Data Science Internship jobs at Ameritas

Ameritas Life Insurance Corp is looking for a Data Analytics - Business Intelligence Intern to drive the business by providing internal business stakeholders with valuable data analytics and dashboards to better enable them to meet business needs. At Ameritas, our mission is Fulfilling Life. We do that in many ways, but especially by helping people invest in themselves by offering trusted financial products and advice. Because we believe everyone should be happy, healthy, and financially secure, we work hard to provide trusted financial products and valued guidance, including individual life and disability insurance, employee benefits, retirement planning, investments, and wealth management services. This internship will start in January 2026. This is a hybrid role offered in either Lincoln, NE or Cincinnati, OH. What you do: Process and analyze datasets to support business stakeholders. Develop and maintain reports and dashboards using Business intelligence tools like Power BI and Cognos Collaborate with cross-functional teams to understand data needs, use cases and propose solutions. Troubleshoot and resolve data issues as they arise. Collaborate with Data Engineering and IT admin teams as needed to ensure data and reporting tasks are completed on time. Contribute to the documentation of processes and procedures. What you bring: Must be enrolled in a college program at least half-time as defined by your institution for the entire duration of the internship studying computer science, data science, data analytics or related field. Able to commit to a long-term internship working full-time in the summer and part-time during the school year. Full-time hours: 30-40 hours per week Part-time hours: 15-20 hours per week Consistently demonstrates initiative and a professional, self-directed approach to responsibilities and an ability to meet deadlines. Has taken coursework related to data management, databases, AI/Machine Learning, and similar subject matter. Approaches situations with a natural curiosity and has a willingness to learn new tools and technologies. Excellent verbal and written communication and presentation skills. Keen analytical skills and problem-solving skills. Extremely strong PC and Excel skills. Intermediate to advanced experience with SQL is a plus, but not a requirement. What we offer: Our company motto is “Fulfilling Life” and we take that job seriously, with a heavy commitment to volunteering and community support, employee well-being, and providing quality products and services that help our customers create a brighter future. Being a mutual-based organization, the return on our investment goes back into the company, to benefit our members/customers. We're committed to professional development, opportunity, inclusion, and diversity. Team building and collaboration are also priorities. An Equal Opportnity Employer Ameritas has a reputation as a company that cares, and because everyone should feel safe bringing their authentic, whole self to work, we're committed to an inclusive culture and diverse workplace, enriched by our individual differences. We are an Equal Opportunity/Affirmative Action Employer that hires based on qualifications, positive attitude, and exemplary work ethic, regardless of sex, race, color, national origin, religion, age, disability, veteran status, genetic information, marital status, sexual orientation, gender identity or any other characteristic protected by law.

**Company** HSB , United States Empower yourself! Start building your career with a national industry leader! Why intern at HSB? At Hartford Steam Boiler (HSB), a Munich Re company, you will learn what it is like to pursue a career at one of the world's largest reinsurance companies. + As a valued Data Science Intern within our team in the Hartford, CT Office, you will work with HSB's Data Science team on large scale machine learning projects supporting one of our major business areas (insurance, engineering or technology solutions). Desired Major(s) and Level of Education: + MS or PhD Student in Statistics, Computer Science, Mathematics, Physics, Electrical Engineering or a related applied science with a heavy quantitative emphasis. + The ideal candidate is adept at using large data sets to find opportunities for product and process optimization. + Exceptional undergraduate students will also be considered. Skills: + Strong programming experience with Python/R/SQL, with the ability to write well-documented production-level code. + Practical knowledge & experience with statistical methods + Strong analytical and problem-solving skills; ability to work creatively in problem solving environment. + Basic software engineering skills (Git, API, Docker Container, DevOps best practices) + Experience with Spark and distributed computing is a plus. + Experience with Azure cloud development is a plus. + Experience with learning frameworks such as PyTorch or Tensorflow is a plus. + Experience developing or experimenting with generative AI models (ex. LLMs) and associated utilties/workflows is a plus. + **Available to start the internship in May 2026 and work a hybrid schedule in the Hartford, CT Office** HSB's Summer Internship Program provides a well-rounded, engaging and enjoyable experience. Below are some of the key experiences and benefits you can expect. Program Highlights: - Gain hands on experience. - Meet and gain insights from the Senior Leadership Team as well as other leaders and professionals in the organization to develop lasting professional relationships. - Networking opportunities. - Hybrid work schedule to include working on-site in the Hartford, CT office and working from home. - Participate in community outreach. - Opportunity to gain career advice and help you prepare for navigating your career search. - Learn about great careers within the insurance and the impact they make. - Potential full-time career opportunities after graduation. At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are 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 protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.

