Actuarial Data Scientist — AI-Driven Insurance Pricing

Soteris; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Soteris, a YC-backed AI company focused on pricing and product management for the insurance industry, seeks an Actuarial Data Scientist. You will develop and validate predictive models, including loss-cost and risk models, using Python, SQL, and modern ML tools.

You’ll work with Databricks, SageMaker, and ML tooling to productionize models, explain results to stakeholders, and drive improvements that affect insurers’ bottom lines. This is a builder role in a fast-growing team.

Qualifications

• 5+ years of experience developing and validating predictive models in insurance, pricing, or data-heavy domains.
• Strong Python and SQL skills with ability to investigate data and produce reproducible analysis.
• Solid understanding of statistical learning concepts: cross-validation, regularization, calibration, explainability.
• Experience designing leakage-resistant validation strategies with temporal holdouts.
• Ability to diagnose model performance issues and recommend defensible next steps.
• Familiarity with core P&C concepts like loss development and rate leveling.
• Excellent communication to explain tradeoffs to actuaries, engineers, and executives.
• Comfort working in an early-stage company with ownership and ambiguity.

Responsibilities

• Own development, evaluation, and iteration of policy-level pricing and risk models.
• Design cross-validation, calibration, and threshold strategies for model selection.
• Build forward-looking underwriting strategies using decision-date observations.
• Productionize validated models in collaboration with engineering and validate APIs and artifacts.
• Lead modeling workstreams for customer implementations and document reproducible patterns.

Skills

Python

SQL

Statistical learning

Model validation

Cross-validation

Explainability

Communication

Ownership

Education

Actuarial credential (ACAS/FCAS) preferred

Tools

PySpark

LightGBM

MLflow

SageMaker

AWS

Model orchestration tooling

Job description

Soteris, a YC-backed AI company focused on pricing and product management for the insurance industry, seeks an Actuarial Data Scientist. You will develop and validate predictive models, including loss-cost and risk models, using Python, SQL, and modern ML tools.

You’ll work with Databricks, SageMaker, and ML tooling to productionize models, explain results to stakeholders, and drive improvements that affect insurers’ bottom lines. This is a builder role in a fast-growing team.