Director of Data Science
Core
Lead Personal Insurance actuarial modeling and predictive analytics for frequency, severity, and loss cost estimates within the Actuarial Strategic Modeling department.
Role type
Director of Data Science (Actuarial Modeling)
Builds
Production-ready predictive models integrated into actuarial workflows for personal auto and homeowners insurance.
Domain
Insurance (Personal Auto/Homeowners) + Actuarial Science + Machine Learning
Deliverable
production ML models
Required skills
Statistical modeling, machine learning algorithm development, Python, R, SQL, end-to-end modeling lifecycle management, team leadership, strategic planning
Preferred skills
Actuarial professional designations (FCAS, FSA, CSPA, ACAS, ASA), experience in cloud-native environments (Snowflake, Sagemaker), experience with data engineering teams
Technologies
Python, R, SQL, Snowflake, Sagemaker
Responsibilities
Serve as model owner for personal insurance predictive models ensuring alignment with ratemaking priorities; lead design, maintenance, and deployment of models for frequency, severity, and loss cost estimates; partner with cross-functional teams to connect modeling initiatives with business strategies; drive modernization through advanced modeling techniques and AI; ensure robust documentation, validation, and governance of model performance; mentor and develop team members; participate in enterprise initiatives for model integration.
Seniority
Director, strategic leadership with hands-on technical oversight