**Company** HSB , United States Empower yourself! Start building your career with a national industry leader! Why intern at HSB? At Hartford Steam Boiler (HSB), a Munich Re company, you will learn what it is like to pursue a career at one of the world's largest reinsurance companies. + As a valued Data Science Intern within our team in the Hartford, CT Office, you will work with HSB's Data Science team on large scale machine learning projects supporting one of our major business areas (insurance, engineering or technology solutions). Desired Major(s) and Level of Education: + MS or PhD Student in Statistics, Computer Science, Mathematics, Physics, Electrical Engineering or a related applied science with a heavy quantitative emphasis. + The ideal candidate is adept at using large data sets to find opportunities for product and process optimization. + Exceptional undergraduate students will also be considered. Skills: + Strong programming experience with Python/R/SQL, with the ability to write well-documented production-level code. + Practical knowledge & experience with statistical methods + Strong analytical and problem-solving skills; ability to work creatively in problem solving environment. + Basic software engineering skills (Git, API, Docker Container, DevOps best practices) + Experience with Spark and distributed computing is a plus. + Experience with Azure cloud development is a plus. + Experience with learning frameworks such as PyTorch or Tensorflow is a plus. + Experience developing or experimenting with generative AI models (ex. LLMs) and associated utilities/workflows is a plus. + Available to start the internship in May 2026 and work a hybrid schedule in the Hartford, CT Office HSB's Summer Internship Program provides a well-rounded, engaging and enjoyable experience. Below are some of the key experiences and benefits you can expect. Program Highlights: + Gain hands on experience. + Meet and gain insights from the Senior Leadership Team as well as other leaders and professionals in the organization to develop lasting professional relationships. + Networking opportunities. + Hybrid work schedule to include working on-site in the Hartford, CT office and working from home. + Participate in community outreach. + Opportunity to gain career advice and help you prepare for navigating your career search. + Learn about great careers within the insurance and the impact they make. + Potential full-time career opportunities after graduation. At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are 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 protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.

The Mercury Enterprise Data Science team (EDS) is a technology team focused on utilizing data science to drive pricing and product excellence, improving risk assessment models for more accurate underwriting decisions, optimizing claims indemnity through predictive analytics and data insights, improve fraud detection capabilities to minimize financial losses, enhance customer and agency segmentation for targeted marketing, sales & customer experience improvement, and increase operational efficiency by leveraging data-driven decision making. We are seeking curious, passionate, and hard-working students from quantitative academic fields to participate in our fully remote summer internship program. The program will be highly collaborative and immersive, with interns working on real business problems that can span multiple business units within the complex insurance landscape. As a Data Science Intern you will support analytical projects on identifying business opportunities, answering business questions and developing business solutions. But it won't be all work! Mercury executives will host virtual lunch-and-learns with a small group of interns to discuss career aspirations, interns will get to meet Mercury people leaders and team members throughout the organization, and there will be a multitude of virtual social events. Geo-Salary Information An in-person interview may be required during the hiring process Responsibilities Essential Job Functions Interns will work with their managers and fellow interns within an interactive Agile framework that includes daily stand-ups and weekly tactical problem-solving sessions. Interns will also attend the broader meetings within their respective functions to help further contextualize their work. Over the course of the summer, interns will ultimately build a minimum viable product (MVP) and have a “capstone” opportunity to present those findings to the Mercury leadership team. Future full-time opportunities may be available for high performers Paid Internship: $30 per hour Qualifications Education Be legally eligible to work in the U.S. Pursuing a Bachelors (BS/BA) or Masters (MS/MA) degree in an information technology field Able to provide current GPA, as reported by your school. Minimum 3.0 GPA required, 3.5 or higher GPA preferred. Enrolled student attending a university program with an expected graduation date on or after August 2025 Planning to seek full-time employment between December 2026 and September 2027 About the Company Why a Mercury Ignite internship Obtain practical work experience in your field of interest Network with other interns and industry professionals Receive personalized coaching and mentorship Work on real projects and initiatives Earn a competitive wage If you're interested in launching your career with Mercury Insurance - Apply today! Mercury is an equal opportunity employer, committed to the strength of a diverse workforce. Learn more about us here: ********************************************** Pay Range USD $30.00 - USD $30.00 /Hr.

WHO WE ARE Relation Insurance is a leading, innovative company with a strong commitment to excellence and a passion for delivering cutting-edge solutions to our clients. As a key player in the insurance market, we pride ourselves on our dynamic culture, collaborative environment, and continuous drive for success. With a rich history and a bright future ahead, we are looking for exceptional individuals to join our team and contribute to our ongoing growth and success. WHAT WE'RE LOOKING FOR The Data Analyst, Service and Sales, plays a crucial role in collecting, analyzing, and interpreting data to provide actionable insights that support decision-making across various functions. The Data Analyst will collaborate with cross-functional teams to understand data needs, optimize processes, and contribute to the overall efficiency of the organization. The person in this role must have a strong background in data analytics, SQL and Power BI. A GLIMPSE INTO YOUR DAY Collects, cleans, and analyzes data from various sources to identify trends, patterns, and insights. Develops and maintains SQL queries to extract and manipulate data for reporting and analysis. Creates and manages PowerBI dashboards and reports to visualize data and communicate findings to stakeholders. Collaborates with cross-functional teams to understand business requirements and provide data-driven solutions. Performs data validation and ensure data accuracy and integrity. Assists in the development and implementation of data analytics best practices and standards. Supports ad-hoc data analysis requests and provide actionable recommendations. Performs other projects, duties, and tasks, as assigned. WHAT SUCCESS LOOKS LIKE IN THIS ROLE Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field. Minimum 2 years' proven experience as a Data Analyst or similar role. Experience in the insurance industry or a related field preferred. Knowledge of data warehousing concepts and tools preferred. Experience with Vertafore product data structures and reporting. Experience with Salesforce Sales Cloud data structures and reporting. Proficiency in SQL for data extraction, manipulation, and analysis. Experience with PowerBI for data visualization and reporting. Excellent analytical and problem-solving skills. Strong attention to detail and ability to work with large datasets. Effective communication skills to present complex data insights to non-technical stakeholders. Ability to work independently and as part of a team in a fast-paced environment. WHY CHOOSE RELATION? Competitive pay. A safe and healthy work environment provided by our robust benefit program including family health and wellness programs, 401K, employee assistance programs, paid time off, paid holidays and more. Career advancement and development opportunities. . Note: The above is not all encompassing of the full position description. Relation Insurance Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Relation, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is presented within this posting. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. . $58,000.00 - $105,000.00

