capabilities to ensure model development aligns with platform best practices. Assist in building a shared foundation for data science best practices and help inform future tooling and infrastructure investments. Required Qualifications 3-5 years of hands-on experience in applied data science or machine learning roles. Proficiency in Python (e.g., scikit-learn, XGBoost, pandas) and SQL. Experience developing and deploying models in Snowflake using Snowpark, Cortex, or similar cloud-native tools. Strong understanding of supervised learning, feature engineering, and model performance evaluation. Proven ability to work cross-functionally with both technical and non-technical stakeholders. Excellent problem-solving, communication, and documentation skills. In-office requirement of 3 days minimum in our Peoria or Chicago office. Preferred Qualifications Background in insurance, risk modeling, or financial services. Experience working in environments with governed data platforms and production ML workflows. Exposure to MLOps practices, model versioning, and drift monitoring. Why Join RLI? Opportunity to shape the future of data science at a financially strong, innovation-minded company. Work with a modern data stack (Snowflake, Power BI, Azure). Partner closely with experienced leaders and cross-functional teams. Make a direct impact on underwriting precision, claims operations, portfolio risk management, and product innovation. Compensation OverviewThe base salary range for the position is listed below. Please note that the base salary is only one component of our robust total rewards package at RLI. The salary offered will take into account a number of factors including, but not limited to, geographic location, experience, scope & responsibilities of the role, qualifications/credentials, talent availability & specialization, as well as business needs. The below range may be modified in the future. Base Pay Range$107,411.00 - $156,551.00Total RewardsAt RLI, we're all owners. We hire the best and the brightest employees and allow them to share in the company's success through our Total Rewards. With the Employee Stock Ownership plan at its core, the Total Rewards program includes all compensation, benefits and perks that come with being an RLI employee.Financial Incentives Annual bonus plans Employee stock ownership plan (ESOP) 401(k) - automatic 3% company contribution Annual 401k and ESOP profit-sharing contributions (Up to 15% of eligible earnings) Work & Life Paid time off (PTO) and holidays Paid volunteer time off (VTO) to support our communities Parental and family care leave Flexible & hybrid work arrangements Fitness center discounts and free virtual fitness platform Employee assistance program Health & Wellness Comprehensive medical, dental and vision benefits Flexible spending and health savings accounts 2x base salary for group life and AD&D insurance Voluntary life, critical illness, & accident insurance for purchase Short-term and long-term disability benefits Personal & Professional GrowthRLI encourages its employees to pursue professional development work in insurance and job-related areas. We make a commitment to employees to provide educational opportunities that help them enhance their skills and further their career advancement. RLI fosters a true learning culture and encourages professional growth through insurance courses, in-house training and other educational programs. RLI covers the cost for most programs and employees typically earn a bonus upon successful completion of approved courses and certifications. Our personal and professional growth benefits include: Training & certification opportunities Tuition reimbursement Education bonuses Diversity & InclusionOur goal is to attract, develop and retain the best employee talent from diverse backgrounds while promoting an environment where all viewpoints are valued and individuals feel respected, are treated fairly, and have an opportunity to excel in their chosen careers. We actively support, and participate in, initiatives led by the American Property Casualty Insurance Association that aim to increase diversity in the insurance industry. Cultivating an exceptional and diverse workforce to deliver excellent customer service reinforces our culture and is a key to achieving superior business results.RLI is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law.

