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An Actuarial Data Scientist at Hippo leads loss cost modeling for the Homeowners insurance program — designing and deploying predictive frequency/severity models and building Python- and SQL-based analytics pipelines (Airflow-orchestrated), while partnering with pricing, underwriting, and engineering.
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.
About You:
You are a hands-on leader with a strong background in loss modeling. You bring structure to ambiguity and enjoy building scalable work and collaborating with other teams. 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:
Must Haves:
Nice to Haves:
The base pay range for this role is $145,000- $160,000 for our Texas (Austin and Dallas regions). The SF Bay Area (and New Jersey) base pay range for this role is $155,000- $180,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.
Benefits and Perks:
Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with:
Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion.
Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known.
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