Mercury Ignite. Your launchpad to a brighter career. Our summer internship program is a 12-week paid internship designed to allow students to gain practical work experience in the Insurance field. This internship gives hands‑on exposure to marketing analytics, including campaign measurement, attribution, segmentation, and experimentation. Interns partner with Marketing, Customer Experience, Product, and Sales to deliver insights that improve acquisition, engagement, and retention. The program includes structured mentorship, cross‑functional meetings, and a final capstone presentation to leaders. The program will be highly collaborative and immersive, with interns working on real business problems that can span multiple business units within the complex insurance landscape. But it won't be all work! Mercury executives will host virtual lunch-and-learns with a small group of interns to discuss career aspirations, interns will get to meet Mercury people leaders and team members throughout the organization, and there will be a multitude of virtual social events. An in-person interview may be required during the hiring process Responsibilities Essential Job Functions: Analyze campaign and channel performance (paid media, owned channels, web) to quantify ROI and surface optimizations. Build dashboards and reporting to track KPIs (e.g., funnel conversion, CAC, LTV proxies, engagement metrics). Support audience segmentation and propensity analyses to improve targeting and personalization. Design and evaluate A/B and multivariate tests; track results and translate findings into recommendations. Perform data hygiene and quality checks; document data definitions and analytical methods. Synthesize insights in clear narratives with visuals for marketing stakeholders. Present a capstone summarizing findings, impact, and proposed next steps. Qualifications Education Requirements: Be legally eligible to work in the U.S Currently pursuing a Bachelor's degree in Data Science, Statistics, Economics, Marketing, Business Analytics, or related field. Able to provide current GPA, as reported by your school. Minimum 3.0 GPA required, 3.5 or higher preferred. Ability to work 40 hours a week, 12-week internship, beginning June 2026. Enrolled student attending a university program with an expected graduation date on or after August 2025 Planning to seek full-time employment between December 2026 and September 2027 Preferred Experience: Coursework in statistics, experimental design, and data visualization. Prior internship/project experience in marketing analytics, growth, or BI. Preferred Skills & Abilities: Excel/Sheets proficiency; experience with SQL; familiarity with visualization tools (Power BI or Tableau); understanding of A/B testing fundamentals; strong communication and problem solving. Exposure to web/app analytics platforms (e.g., Google Analytics or Adobe Analytics), and/or experience with site visit data; familiarity with marketing platforms (e.g., ad platforms, marketing automation). Physical Requirements Physical Actions: Required job duties are essentially sedentary in nature, consisting of occasional walking, standing, lifting and/or carrying ten pounds maximum. About the Company #LI-TG1 Perks and Benefits Why a Mercury Ignite internship Obtain practical work experience in your field of interest Network with other interns and industry professionals Receive personalized coaching and mentorship Work on real projects and initiatives Earn a competitive wage If you're interested in launching your career with Mercury Insurance - Apply today! Mercury is an equal opportunity employer, committed to the strength of a diverse workforce. Pay Range USD $30.00 - USD $30.00 /Hr.

