Position Details
About this role
This role involves developing advanced machine learning and statistical models to support pricing, segmentation, and underwriting strategies within the insurance sector, leveraging modern AI tools and techniques.
Key Responsibilities
- Develop and validate ML models
- Support model deployment and monitoring
- Collaborate with cross-functional teams
- Explore new data sources
- Modernize modeling frameworks
Technical Overview
The technical environment includes Python, SQL, cloud ML platforms, MLOps pipelines, and generative AI, with a focus on model deployment, validation, and continuous monitoring.
Ideal Candidate
The ideal candidate is a senior data scientist with over 5 years of experience in developing machine learning and statistical models, proficient in Python and SQL, with strong collaboration and communication skills. Experience with cloud ML environments and MLOps pipelines is preferred.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Less than 5 years experience, Lack of Python or SQL skills, No experience with ML or AI, No advanced degree in relevant field
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