Data Scientist designing and implementing analytical solutions using Python and AI technologies. Collaborating cross - functionally to deliver Generative AI solutions for business needs in a hybrid setup.
About the role
- Data Scientist using advanced analytics and machine learning to improve business outcomes in the Health and Risk Solutions team at Sun Life. Collaborates across teams to drive AI initiatives and insights.
Responsibilities
- provide advanced analytics support within the Business Analytics function
- apply the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business
- work closely with other teams across the organization, including functional teams and the analytic agile squads supporting AI use cases within various business domains
- report to the Director of Advanced Analytics Transformation within the Health and Risk Solutions business
- develop and monitor predictive model and AI solutions to support pricing, underwriting and clinical review processes
- apply machine learning techniques to streamline and automate aspects of processes
- promote a culture of data-driven risk-based decisions
- interpret data and model outputs to generate clear actionable insights and recommendations that drives business decisions
Requirements
- 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
- demonstrated academic or industry experience with generative AI including prompt engineering, RAG workflows and integrating LLMs into business process is required
- healthcare or health insurance experience preferred
- 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
- strong problem-solving skills and effective communication, with an ability to explain technical concepts to a non-technical audience
Benefits
- generous vacation and sick time
- market-leading paid family, parental and adoption leave
- medical coverage
- company paid life and AD&D insurance
- disability programs
- partially paid sabbatical program
- 401(k) employer match
- stock purchase options
- employer-funded retirement account
- flexible, inclusive and collaborative work environment
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