About Us: JUDI Health is a health technology company offering a wide range of benefits administration solutions for employers and health plans. This includes Capital Rx, a public benefit corporation that provides full-service pharmacy benefit management (PBM) solutions to self-insured employers; JUDI Health™, which offers comprehensive health benefit management solutions for employers, TPAs, and health plans; and JUDI , the industry's leading proprietary Enterprise Health Platform. To learn more, visit **************** Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: As a member of the Enterprise Solutions team, you will play a critical role in contributing to the success of Capital Rx's customers leveraging Judi, our Enterprise Health Platform, to service their own pharmacy administrative needs. The Enterprise Solutions team seeks individuals who are passionate to change the landscape of claims processing while providing superior service. This individual will hold responsibility for the setup and ongoing maintenance of accumulator, claims and override data in Judi. Position Responsibilities: Accountable for configuration, load, and maintenance of data from previous adjudication systems into Judi. Provide customers with subject matter expertise in Judi's capabilities, ensuring successful migration to the adjudication platform, with parity of all logic and initiatives. Devise a repeatable process for implementing data in Judi, establishing key milestones, and maintaining up to date project plan. Build and maintain trusting relationships with customers through superior customer service, meeting or exceeded service level metrics. Perform QA and claims testing to validate that data loads yield appropriate adjudication results. Partner with Analytics colleagues to author automated/manual test cases and monitoring processes for configurations and data loads. Proactively identify execution risks around build status and defects, partnering with internal Product teams and clients to surface mitigation strategies. Contribute to playbooks/templates that scale configurations for future client onboardings. Take charge of critical issues or problems to key stakeholders, ensuring swift resolution and communication within service level agreements. Certain times of year may require meeting participation, travel, service support or other requirements outside of standard business hours, including weekends. Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. Minimum Qualifications: 1+ years of experience in an Analyst role, Software Engineering role or related work experience 1+ year of PBM or Health Plan operations experience handling adjudication configurations. Experience performing complex analyses on large sets of data Knowledge of data management, statistics, modeling Experience working with structured and unstructured data Proficient in SQL, JSON, Java, R, Excel, and other data visualization tools Track record of leading cross-functional initiatives, driving high performance, meeting deadlines, and executing on deliverables. Exceptional project / time management, prioritization, and organizational skills to ensure customer satisfaction. Ability to shift between competing priorities and meet organizational goals. Excellent verbal, written, interpersonal and presentation skills. Ability to work effectively with virtual teams. Ability to travel 5-10%. Preferred Qualifications: Bachelor's Degree preferred, or equivalent combination of education, training, and experience. Experience working with AWS Redshift Salary Range$85,000-$100,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. JUDIHealth values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at *********************************************

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The hourly salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual hourly rate for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $35.00 - $45.00 **Target Openings** 30 **What Is the Opportunity?** The goal of the Data Science Leadership Development Program (DSLDP) internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization. As a DSLDP intern, you will be exposed to a challenging professional work experience in data science with planned activities giving you insight into the community at Travelers, and the many ways we solve business problems using cutting edge statistical and analytical techniques. You will assist to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources to generate actionable insights and solutions for client services and product enhancement. With many company-wide events such as Intern Symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management. You will be expected to work together with fellow interns to develop and present solutions to relevant business and data science topics. Applications for this posting will be reviewed on a rolling basis beginning in early November. We encourage you to apply as soon as possible. **What Will You Do?** + The internship offers a training curriculum focused on data science and business acumen. Other program components include formal mentoring, networking, and career guidance. + DSLDP Intern duties will vary based on the specific assignment, within one of our research groups, including: + Bond & Specialty Insurance + Business Insurance Research & Development + Claim Business Intelligence & Analytics + Personal Insurance Research & Development + Other departments, including Artificial Intelligence and Emerging Technologies + Work includes: + Providing recommendations on projects that deal with data science related concepts + Designing and building statistical models, analyses at the right level of complexity to produce relevant results for the business + Identifying, integrating and structuring complex data flows + Identifying new opportunities for analytic solutions + Validate, manipulate and perform data analysis tasks + Provide qualitative and quantitative data support to ensure accuracy of metrics + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Pursuing a Master's or PhD level degree in Statistics, Mathematics, or Data Science. + Applied statistical knowledge and experience solving "real-world" problems. + Demonstrated ability to communicate technical concepts to a non-technical audience. + Experience with a programming language (Python, R, SAS, etc). + Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results. + Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making. + Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands. + Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients. + Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility. + Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude. + Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position. + Leveraging Differences: Proven capacity to works with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives. + Relationship Management: Strong relationship management skills including the ability to seek out, build, foster and maintain productive relationships, networks or alliances to meet goals and achieve results. + Teamwork: Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result. + Work Ethic: Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn. **What is a Must Have?** + Pursuing a Master's or PhD level degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. We are committed to providing accommodation to persons with disabilities. If you require accommodation during the recruitment or interview process we will work with you to accommodate your needs. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .

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.

As a Data Scientist Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES * Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling. * Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks. * Help implement data quality checks, validation routines, and monitoring for automated data workflows. * Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices. * Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development. * Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake. * Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL. * Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets. * Participate in model development, including data profiling, model training, validation, and interpretation. * Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk. * Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value. * Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS * Currently pursuing or recently completed a Master's in Data Science, Computer Science, Statistics, Economics, or related field. * Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL. * Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment. * Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development. * Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred. * Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus. * Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects. * Strong analytical, communication, and problem-solving skills. * A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of "A-/Excellent". #LI-DNI

