Data Scientist – Health and Risk Solutions

Role Overview

• Provide advanced analytics support within the Business Analytics function applying data and machine learning to improve business outcomes across the Health and Risk Solutions business
• Develop, validate, and maintain high-quality predictive models and AI solutions
• Utilize multiple data sources, including structured and unstructured data
• Write clean, modular, and well-documented code that can be deployed and maintained in production
• Interpret data to generate clear actionable insights and recommendations

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 processes 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, and A/B testing
• Proficiency in Python and SQL for data manipulation, modeling, and automation
• Experience with machine learning frameworks and libraries

Tech Stack

• Python
• SQL

Benefits

• Health insurance
• 401(k) employer match
• Stock purchase options
• Employer-funded retirement account
• Generous vacation and sick time
• Market-leading paid family, parental, and adoption leave
• Disability programs
• Partially paid sabbatical program
• Flexible, inclusive, and collaborative work environment that supports career growth