Actuarial Data Scientist
About this role
Designing and deploying predictive models for frequency and severity takes up the core of this daily routine, ensuring close alignment with pricing strategy and business objectives. Building and scaling Python and SQL tooling embeds expected loss ratio and segmentation analytics into reusable, production-ready workflows for the homeowners program.
Hippo uses a tech-native approach to operate a diversified carrier platform that delivers tailored program solutions. The engineering and actuarial groups value ownership, curiosity, collaboration, and continuous improvement while developing products for homeowners.
Applicants should bring a strong background in loss modeling, a talent for bringing structure to ambiguity, and a commitment to practical business impact. This position suits individuals who balance scientific rigor with model maintenance costs and enjoy mentoring peers.
What you will do
- Lead homeowners insurance modeling efforts by setting technical standards, priorities, and best practices.
- Manage the design and annual build of by-peril loss models.
- Expand modeling capabilities across conversion, retention, and aggregation to influence pricing strategy and portfolio performance.
- Implement and scale models inside an Airflow-based Python modeling pipeline with a focus on reproducibility and testing.
- Create reusable analytical workflows and tooling to boost consistency across the actuarial team.
- Collaborate with Insurance Product, Underwriting, and Engineering teams to turn insights into business recommendations and production deployments.
What you need
- Hold a bachelor's degree in a quantitative field such as statistics, mathematics, or data science.
- Accumulate at least five years of professional experience in analytics, data science, or actuarial modeling within the insurance sector.
- Demonstrate working knowledge of property and casualty insurance loss cost modeling.
- Apply strong statistical modeling techniques including generalized linear models, regularization, tree-based ensembles, and validation methods.
- Possess knowledge of actuarial principles regarding insurance pricing.
- Demonstrate advanced proficiency in Python libraries and SQL.
- Communicate clearly and build trust with stakeholders across various levels.
Nice to have
- Actuarial credentials such as ACAS or FCAS
- Master's degree in a quantitative discipline
- Experience working in modern data platforms including cloud infrastructure and workflow orchestration tools like Airflow
- Experience with catastrophe modeling, geospatial analytics, or climate risk data
Benefits
- Relocation assistance
- Multiple medical plans and 100% employer-covered dental and vision plans
- 401(k) retirement plan, short and long-term disability, and employer-paid life insurance
- Flexible Spending Accounts and Employee Assistance Program
- Equity compensation
- Flexible Time Off and 12 weeks of parental leave
Skills and tech stack
Questions candidates ask
What is the remote policy for this role?
This position is flexible and hybrid, with required presence in designated hub locations including San Francisco Bay Area, Austin, Texas, Dallas, Texas, or Morristown, New Jersey. Relocation assistance is available for candidates willing to move to one of these hubs.
What is the salary range for this position?
The base pay range is $145,000 to $160,000 for the Texas regions, and $155,000 to $180,000 for the San Francisco Bay Area and New Jersey. Exact compensation depends on factors such as skill set, experience, education, location, and market demands.
What tools and technologies will I use?
You will build and scale Python and SQL-based tooling within an Airflow-based Python modeling pipeline. The stack involves statistical libraries like pandas, scikit-learn, and statsmodels, alongside machine learning algorithms such as XGBoost and LightGBM.
What teams will I collaborate with?
You will partner cross-functionally with Insurance Product, Underwriting, and Engineering teams. This collaboration translates complex modeling insights into clear business recommendations and ensures successful production deployment.
The application is on the official Hippo Insurance careers page.
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