Position Details
About this role
This role involves developing and deploying advanced predictive models to support pricing, underwriting, and portfolio insights within the insurance sector, leveraging machine learning and statistical techniques.
Key Responsibilities
- Develop predictive models
- Validate and monitor models
- Collaborate with actuarial and data teams
- Support deployment of ML solutions
- Enhance analytics capabilities
Technical Overview
The technical environment includes Python, SQL, cloud ML platforms, and MLOps pipelines, with a focus on statistical modeling, ML deployment, and data analysis.
Ideal Candidate
The ideal candidate is a senior data scientist with 5+ years of experience in statistical modeling, machine learning, and data analysis, preferably within insurance. They should have strong Python and SQL skills, experience with MLOps, and a background in actuarial science or related fields.
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 or SQL, No background in statistical or ML modeling, No experience with MLOps or cloud ML environments, Lack of relevant industry 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