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data. Work Location: This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors. Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain. Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models. Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems. Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment. Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems. Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units. Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows. Requirements: 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Location: Van Wert, OH; Dublin, OHWork Model: Hybrid Position type: Full time - salary We're a team of employees passionate about delivering best-in-class customer service and driving innovation in IT support. Integrity, relationships, and excellence are at the heart of everything we do. Our employees fully utilize their talents and bring their best selves to work. We believe who you are is just as important as what you do! Are you ready to shape the financial future of Central? As a Senior Data Scientist, you will have a direct impact on our bottom line by developing next generation modeling programs that deliver innovative segmentation and smarter business decisions. This role offers the unique opportunity to build specialized solutions in pricing optimization and behavioral modeling, unlocking insights that influence strategy at every level. Senior Data Scientists have a seat at the table in shaping the both short- and long-term strategic goals for the department and additionally play a key role role in talent development. Senior Data Scientists additionally have direct lines of contact and collaborate deeply with peers in Product and Actuary teams and often present work to pricing leadership. Finally, serving as a Senior Data Scientist at Central means embracing a culture where integrity, strong relationships, and a commitment to excellence guide every decision: both the everyday choices and the pivotal moments. Key Responsibilities of the Role Develops methods and models for mining and extracting data and applies statistics and algorithms necessary to derive insights for Central Insurance Leads more junior staff and teams on development of automated insights generation framework for Central Insurance's business partners Conducts deep statistical analysis, including predictive and prescriptive modeling Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as using it to guide team members Serves as a leading member on automation and analytical projects, collaborating across various functions Works across functions to understand business problems and applies expertise to develop models and insights necessary to provide actionable solutions; helps identify the sources, methods, parameters, and procedures to be used; may also communicate with stakeholders on project scope and timelines Gathers and assimilates data according to the project plan; works with the team to discuss analysis and findings Prepares final recommendations and often delivers recommendations to stakeholders through the communication of complex information Executes projects with full adherence to enterprise project management practices by participating in formal and informal training Provides mentoring and guidance to lower-level employees through peer-reviews Modeling documentation and response to DOI objections Involvement with model deployment including QA testing and validating outputs Required Qualifications Master's degree in Statistics or Analytics or related field and 2 years of related experience Or Bachelor's degree in Statistics or Analytics or related field and 4 years of related experience Or 6 years related experience Preferred Qualifications Experience in building and deploying risk segmentation models in the insurance field Experience in the insurance industry Experience in performing predictive analytics in a large-scale enterprise application Programming experience (Python or R, SQL) Experience using multiple data systems and sources (SMSS, Databricks, DBT) Experience with visualization tools such as Power BI Plotly, Shiny, Streamlit Demonstrated ability to build and utilize APIs Exposure to version control (GIthub) and containers (Docker, Podman) Exposure to Cloud computing in Azure Knowledge, Skills, and Abilities Strong analytical and problem-solving skills Strong data visualization development experience Ability to set priorities and plans to meet business goals and objectives Ability to shift & balance strategic, high-level thinking with attention to detail Ability to lead, motivate & influence without having formal authority Ability to act as a thought leader with a focus on innovative & high-quality solutions Ability to work both independently and in a team environment with internal /external customers Ability to understand, design & implement end-to-end BI workflows Strong organizational, planning & problem-solving skills Ability to communicate with stakeholders and business partners Total Rewards Central establishes base pay based on several factors including labor market data and an evaluation of candidate qualifications relative to role requirements. Base pay is one component of a comprehensive total rewards package designed to support employees' financial, health, career, and retirement objectives. Central provides extensive health and wellness benefits to promote flexibility, work-life balance, and long-term financial security. For more information, see Central Insurance Benefits

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is based in our Tempe office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors. Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain. Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models. Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems. Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment. Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems. Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units. Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows. Requirements: 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is based in our Tempe office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors. Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain. Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models. Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems. Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment. Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems. Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units. Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows. Requirements: 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is based in our Los Angeles office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors. Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain. Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models. Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems. Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment. Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems. Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units. Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows. Requirements: 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Argo Group International Holdings, Inc. and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description PURPOSE OF THE JOB: The Senior Data Scientist should be able to work on multiple projects independently and/or collaborate with other team members. The Senior Data Scientist normally receives little instruction on day-to-day work and receives general instructions on new assignments. This position requires the individual to be very analytical, methodical and should have a passion to work with large amounts of data. This position requires the individual to make sure that the analysis and modelling they perform are free from any errors/incorrect inferences. ESSENTIAL FUNCTIONS: * Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success. * Helps to define and communicate governance principles. * Generates hypotheses about the underlying mechanics of the business process and tests hypotheses using various quantitative methods. * Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), and principal components analysis (PCA). * Applies various ML (machine learning) and advanced analytics techniques to perform classification or prediction tasks, Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias and fairness * Understands new data sources and process pipelines, and catalogs/documents them, acquires access to various databases, and other source systems such as SQL or graph databases. * Trains other business and IT staff on basic data science principles and techniques. * Networks with internal and external partners. * Promotes collaboration with other data science teams within the organization (if there Is a decentralized data science practice). QUALIFICATIONS: * Bachelor's Degree in Computer Science, Statistics, Applied Math or related field. * Five years of experience as a Data Scientist in a reputed organization. JOB FAMILY: Data Scientist Senior Data Scientist Lead Data Scientist Salary range is $90,800 - $184,100 PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at ************. Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

