Role Summary

HIGHLIGHTS

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

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Role Summary

HIGHLIGHTS

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

Role Summary

HIGHLIGHTS

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