VP, Insurance Data Science
Core
Set strategic direction for data science in insurance, focusing on cost and demand modeling for pricing and underwriting algorithms.
Role type
VP, Insurance Data Science (Strategic Leader & Hands-on IC)
Builds
Production ML models for pricing and underwriting in personal lines insurance (homeowners, auto)
Domain
Insurance / Predictive Modeling / Actuarial Science
Deliverable
production ML models
Required skills
Predictive modeling (GLMs, gradient boosting, neural networks), Cost modeling (loss ratio, frequency, severity), Demand modeling (conversion, retention, price elasticity), Team leadership (15+ years exp, 8+ years leading), Actuarial context familiarity, Cross-functional collaboration, Strategic prioritization
Preferred skills
Experience in regulated, data-intensive industries, Growth-stage company experience
Technologies
GLMs, Gradient Boosting, Neural Networks, ML frameworks
Responsibilities
Own vision and delivery of data science capabilities; Partner with pricing/underwriting/product leadership; Set technical standards for modeling suite; Govern model lifecycle; Lead and develop the data science team; Represent data science in senior leadership conversations
Seniority
VP, Strategic Leadership & Hands-on Technical Direction