- Own end-to-end delivery and outcomes for predictive underwriting and pricing workstreams.
- Frame evidence-based recommendations and manage trade-offs across model quality, cost, and scalability.
- Define requirements for analytics-ready datasets, claims, pharmacy, and underwriting data.
- Develop, compare, and validate predictive models using rigorous point-in-time approaches.
- Champion reuse, standardization, and componentization of data science assets across the organization.
- Translate model outputs into decision support to improve underwriting accuracy and efficiency.
- Ensure solutions operate within regulatory, privacy, and responsible-AI expectations.
- Mentor team members and contribute to technical reviews and statistical method evaluations.
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