See risk clearly with AI-powered accuracy: Insights property insurers trust for better underwriting & smarter pricing
San Francisco, California
ZestyAI is the leading risk platform trusted by Property and Casualty insurers and regulators across the United States. Combining advanced AI models with robust data sources, ZestyAI delivers property-level risk insights for perils such as wildfires, severe convective storms, and non-weather-related hazards. These insights, validated by climate science and historical loss data, support smarter underwriting, more precise rating, and stronger reinsurance outcomes. The company also offers competitive and regulatory intelligence by extracting actionable insights from thousands of insurance filings, enabling carriers to accelerate compliance, monitor market shifts, and make faster, more informed decisions. ZestyAI fosters a healthier insurance market for all by helping carriers align premiums with true risk, increase accessibility and prioritize mitigation to make insurance more affordable.
Remote · Canada
Apply data science to complex product and business problems by evaluating performance and generating actionable insights. Establish analytical processes, monitoring frameworks, and automated ETL workflows to maintain product quality.
Remote · Toronto, Ontario, Canada
The role involves training, deploying, and optimizing state-of-the-art deep learning models to extract insights from aerial and geospatial imagery. Additionally, the candidate will lead dataset development and mentor junior members of the Data Science and Machine Learning team.