Argo Group International Holdings, Inc. and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description PURPOSE OF THE JOB: The Senior Data Scientist should be able to work on multiple projects independently and/or collaborate with other team members. The Senior Data Scientist normally receives little instruction on day-to-day work and receives general instructions on new assignments. This position requires the individual to be very analytical, methodical and should have a passion to work with large amounts of data. This position requires the individual to make sure that the analysis and modelling they perform are free from any errors/incorrect inferences. ESSENTIAL FUNCTIONS: * Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success. * Helps to define and communicate governance principles. * Generates hypotheses about the underlying mechanics of the business process and tests hypotheses using various quantitative methods. * Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), and principal components analysis (PCA). * Applies various ML (machine learning) and advanced analytics techniques to perform classification or prediction tasks, Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias and fairness * Understands new data sources and process pipelines, and catalogs/documents them, acquires access to various databases, and other source systems such as SQL or graph databases. * Trains other business and IT staff on basic data science principles and techniques. * Networks with internal and external partners. * Promotes collaboration with other data science teams within the organization (if there Is a decentralized data science practice). QUALIFICATIONS: * Bachelor's Degree in Computer Science, Statistics, Applied Math or related field. * Five years of experience as a Data Scientist in a reputed organization. JOB FAMILY: Data Scientist Senior Data Scientist Lead Data Scientist Salary range is $90,800 - $184,100 PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at ************. Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

About Us We're not like other insurance companies. From our specialty products to our business model, our culture to our results - we're different. Different is who we are, and how we work, interact, deliver and succeed together. Creating a different and better insurance experience doesn't just happen. It takes focus and a shared passion for going beyond the expected to forge relationships and deliver care that makes a difference. This approach rises from and is supported by our talented, ethical and smart team of employee owners united around a single purpose: to work alongside our customers and partners when they need us, in unexpected ways, with exceptional results. Apply today to make a difference with us. RLI is a Glassdoor Best Places to Work company with a strong, successful background. For decades, our financial track record has been stellar - a testament to our culture and validation of our reputation as an excellent underwriting company. Role Overview We're hiring a mid-level Data Scientist to play a foundational role in shaping how AI/ML is applied across our Personal Umbrella Policy (PUP) and E&S Property lines of business. This individual will work hands-on to design, build, deploy and maintain curated data and analytical models within Snowflake, collaborating closely with our product, actuarial, analyst and engineering teams. You'll own the full model lifecycle-from experimentation and feature engineering to deployment, monitoring, and retraining-while contributing to the development of a repeatable, scalable data science foundation at RLI. Key Responsibilities * Design, create, document and maintain user-friendly and purpose-built data products for use by models and non-technical end users. * Develop, train, and deploy models using Snowflake Cortex, Snowpark, and integrated Python execution. * Own the end-to-end model lifecycle: experimentation, feature engineering, validation, production deployment, and monitoring. * Work closely with our underwriting, claim, actuarial, and analyst teams to translate business needs into data science solutions. * Design, create, document and maintain user-friendly and purpose-built data products for use by models and non-technical end users. * Partner with data engineering to ensure the availability and readiness of Snowflake-based datasets for modeling and inference. * Contribute to the development of model governance, reusability standards, and operational monitoring frameworks. * Stay current on Snowflake's evolving capabilities to ensure model development aligns with platform best practices. * Assist in building a shared foundation for data science best practices and help inform future tooling and infrastructure investments. Required Qualifications * 3-5 years of hands-on experience in applied data science or machine learning roles. * Proficiency in Python (e.g., scikit-learn, XGBoost, pandas) and SQL. * Experience developing and deploying models in Snowflake using Snowpark, Cortex, or similar cloud-native tools. * Strong understanding of supervised learning, feature engineering, and model performance evaluation. * Proven ability to work cross-functionally with both technical and non-technical stakeholders. * Excellent problem-solving, communication, and documentation skills. * In-office requirement of 3 days minimum in our Peoria or Chicago office. Preferred Qualifications * Background in insurance, risk modeling, or financial services. * Experience working in environments with governed data platforms and production ML workflows. * Exposure to MLOps practices, model versioning, and drift monitoring. Why Join RLI? * Opportunity to shape the future of data science at a financially strong, innovation-minded company. * Work with a modern data stack (Snowflake, Power BI, Azure). * Partner closely with experienced leaders and cross-functional teams. * Make a direct impact on underwriting precision, claims operations, portfolio risk management, and product innovation. Compensation Overview The base salary range for the position is listed below. Please note that the base salary is only one component of our robust total rewards package at RLI. The salary offered will take into account a number of factors including, but not limited to, geographic location, experience, scope & responsibilities of the role, qualifications/credentials, talent availability & specialization, as well as business needs. The below range may be modified in the future. Base Pay Range $107,411.00 - $156,551.00 Total Rewards At RLI, we're all owners. We hire the best and the brightest employees and allow them to share in the company's success through our Total Rewards. With the Employee Stock Ownership plan at its core, the Total Rewards program includes all compensation, benefits and perks that come with being an RLI employee. Financial Incentives * Annual bonus plans * Employee stock ownership plan (ESOP) * 401(k) - automatic 3% company contribution * Annual 401k and ESOP profit-sharing contributions (Up to 15% of eligible earnings) Work & Life * Paid time off (PTO) and holidays * Paid volunteer time off (VTO) to support our communities * Parental and family care leave * Flexible & hybrid work arrangements * Fitness center discounts and free virtual fitness platform * Employee assistance program Health & Wellness * Comprehensive medical, dental and vision benefits * Flexible spending and health savings accounts * 2x base salary for group life and AD&D insurance * Voluntary life, critical illness, & accident insurance for purchase * Short-term and long-term disability benefits Personal & Professional Growth RLI encourages its employees to pursue professional development work in insurance and job-related areas. We make a commitment to employees to provide educational opportunities that help them enhance their skills and further their career advancement. RLI fosters a true learning culture and encourages professional growth through insurance courses, in-house training and other educational programs. RLI covers the cost for most programs and employees typically earn a bonus upon successful completion of approved courses and certifications. Our personal and professional growth benefits include: * Training & certification opportunities * Tuition reimbursement * Education bonuses Diversity & Inclusion Our goal is to attract, develop and retain the best employee talent from diverse backgrounds while promoting an environment where all viewpoints are valued and individuals feel respected, are treated fairly, and have an opportunity to excel in their chosen careers. We actively support, and participate in, initiatives led by the American Property Casualty Insurance Association that aim to increase diversity in the insurance industry. Cultivating an exceptional and diverse workforce to deliver excellent customer service reinforces our culture and is a key to achieving superior business results. RLI is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law.