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $132,800.00 - $219,100.00 **Target Openings** 1 **What Is the Opportunity?** Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques, machine learning algorithms, and AI. As a Data Scientist, you will work with business partners to identify opportunities for data analysis and experiments to solve key business challenges. You will help to design, build, and deliver predictive models of varying complexity, communicate insights, and tell the story using data. As a member of the Applied Research team, you will join a group of highly creative and capable data scientists delivering meaningful impact across several domains. By combining your business acumen with strong technical expertise, you will help stakeholders to solve new or emerging problems through ideation, experimentation, and prototyping. In addition, you will have opportunities to pursue foundational research in anticipation of future business needs. Through exploration of new data, new methods, or new technologies, you will play a key role in unlocking new insights and value for the organization. **What Will You Do?** + Assist in design and development of analytical solutions. + Share knowledge with the community through discussions, presentations, or peer reviews. + Begin to set and manage expectations with business partners for small projects, and with guidance, identify potential conflicts and build consensus. + Communicate analysis, insights, and results to manager, peers and business partners and with guidance, tailor communication to the audience. + Become a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for intern recruiting and talent assessment efforts. + Support various training and skill development initiatives + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Master's in STEM related field or equivalent. + 3 years of related experience. + Strong working knowledge of modeling/ research/analytics or actuarial required. + Relevant statistical analysis work experience required. + Strong Knowledge of statistical techniques with the ability to read/revise/ review statistical software programs. + Ability to develop models and interpret model results. + Understanding of advanced statistics underlying data models. + Ability to apply emerging statistical procedures to work. + Strong knowledge in: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. **What is a Must Have?** + Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus two years of experience or any suitable and equivalent combination of education and work experience. + Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. + Additional verification of specific coursework will be required. **What Is in It for You?** + **Health Insurance** : Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. + **Retirement:** Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. + **Paid Time Off:** Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. + **Wellness Program:** The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. + **Volunteer Encouragement:** We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .

Company:Oliver WymanDescription: About Oliver Wyman Vector Oliver Wyman Vector offers top-tier technical consulting and services to the aviation, aerospace, defense, and rail sectors worldwide. Our experienced team, part of the Oliver Wyman Transportation and Services Practice, delivers impactful solutions to complex industry challenges. Oliver Wyman Vector is looking for an entry level Aerospace, Defense and Government (ADG) Data Analyst to work in our Atlanta office. This role plays a critical part in supporting Oliver Wyman Vector's efforts to develop and execute projects for our clients as well as providing analytical support to our business unit. Visit our website for more details about our company: ****************************** Job specification Job title: Data Analyst Department: Aerospace, Defense & Government Office/region: Atlanta, Georgia Salary Range: $80 - $85k Job Overview: Oliver Wyman Vector (Vector) provides technical consulting and services to the aviation, rail and energy sectors. The Aerospace Defense & Government team develops and executes highly complex work scopes for our clients across a large range of domains. The ADG Data Analyst will be a key client-facing resource focused on supporting the project execution subject matter expert team with technical and analytic support. The Data Analyst will also support the ADG VP team with business performance and market intelligence support. Key Responsibilities: Become familiar with commercial and military aerospace and defense issues and trends Support the ADG team by analyzing how aerospace commercial best practices have quantifiable applicability in defense applications Understand the application of information security frameworks associated with CMMC and NIST 800-171 to projects involving CUI data Undertake complex quantitative, qualitative, strategic and financial analysis through a variety of activities which include: Primary and secondary research Benchmarking Model building Analyzing client data Evaluating improvement initiatives Manipulate large amounts of data and present findings in a structured, cohesive manner Assist in developing and maintaining Oliver Wyman's commercial air transport forecast models Assist in long-term client engagements focused on system transformation Assist in developing client deliverables Assist in developing internal and public facing presentations for Vector and Oliver Wyman Assist in developing internal and public facing publications for Vector and Oliver Wyman Assist in developing full articles and interview responses for commercial aviation magazines and journals from around the world Working closely and productively within teams to achieve established goals Be comfortable working in situations that are ambiguous and highly complex Education and Experience Required: Bachelor's Degree in Engineering or Data Science required Direct experience via Co-op or Internship with aviation environments and data preferred Advanced experience with Microsoft Office Suite (Excel and PowerPoint in particular) Advanced experience with Python, R and SQL required Hands on experience with Cloud data environments and ETL processes preferred US Citizen with the ability to hold a security clearance required Skills and Attributes: Excellent verbal, interpersonal and written communication skills Strong analytical, problem solving and decision-making skills Ability to multi-task in a fast-paced environment Strong interest in the aviation industry Effective time management and organization skills Customer service oriented with ability to adapt to a fast paced & changing work environment Must be able to interface professionally, credibly and objectively with colleagues and clients Team player Self-directed and willing to take initiative Resourceful; able to solve problems with minimal supervision Exhibits attention to detail and is a champion for accuracy and quality Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Looking for more than just a job? You've found it. At Pekin Insurance, you're not a number-you're part of something bigger. For over 100 years, we've built a community where people are valued, supported, and empowered to grow. Here, you'll find a workplace where collaboration is real, ideas are welcome, and the work you do truly matters. We're proud to help people through life's toughest moments-and it's our people who make that possible. From day one, you'll be encouraged to bring your whole self to work, take on meaningful challenges, and grow in ways that matter to you. This is your opportunity to belong, thrive, and make a difference-right here at Pekin Insurance. Position Overview The Data Analyst is responsible for identifying, capturing, analyzing, and managing the company's data, contributing to better decision-making, and planning. The Data Analyst performs data analysis, including conceptualization, modeling, and presentation of data. Additionally, the Data Analyst performs a variety of technical tasks related to capturing, managing, and analyzing data; turning information into insights to support and enable key decisions and business processes. The Data Analyst also supports information governance in conjunction with Architects and Data Stewards. The Data Analyst works to support data science activities by analyzing information, focusing on products or business areas. The Data Analyst could apply an array of basic data science methodologies including statistics, text analytics, algorithms, and numerical optimization, along with specialties such as machine learning. The Data Analyst participates in program increment planning, pre-and-post planning, system, and solution demos, and inspect and adapt events. The Data Analyst may also contribute to the development of the team backlog and architectural runway, management of work in process (WIP) levels, and support of program and solution Kanban. Essential Job Functions Works with varying teams to determine and understand how data analysis can support organizational goals and may lead planning efforts Gathers data to support recommendations to address problems, with appropriate contingency plans Develops recommendations for resolution of problems and reviews recommendations with team Understands and applies information and data analysis requirements Catalogs existing data sources Designs, creates and maintains relational databases and data systems of moderate to high complexity Works with open datasets, including populating and extracting data from internal and public open datasets Cleans data to discard irrelevant information Designs reporting dashboards to translate data to an understandable illustrative format Creates data visualizations and reports to present to a variety of audiences using presentation layer tools Collaborates to establish standards, guidelines, and procedures for data validation, analysis and presentation Fulfills ad hoc reporting requests Performs initial data exploration (binning, pivoting, summarizing and finding correlations, for example) Implements statistical models to identify and reveal trends, patterns, and relationships in data to provide guidance to others for decision making processes Actively suggests analytics opportunities and best practices Enables access to resident and external data sources Helps to streamline a better data supply chain for analytics that goes from experimentation into production Performs other duties as assigned Education & Experience Bachelor's degree or in Computer Science, Information Systems, Business, or other related fields. Or equivalent work experience Typically requires 2-5 years of experience in the desired field or may have intermediate level technical or business work experience Preferred or Specialized Experience in an agile environment strongly preferred Certifications & Licenses N/A Knowledge, Skills & Abilities Demonstrated knowledge of: Business operations, systems requirements and IT processes and technologies Relational databases, NoSQL databases, data extraction, querying, and scripting How data is used within business processes and its impact on desired business process outcomes The security, privacy and quality requirements for critical data entities Demonstrated ability to: Perform data analysis identifying, analyzing and interpreting trends or patterns in structured and unstructured complex data sets Provide support for the adoption of data governance policies Assist in resolving the different points of view and requirements that invariably collide during cross-team and cross-organization efforts Use/leverage spreadsheets and databases Interpret trends or patterns in structured and unstructured complex data sets Summarize findings, draw conclusions and put together presentations for a wide variety of audiences Apply original thinking to produce new ideas and innovate Applicants must be authorized to work in the U.S. without sponsorship now or in the future. Pay Range: $73,500 - $94,000 per year This range is based on the expected level of experience and skills for this position. Final compensation will depend on individual Benefits: Health, Dental and Vision Insurance Generous 401(k) with company match Paid Time Off (PTO) with Paid Holidays Flexible/Hybrid Work Schedule Paid Volunteer Program For more information about the benefits we offer, please visit our Careers Page.

