Director of Data Science
HybridWorkers CompPredictive Modelling & MLPricing & RatingData Engineering
Role Summary
Loading...HIGHLIGHTS
Director-level data science role at a P&C insurer leading Workers' Compensation predictive and pricing models. You will manage a team of data scientists and actuaries, drive ML model development and deployment, and partner with underwriting, product, and data engineering. Hybrid role based in Hartford, CT (3 days/week) with responsibility for models covering a large premium portfolio.
JOB DESCRIPTION SUMMARY
- Lead Workers' Compensation predictive models for frequency, severity, and loss cost
- Manage and mentor a team of data scientists and actuaries
- Develop and deploy ML models in Python/R with SQL and cloud tools
- Hybrid schedule — 3 days/week in office (Tue–Thu); offices include Hartford, CT
- Director-level role; 8+ years analytical experience recommended
DOMAIN EXPERTISE
- Workers' Compensation predictive modeling and pricing
- End-to-end modeling lifecycle: development, validation, monitoring
- Machine learning model development in Python/R
- SQL and cloud-native model deployment (Snowflake, SageMaker)
KEY REQUIREMENTS
- Prior management experience leading analytics or modeling teams
- Experience owning Workers' Compensation predictive/pricing models
- Expertise building ML models in Python and/or R
- Experience with SQL and cloud-native environments (e.g., Snowflake, SageMaker)
- Authorized to work in the US without company sponsorship
TECH STACK
- Snowflake
- Other_BI_Tool