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About the 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 the demand and aggregation models to inform broader pricing and business mix decisions.
Responsibilities
- Lead homeowners insurance modeling efforts, setting clear priorities, technical standards, and best practices while fostering a culture of ownership, rigor, and continuous improvement
- Own the design and annual build of our by-peril loss models
- Expand modeling capabilities across conversion, retention, and aggregation to inform pricing strategy, business mix, and portfolio performance
- Implement and scale models within our Airflow-based Python modeling pipeline, ensuring robust testing, validation, reproducibility, and long-term maintainability
- Develop reusable analytical tooling and workflows that improve efficiency, consistency, and scalability across the actuarial team
- Partner cross-functionally with Insurance Product, Underwriting, and Engineering to translate complex modeling insights into clear business recommendations and ensure successful production deployment
Requirements
- Bachelor’s degree in statistics, mathematics, data science, or another quantitative field; advanced degree a plus
- 5+ years of experience in data science, analytics, or actuarial modeling in insurance, preferably personal lines or property
- Working knowledge of P&C insurance in loss cost modeling; exposure to demand, underwriting, and/or claims modeling
- Strong background in statistical modeling: GLMs, regularization, tree-based ensembles (XGBoost, LightGBM), and model validation techniques
- Knowledge of actuarial principles as they relate to insurance pricing
- Advanced proficiency in Python (pandas, scikit-learn, statsmodels) and SQL
- Excellent communication skills and ability to build trust with stakeholders at all levels
- Actuarial credentials - ACAS/FCAS
- Master’s degree in a quantitative discipline
- Experience working in modern data platforms, including familiarity with cloud infrastructure (e.g., AWS) and workflow orchestration tools (e.g., Airflow)
- Experience with catastrophe modeling, geospatial analytics, or climate risk data
Skills
- Python
- SQL
- GLMs
- Regularization
- Tree-based ensembles (XGBoost, LightGBM)
- Model validation techniques
- Cloud infrastructure (e.g., AWS)
- Workflow orchestration tools (e.g., Airflow)
- Catastrophe modeling
- Geospatial analytics
- Climate risk data
Location
- San Francisco Bay Area, CA
- Austin, TX
- Dallas, TX
- Morristown, NJ
Work Type
- Flexible
- Hybrid
Experience Level
- 5+ years of experience in data science, analytics, or actuarial modeling in insurance
Education Level
- Bachelor’s degree in statistics, mathematics, data science, or another quantitative field
- Advanced degree a plus
- Master’s degree in a quantitative discipline
Salary/Compensations
- $145,000- $160,000 for Texas (Austin and Dallas regions)
- $155,000- $180,000 for SF Bay Area (and New Jersey)
Benefits
- Relocation Assistance
- Multiple medical plans to choose from
- 100% employer covered dental & vision plans for team members and their families
- 401(k)-retirement plan
- Short & long-term disability
- Employer-paid life insurance
- Flexible Spending Accounts (FSA) for health and dependent care
- Employee Assistance Program (EAP)
- Equity compensation
- Training and internal career growth opportunities
- Flexible Time Off
- 12 weeks of parental leave for primary and secondary caregivers
- Snacks and drinks available
- Catered lunches for onsite employees
About the Company
- 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.
Equal Opportunity
- 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.