Lead Data Scientist
OnsiteReinsurance Life HealthPredictive Modelling & MLUW Support & Portfolio ManagementReinsurance Structuring & Pricing
Role Summary
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Lead Data Scientist role at a life & health reinsurance firm in Chesterfield, MO. You will design and deploy predictive models for pricing, risk assessment and claims, lead cross-functional analytics projects, and set model governance and strategy. Senior leadership role requiring 8+ years and advanced quantitative and cloud deployment experience.
JOB DESCRIPTION SUMMARY
- Lead design and architecture of predictive models for life and health reinsurance
- Mentor data scientists and actuaries and lead cross-functional projects
- Deploy scalable models in cloud environments (AWS/Azure/Databricks)
- Set model governance, validation, monitoring and documentation standards
- Senior role based in Chesterfield, MO with 8+ years' experience required
DOMAIN EXPERTISE
- life/health reinsurance experience
- mortality and morbidity modeling
- reinsurance treaty structures and underwriting processes
- survival analysis and time series forecasting
- deploying models in cloud production (AWS/Azure/Databricks)
KEY REQUIREMENTS
- Master's or Ph.D. in a quantitative field required
- 8+ years of data science experience leading predictive modeling projects
- Strong background in life/health insurance or reinsurance required
- Hands-on Python, R and SQL plus cloud deployment (AWS/Azure/Databricks)
- Experience with containerization (Docker), orchestration (Kubernetes) and CI/CD
TECH STACK
- Databricks
- Snowflake
- Jupyter_Notebook
- Git_GitHub
