VP, Data Science - Cohort Modeling
Core
Lead teams developing predictive models for underwriting, pricing, and portfolio management for commercial insurance.
Role type
VP, Data Science (Cohort Modeling)
Builds
AI-enabled pricing processes and frameworks for commercial insurance
Domain
Insurance / Commercial Property & Casualty
Deliverable
production ML models
Required skills
Machine learning, statistical analysis, commercial insurance product knowledge, team leadership, stakeholder influence, regulatory compliance
Preferred skills
Strategic analytics translation, innovation driving, executive presentation
Technologies
AI-enabled pricing frameworks
Responsibilities
Lead teams developing predictive models for underwriting, pricing, and portfolio management; Enhance and implement AI-enabled pricing processes and frameworks; Mentor and guide analytics staff across modeling disciplines; Collaborate with cross-functional partners (actuarial, underwriting, product, technology); Ensure analytics solutions comply with regulatory and data privacy standards; Advise SVP on strategic analytics and modeling initiatives.
Seniority
VP, strategic leadership & hands-on IC