Role OverviewDevelop machine learning models for various P&C insurance products, build and maintain GLM-based pricing models, and partner with actuarial and underwriting teams to translate business problems into analytical solutions.
What You Will Do
Perform model comparison, design feature engineering pipelines, conduct model validation, and deploy models using Databricks-based workflows.
Why It Might Be a Fit
The ideal candidate has 7+ years of experience in P&C insurance analytics, pricing, or actuarial-adjacent Data Science roles, with proficiency in advanced Machine Learning, NLP, and DL techniques.
Requirements
- 7+ years of experience in P&C insurance analytics, pricing, or actuarial-adjacent Data Science roles
- Proficiency in advanced Machine Learning, NLP, and DL techniques
- Hands-on, end-to-end ownership mindset from data preparation to model deployment
- Proven ability to work with large, complex insurance datasets and explain analytical results to non-technical stakeholders
Benefits
- Document modeling methodology, assumptions, and results to support model governance and regulatory review
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