Data Scientist-Health and Risk Solutions

Sun Life Financial-posted 27 days ago

Full-time • Mid Level

Hybrid • Hartford, CT

5,001-10,000 employees

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Sun Life embraces a hybrid work model that balances in-office collaboration with the flexibility of virtual work. Internal candidates are not required to relocate near an office. The opportunity: The Data Scientist provides advanced analytics support within the Business Analytics function that applies the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business. This team is expected to work closely with the other teams across the organization, including functional teams and the analytic agile squads supporting AI use cases within various business domains. This position reports to the Director of Advanced Analytics Transformation within the Health and Risk Solutions business. Responsibilities include helping to develop and monitor predictive model and AI solutions to support our pricing, underwriting and clinical review processes, as assigned. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes and promoting a culture of data-driven risk-based decisions.

Apply data science techniques to solve business problems across various analytical areas, including exploratory data analysis, feature engineering, predictive modeling, visualization
Develop, validate, and maintain high-quality, robust predictive models and AI solutions that meet business and technical requirements
Utilize multiple sources of data, including structured and unstructured data, along with variety of machine learning techniques to improve model performance and interpretability
Write clean, modular, and well-documented code that can be deployed and maintained in production
Interpret data and model outputs to generate clear actionable insights and recommendations that drives business decisions.

Ability to work with a diverse range of people
BS/MS in a statistical, mathematical, or technical field (e.g., computer science, actuarial science)
2+ years of experience in developing and implementing data science techniques
Healthcare or health insurance experience preferred, particularly with experience in pricing, underwriting and clinical domains. Will consider candidates that have experience in other insurance product lines.
Demonstrated academic or industry experience with generative AI including prompt engineering, RAG workflows and integrating LLMs into business process
Familiarity with MLOps practices, including model deployment, monitoring, and lifecycle management
Strong knowledge of statistical and data science techniques, including machine learning, data visualization, A/B testing, and experience with databases
Proficiency in Python and SQL for data manipulation, modeling, and automation
Experience with machine learning framework and libraries
Ability to turn proof-of-concept model into production-ready code and reproducible workflows
Commitment to data compliance, model governance and security protocols
Strong business acumen to understand why and how the work we do will impact our business stakeholders
Strong problem-solving skills and effective communication, with an ability to explain technical concepts to a non-technical audience

At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program.
Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account.
Enjoy a flexible, inclusive and collaborative work environment that supports career growth.
We're proud to be recognized in our communities as a top employer.
Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row.

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