Data Scientist-Health and Risk Solutions
HybridStop LossCommercial Employer HealthPricing & RatingPredictive Modelling & MLUW Support & Portfolio Management
Role Summary
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Associate-level data scientist role supporting Health and Risk Solutions in Wellesley Hills, MA. You will build, validate and productionize predictive models and AI solutions to support pricing, underwriting and clinical review. The role emphasizes machine learning, MLOps, and integrating generative AI/LLMs for health insurance products (including stop-loss and employer health). Reports to the Director of Advanced Analytics Transformation.
JOB DESCRIPTION SUMMARY
- Develop, validate, and maintain predictive models for pricing and underwriting
- Apply ML and generative AI (LLMs, RAG) across health insurance use cases
- Write production-ready code and implement MLOps/model monitoring
- Hybrid role based in Wellesley Hills, MA, reporting to Director of Advanced Analytics Transformation
- Ideal for candidates with 2+ years' data science experience and Python/SQL skills
DOMAIN EXPERTISE
- Developing and implementing data science techniques
- Integrating LLMs and generative AI into business workflows
- MLOps, model deployment and monitoring
- Python and SQL for data manipulation and modeling
KEY REQUIREMENTS
- 2+ years of experience developing and implementing data science techniques
- BS/MS in a statistical, mathematical, or technical field
- Proficiency in Python and SQL for data manipulation and modeling
- Experience with ML frameworks and deploying production models (MLOps)
- Demonstrated experience with generative AI, prompt engineering and LLM integration
TECH STACK
- No tech stack specified