Summary: The Intern for the Data Analytics and Underwriting Team is responsible for performing detailed consultative reviews of the health and welfare plans for prospective and/or existing clients. Focuses on analysis of plans and other financials, budget forecasting, plan modeling, contribution analysis, conducting trend and cost analysis of claim history. The Data Analytics Team supports the client facing consulting teams and the new business sales team in performing the analytical services noted throughout. Principal Responsibilities: Perform detailed consultative review of prospective/existing clients' health and welfare plans, including medical, pharmacy, dental, life, disability, long term care, re-insurance, voluntary plans. Review to include performing detailed gap analysis for all coverages, examining cost and policy data, plan design strategies, budget forecasting followed by detailed recommendations and corrective action steps for prospective/and or existing clients. Work with the new business production team in the consultative review process. Interface with the prospective client in data collection. Prepare recommendations and presentations to support the RFQ/RFP process for new business. Work with Consultants and Associate Consultants to analyze and negotiate rate renewals and year-end financials on behalf of clients. Responsible for proactive preparation for renewal negotiation process through detailed analysis of client objectives, performing claims experience and benchmarking analysis and identifying and introducing market trends to provide clients with an understanding and justification of renewal action. Prepare recommendations and presentations to support the RFQ/RFP process for renewal business. Assist with project analysis work related to current clients. This may include but is not limited to claims analysis, trend and utilization analysis, IBNR and reserve studies, lag analysis, vendor discount reviews and other special on-going data projects requests that may arise on client business Manage and perform benefit cost modeling projects using the BeneFuture tool. Utilize the data results for clients using the BeneView data warehouse. Manage and be engaged with the pharmacy coalition and preferred re-insurance terms. Assist the consulting staff in the proper usage of these features and be engaged in the monitoring and analysis of the continued effectiveness of the tools. Requirements: Exceptional organization and customer service skills. Excellent interpersonal, analytical, written and verbal communication skills. Must be an enthusiastic self-starter, flexible, able to multi-task and delegate or handle responsibilities with minimal supervision. PC proficiency , MS Office (Word and Excel) a must. Working Conditions Office environment with moderate noise level; able to work flexible hours and travel to other Conner Strong buildings and client work sites on a regular basis. Effective June 1st, 2026, the pay rate for this role is $25 per hour. Conner Strong & Buckelew is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, affectional or sexual orientation, gender identity or expression, national origin, ancestry, nationality, age, disability (physical or mental) , marital or domestic partnership or Civil Union status, pregnancy, family medical history or genetic information, atypical cellular or blood trait, military service or any other status protected by law.

