Role Summary

HIGHLIGHTS

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

Role Summary

HIGHLIGHTS

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