Lead Insurance Data Scientist - Relocation & Equity

Hippo Insurance; San Jose (CA); Hybrid; USD 145,000 - 180,000; Full time

Benefits offered by this job

Relocation assistance

Health benefits

Equity compensation

Training and career growth

Flexible time off

Parental leave (12 weeks)

Job summary

Hippo Insurance is seeking an Insurance Data Scientist to lead loss cost modeling for the Homeowners program. You will design, develop, and deploy predictive models for frequency and severity, embedding loss ratio analytics into production workflows.

You will expand capabilities across demand and aggregation, partnering with Product, Underwriting, and Engineering to drive pricing and business mix decisions.

Qualifications

• Bachelor’s degree or higher in a quantitative field.
• 5+ years in data science/actuarial modeling in insurance.
• Knowledge of P&C loss cost modeling; exposure to demand/underwriting/claims.
• Strong statistical modeling background and model validation techniques.
• Advanced Python (pandas, scikit-learn, statsmodels) and SQL.
• Excellent communication and stakeholder management.

Responsibilities

• Lead homeowners insurance modeling efforts with clear priorities and standards.
• Own the design and annual build of by-peril loss models.
• Expand modeling to inform pricing strategy and portfolio performance.
• Implement and scale models in an Airflow-based Python pipeline with tests and reproducibility.
• Develop reusable analytical tooling across the actuarial team.
• Collaborate with product, underwriting, and engineering to translate insights into actions.

Skills

Python

SQL

GLMs

XGBoost

LightGBM

Pricing knowledge

Communication

Education

Bachelor's degree in statistics, mathematics, actuarial science, computer science or quantitative field

Tools

Airflow

Snowflake

Databricks

AWS

Job description

Hippo Insurance is seeking an Insurance Data Scientist to lead loss cost modeling for the Homeowners program. You will design, develop, and deploy predictive models for frequency and severity, embedding loss ratio analytics into production workflows.

You will expand capabilities across demand and aggregation, partnering with Product, Underwriting, and Engineering to drive pricing and business mix decisions.