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $161,400.00 - $266,300.00 **Target Openings** 1 **What Is the Opportunity?** As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. **What Will You Do?** + Lead business or technical projects focused on the design or development of analytical solutions. + Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. + Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. + Begin to challenge conventional thinking where appropriate. + Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. + Guide technical strategy of teams through own technical expertise. + Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. + Communicate analysis, insights, and results to team, peers, business partners. + Partner with cross-functional teams and leaders to support the successful execution of data science strategies. + Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. + Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Subject matter expertise in modeling/ research/ analytics or actuarial required + Subject matter expertise in value creation and business model concepts + Subject matter expertise in multiple statistical software programs + Ability to develop highly complex models, interpret model results and recommend adjustments + Expertise in advanced statistics underlying data models + Ability to apply emerging statistical procedures to complex work + Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. **What is a Must Have?** + Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. + Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. **What Is in It for You?** + **Health Insurance** : Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. + **Retirement:** Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. + **Paid Time Off:** Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. + **Wellness Program:** The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. + **Volunteer Encouragement:** We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .

Job Description World Insurance Associates is a unique insurance organization offering top products and services from major providers, combined with attentive service from local agents. Founded in 2011, World is one of the fastest-growing insurance brokers in the U.S. with over 2,200 employees in over 260 offices across North America. We specialize in personal and commercial insurance lines, surety and bonding, employee benefits, financial and retirement services, and human capital management solutions. Our rapid growth and market leading presence has created opportunities throughout the state and we offer top talent the choice to work from one of our multiple offices throughout the region. Position Overview This position's primary responsibility will be to provide technical expertise, coordinate day-to-day deliverables for the data analysis & data governance team and interpret and analyze large datasets. The candidate should be well versed in the fields of analytics, testing, programming, and development; able to research technologies independently to recommend appropriate solutions & should contribute to technology-specific best practices & standards; contribute to success criteria from design through deployment; contribute expertise on significant application components, program languages, databases, operating systems, testing phases etc. Key Responsibilities: Conduct in-depth analysis of large datasets to identify trends, patterns, and anomalies Data cleansing and preparation, including cleaning and preprocessing raw data to ensure accuracy and reliability, developing and implement data quality standards and working with a team to integrate and automate data pipelines Create and maintain comprehensive dashboards and reports for key performance indicators Use visualization tools (e.g., Tableau, Power BI) to present complex data in an understandable format Self-motivated with ability to work effectively with limited supervision, enthusiasm for collaboration, continuous learning, and a team player. Advanced Excel expertise (pivot tables, VLOOKUPS, Power Pivot, functions, etc.) Understand importance of code review and automated testing and different levels at which these need to be performed and write and implement tests as required. Bachelor's degree or foreign equivalent from an accredited institution. Preferred Qualifications Experience in design, development, and deployment of BI solutions using PowerBI (DAX, RLS), Python, Pyspark, Google Big query. Knowledge or experience in implementing solutions with Microsoft PowerApps, Power Automate, and/or Common Data Service (Power Platform). Data Governance, Data Quality, Master Data Management knowledge. 3-5+ years of proven experiences as a data analyst 3-5+ years of T-SQL language/query experience with data manipulation (SQL) like stored procedures, functions etc. Knowledge of data models, data modelling (Relational and Dimensional), Data profiling and working with large data environments. Strong communication, team player and advance analytical skills to analyze data issues and drive appropriate actions with data operations and business processes. Position Summary This position is located in New Jersey. The base salary for this position at the time of this posting may range from $80,000 to $90,000. Individual compensation varies based on job-related factors, including business needs, experience, level of responsibility, and qualifications. We offer a competitive benefits package and variable pay programs, please visit ************************************** for more details. Equal Employment Opportunity At World Insurance Associates (WIA), we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. WIA is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or Veteran status. In addition, WIA makes reasonable accommodations to known physical or mental limitations of an otherwise qualified applicant or employee with a disability, unless the accommodation would impose an undue hardship on the operation of our business. TO EXECUTIVE SEARCH FIRMS AND STAFFING AGENCIES: World does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered World's property, and World will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting World's Human Resources Talent Department. #LI-GP1#LI-HYBRID Powered by JazzHR ZrwqzemlNu

