Job Description
Our client is seeking a Data Scientist to support the Group Insurance organization, with a focus on traditional machine learning use cases for medical and financial underwriting. This role is hands‑on and data‑driven, partnering closely with actuaries and technology teams to develop and support predictive models used in underwriting and pricing.

Responsibilities
- Develop and apply traditional machine learning models (classification, survival models) for underwriting and pricing use cases
- Perform data extraction, cleaning, validation, and feature engineering on large datasets
- Analyze data quality issues and assemble usable analytical datasets from multiple sources
- Build and evaluate models using Python in an AWS cloud environment
- Partner with actuaries, IT, and ML engineering teams to support model deployment and testing
- Assist with troubleshooting, validation support, and research for failed test cases

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