Position Details
About this role
This role involves developing and deploying advanced predictive models to support insurance pricing, segmentation, and underwriting strategies, leveraging data science and actuarial expertise.
Key Responsibilities
- Develop predictive models
- Validate models
- Deploy models
- Collaborate with teams
- Support pricing strategies
Technical Overview
The technical scope includes Python, SQL, ML model development, validation, deployment, and monitoring, with tools like Git and cloud ML environments, within a hybrid work setting.
Ideal Candidate
The ideal candidate is a senior data scientist with 5+ years of experience in Python and SQL, skilled in developing, validating, and deploying predictive models, with familiarity in actuarial science and ML pipelines. They should be able to lead projects and collaborate across teams in a hybrid environment.
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 experience with model deployment or validation, Unwilling to work in a hybrid environment, No actuarial or insurance analytics background
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