World Insurance Associates is a unique insurance organization offering top products and services from major providers, combined with attentive service from local agents. Founded in 2011, World is one of the fastest-growing insurance brokers in the U.S. with over 2,200 employees in over 260 offices across North America. We specialize in personal and commercial insurance lines, surety and bonding, employee benefits, financial and retirement services, and human capital management solutions. Our rapid growth and market leading presence has created opportunities throughout the state and we offer top talent the choice to work from one of our multiple offices throughout the region. Position Overview This position's primary responsibility will be to provide technical expertise, coordinate day-to-day deliverables for the data analysis & data governance team and interpret and analyze large datasets. The candidate should be well versed in the fields of analytics, testing, programming, and development; able to research technologies independently to recommend appropriate solutions & should contribute to technology-specific best practices & standards; contribute to success criteria from design through deployment; contribute expertise on significant application components, program languages, databases, operating systems, testing phases etc. Key Responsibilities: Conduct in-depth analysis of large datasets to identify trends, patterns, and anomalies Data cleansing and preparation, including cleaning and preprocessing raw data to ensure accuracy and reliability, developing and implement data quality standards and working with a team to integrate and automate data pipelines Create and maintain comprehensive dashboards and reports for key performance indicators Use visualization tools (e.g., Tableau, Power BI) to present complex data in an understandable format Self-motivated with ability to work effectively with limited supervision, enthusiasm for collaboration, continuous learning, and a team player. Advanced Excel expertise (pivot tables, VLOOKUPS, Power Pivot, functions, etc.) Understand importance of code review and automated testing and different levels at which these need to be performed and write and implement tests as required. Bachelor's degree or foreign equivalent from an accredited institution. Preferred Qualifications Experience in design, development, and deployment of BI solutions using PowerBI (DAX, RLS), Python, Pyspark, Google Big query. Knowledge or experience in implementing solutions with Microsoft PowerApps, Power Automate, and/or Common Data Service (Power Platform). Data Governance, Data Quality, Master Data Management knowledge. 3-5+ years of proven experiences as a data analyst 3-5+ years of T-SQL language/query experience with data manipulation (SQL) like stored procedures, functions etc. Knowledge of data models, data modelling (Relational and Dimensional), Data profiling and working with large data environments. Strong communication, team player and advance analytical skills to analyze data issues and drive appropriate actions with data operations and business processes. Position Summary This position is located in New Jersey. The base salary for this position at the time of this posting may range from $80,000 to $90,000. Individual compensation varies based on job-related factors, including business needs, experience, level of responsibility, and qualifications. We offer a competitive benefits package and variable pay programs, please visit ************************************** for more details. Equal Employment Opportunity At World Insurance Associates (WIA), we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. WIA is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or Veteran status. In addition, WIA makes reasonable accommodations to known physical or mental limitations of an otherwise qualified applicant or employee with a disability, unless the accommodation would impose an undue hardship on the operation of our business. TO EXECUTIVE SEARCH FIRMS AND STAFFING AGENCIES: World does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered World's property, and World will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting World's Human Resources Talent Department. #LI-GP1 #LI-HYBRID

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $161,400.00 - $266,300.00 Target Openings 1 What Is the Opportunity? As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. What Will You Do? * Lead business or technical projects focused on the design or development of analytical solutions. * Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. * Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. * Begin to challenge conventional thinking where appropriate. * Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. * Guide technical strategy of teams through own technical expertise. * Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. * Communicate analysis, insights, and results to team, peers, business partners. * Partner with cross-functional teams and leaders to support the successful execution of data science strategies. * Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. * Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. * Perform other duties as assigned. What Will Our Ideal Candidate Have? * Subject matter expertise in modeling/ research/ analytics or actuarial required * Subject matter expertise in value creation and business model concepts * Subject matter expertise in multiple statistical software programs * Ability to develop highly complex models, interpret model results and recommend adjustments * Expertise in advanced statistics underlying data models * Ability to apply emerging statistical procedures to complex work * Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. What is a Must Have? * Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. * Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. What Is in It for You? * Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. * Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. * Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. * Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. * Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit *********************************************************

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $161,400.00 - $266,300.00 **Target Openings** 1 **What Is the Opportunity?** As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. **What Will You Do?** + Lead business or technical projects focused on the design or development of analytical solutions. + Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. + Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. + Begin to challenge conventional thinking where appropriate. + Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. + Guide technical strategy of teams through own technical expertise. + Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. + Communicate analysis, insights, and results to team, peers, business partners. + Partner with cross-functional teams and leaders to support the successful execution of data science strategies. + Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. + Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Subject matter expertise in modeling/ research/ analytics or actuarial required + Subject matter expertise in value creation and business model concepts + Subject matter expertise in multiple statistical software programs + Ability to develop highly complex models, interpret model results and recommend adjustments + Expertise in advanced statistics underlying data models + Ability to apply emerging statistical procedures to complex work + Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. **What is a Must Have?** + Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. + Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. **What Is in It for You?** + **Health Insurance** : Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. + **Retirement:** Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. + **Paid Time Off:** Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. + **Wellness Program:** The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. + **Volunteer Encouragement:** We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .