Position Details
About this role
A role focused on developing and deploying statistical and machine learning models to support insurance pricing, segmentation, and underwriting strategies.
Key Responsibilities
- Create statistical models and machine learning techniques
- Support loss modeling solutions
- Collaborate with business partners
- Develop long-term tools
- Stay current on research techniques
Technical Overview
Utilizes Python for data analysis, statistical modeling, and machine learning; involves model lifecycle management and data sourcing within an insurance context.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in statistical modeling and machine learning, preferably within insurance or financial services. Strong communication and collaboration skills are essential.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python, No experience in insurance or actuarial modeling, Less than 3 years of relevant experience
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile