VP adjoint(e), Science des données et modélisation de la tarification
Core
Leading a team to develop and deploy advanced pricing models, machine learning solutions, and predictive analytics to drive profitable growth and improve customer experience in the insurance industry.
Role type
Senior leadership IC / Team Lead (Data Science & Pricing Modeling)
Builds
Advanced pricing models, machine learning solutions, predictive analytics capabilities
Domain
Insurance (Damage Insurance) + Data Science / Machine Learning
Deliverable
production ML models
Required skills
Pricing analytics, predictive modeling, machine learning, team leadership, stakeholder influence, business strategy alignment, regulatory compliance, innovation in analytics
Preferred skills
Graduate degree in data science/statistics/actuarial science, deep knowledge of damage insurance industry, proven track record in building high-performing teams
Technologies
Machine learning frameworks, predictive modeling tools, analytics platforms
Responsibilities
Lead and develop a high-performing team of managers, data scientists, and analysts; Pilot development and deployment of advanced pricing models and ML solutions; Collaborate with business leaders to identify opportunities for data-driven impact; Translate complex analyses into clear business recommendations; Supervise model governance, validation, and performance monitoring; Foster innovation by exploring emerging technologies; Collaborate with Pricing, Actuarial, Risk, and Technology teams; Drive adoption of analytical tools and strategic insights across the organization.
Seniority
Senior, hands-on IC with leadership responsibilities