Data Scientist, Insurance Risk and Pricing
RemotePersonal Property HomeownersPricing & RatingPredictive Modelling & MLUW Support & Portfolio Management
Role Summary
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Remote senior data scientist role focused on homeowners (P&C) pricing and risk at an insurtech platform. You will build and deploy predictive models to improve risk understanding, pricing, retention, and integrate solutions with product and engineering. The role requires strong Python/R/SQL skills and cloud data platform experience, and is US-remote (with some state exclusions).
JOB DESCRIPTION SUMMARY
- Build and deploy predictive models for pricing, retention, and risk quantification
- Work with product, engineering, and business teams to operationalize models
- Use Python, R and SQL in cloud platforms like Snowflake/BigQuery/AWS/GCP
- Remote (US) role with some state-specific exclusions
- Requires 5+ years of data science experience
DOMAIN EXPERTISE
- data science (5+ years)
- model development and deployment in production/high-traffic environments
- python, R and strong SQL
- cloud data platforms (Snowflake, BigQuery, AWS, GCP)
KEY REQUIREMENTS
- At least 5 years of experience in data science
- Proficiency in Python and R, and strong SQL skills
- Experience building and deploying models in high-traffic production
- Experience with cloud data platforms (Snowflake, BigQuery, AWS, GCP)
- Strong communication skills to translate complex data into business insight
TECH STACK
- Snowflake
- BigQuery
- AWS
- GCP
