Position Details
About this role
Lead the development and deployment of predictive models for Workers' Compensation insurance, utilizing advanced analytics, machine learning, and actuarial techniques to optimize pricing and risk assessment.
Key Responsibilities
- Lead WC modeling
- Manage predictive model development
- Collaborate with actuarial team
- Drive model validation
- Optimize pricing strategies
Technical Overview
Focus on predictive modeling, machine learning, statistical analysis, and model deployment using R, Python, and data management tools within an insurance environment.
Ideal Candidate
The ideal candidate is an experienced data scientist or actuary with 8+ years in predictive modeling, machine learning, and actuarial analytics, capable of leading model development and deployment within an insurance context.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Required
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 8 years of experience, No experience with predictive modeling or machine learning, Lack of actuarial certification
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile