Manager, Actuarial Data Science
Manager, Actuarial Data Science position — see original posting for full details.
Title: Manager, Actuarial Data Science
Location: San Francisco Bay Area, CA / Austin, TX / Dallas, TX / Morristown, NJ (Flexible / Hybrid)
Reporting to: Director, Actuarial
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 are seeking a Manager to lead an insurance modeling team responsible for supporting Hippo’s owned Homeowners program. This role will be responsible for developing modeling capabilities that support pricing, underwriting, and growth, with a strong focus on loss modeling, demand modeling, and weather risk. This role will also develop advanced Python and SQL based tooling that packages core pricing and expected loss ratio analytics into scalable, reusable workflows, significantly improving the efficiency and consistency of segmentation analyses.
You’ll be responsible not only for building high-quality models, but also for seeing their use through to completion in both offline and production systems as appropriate. This role works closely with Pricing, Underwriting, Claims, Product, and Data Engineering, and is ideal for someone who is equally comfortable diving into technical details as they are communicating clearly with non-technical stakeholders.
About You:
You are a hands-on data science leader with a strong background in loss modeling. You bring structure to ambiguity, enjoy building scalable work, and take pride in developing people on your team. You think critically about model maintenance cost and you balance scientific rigor with practical business impact. You communicate clearly, document thoroughly, and operate with a strong sense of ownership.
What You’ll Do:
Posted June 7, 2026