Actuarial Data Scientist
Position Summary & Responsibilities
Title: Actuarial Data Scientist
Location: San Francisco Bay Area, CA / Austin, TX / Dallas, TX / Morristown, NJ (Flexible / Hybrid)
Reporting to: Sr. Manager, Actuarial Data Science
Open to Relocation? We’ve Got You Covered:
This role is open to candidates willing to relocate to one of our hub locations. Hippo offers relocation assistance to support your move, so you can focus on doing impactful work—not the logistics of getting here.
About Hippo:
Hippo was built on a promise: make homeownership effortless. Nearly a decade later, that mission still drives us. We use technology and data to help our customers stay ahead of problems and protect what matters most.
Today, that same tech-native approach powers our work beyond homeowners. Hippo operates as a diversified carrier platform, partnering with MGAs to deliver tailored program solutions that help them grow and deliver better customer experiences. Behind that work is a team that values ownership, curiosity, collaboration, and continuous improvement.
If you're energized by building what's next, we'd love to meet you.
About This Role:
We’re hiring an actuarial data scientist to lead loss cost modeling for Hippo’s Homeowners program. This role will own the design, development, and deployment of predictive models for frequency and severity, ensuring strong alignment with pricing strategy and business objectives. You’ll build and scale Python- and SQL-based tooling that embeds expected loss ratio and segmentation analytics into reusable, production-ready workflows. In addition to leading loss cost modeling, you’ll have the opportunity to expand the team’s modeling capabilities across demand and aggregation models to inform broader pricing and business mix decisions.
Key Role Competencies & Evaluation Highlights
Testing operational grit, resourcefulness, and adaptability within a lean, high-growth organizational structure.
Apply for Actuarial Data Scientist
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