Actuarial Data Scientist: Loss Modeling & Pricing Lead

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

Benefits offered by this job

Relocation Assistance

Equity

Training and Career Growth

Flexible Time Off

Hippo Habitat

Job summary

Hippo is hiring an Actuarial Data Scientist to lead loss cost modeling for our Homeowners program. You will own design, development, and deployment of predictive models for frequency and severity, aligning with pricing strategy and business goals.

Build Python-SQL tooling that embeds loss ratios into production workflows and scale capabilities across demand and aggregation models. You will guide the team, work with product, underwriting and engineering, and evangelize rigorous modeling with

Qualifications

• 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.
• 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

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

Skills

Python

SQL

GLMs

Tree-based ensembles

Model validation

P&C knowledge

Education

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

Advanced degree a plus

Tools

Python (pandas, scikit-learn, statsmodels)

SQL

Job description

Hippo is hiring an Actuarial Data Scientist to lead loss cost modeling for our Homeowners program. You will own design, development, and deployment of predictive models for frequency and severity, aligning with pricing strategy and business goals.

Build Python-SQL tooling that embeds loss ratios into production workflows and scale capabilities across demand and aggregation models. You will guide the team, work with product, underwriting and engineering, and evangelize rigorous modeling with