Position Details
About this role
This role involves leading the development and deployment of advanced statistical and machine learning models supporting actuarial pricing and reserving within the Employee Benefits division.
Key Responsibilities
- Develop statistical and ML models
- Partner with actuarial teams
- Manage model lifecycle
- Implement MLOps practices
- Lead analytics projects
Technical Overview
Technical environment includes data science tools, ML frameworks, MLOps practices, and collaboration with actuarial and engineering teams to deliver scalable analytics solutions.
Ideal Candidate
The ideal candidate is a senior data scientist with 8+ years of experience in statistical modeling, machine learning, and MLOps, capable of leading full model lifecycle projects and collaborating with actuarial teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 8 years of experience, Lack of hands-on ML or MLOps experience, No experience with actuarial or insurance data
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