Argo Group International Holdings, Inc. and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description PURPOSE OF THE JOB: The Senior Data Scientist should be able to work on multiple projects independently and/or collaborate with other team members. The Senior Data Scientist normally receives little instruction on day-to-day work and receives general instructions on new assignments. This position requires the individual to be very analytical, methodical and should have a passion to work with large amounts of data. This position requires the individual to make sure that the analysis and modelling they perform are free from any errors/incorrect inferences. ESSENTIAL FUNCTIONS: * Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success. * Helps to define and communicate governance principles. * Generates hypotheses about the underlying mechanics of the business process and tests hypotheses using various quantitative methods. * Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), and principal components analysis (PCA). * Applies various ML (machine learning) and advanced analytics techniques to perform classification or prediction tasks, Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias and fairness * Understands new data sources and process pipelines, and catalogs/documents them, acquires access to various databases, and other source systems such as SQL or graph databases. * Trains other business and IT staff on basic data science principles and techniques. * Networks with internal and external partners. * Promotes collaboration with other data science teams within the organization (if there Is a decentralized data science practice). QUALIFICATIONS: * Bachelor's Degree in Computer Science, Statistics, Applied Math or related field. * Five years of experience as a Data Scientist in a reputed organization. JOB FAMILY: Data Scientist Senior Data Scientist Lead Data Scientist Salary range is $90,800 - $184,100 PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at ************. Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

Global Analytics Sr. Data Scientist We are looking for a motivated individual to join our Global Analytics Data Science team. This position will have exposure and access to enterprise-grade projects and tools across multiple lines of business and geographic regions, in the fields of Machine-Learning, Artificial Intelligence, Statistical Modelling and Data. What we're looking for * Bachelor's degree or equivalent experience in Mathematics, Statistics, Data Science, Computer Science, Software Engineering or adjacent fields. * 5+ years of experience as a Data or ML Scientist, Analyst, Engineer. Adjacent roles such as Analytics Engineer, AI developer and AI researcher are also welcome. * Programming experience in Python for Data Science, Machine Learning, Artificial Intelligence and Statistics. * Experience building statistical and machine learning models. * Experience working with AI API and models. * Experience in the insurance or financial services industry is preferred but not a must. * Robust foundational knowledge of the mathematics and statistics behind models. * Experience or knowledge in the process of deploying a model into production environments. * Experience using SQL for data extraction and manipulation. * Experience or knowledge in data engineering tools and standards. * Strong communication skills - Being able to translate advanced technical topics to non-technical stakeholders but also of sustaining highly technical conversations with other engineers and developers. * A team player - This position will require collaborating with a variety of teams. Among others some regular interactions will be: MLEngineering to build our solutions, MLOps to deploy our code and models, Architecture to design our solutons, Business stakeholders to identify needs and propose solutions, data engineering to build data pipelines, other analytics and data science teams to provide and receive expertise. * Strong business acumen. Bonus points * Advanced degree in any of the fields mentioned above. * Experience within the insurance industry. * Experience working with APIs. * Solid understanding and experience with Object Oriented Programming. * Experience with tools from the following tech stack: Github, Python, Databricks, VSCode, MLFlow, Jenkins, CI/CD pipelines, Azure, Snowflake, OpenAI.

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions.

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions. We can recommend jobs specifically for you! Click here to get started.