AI Engineer, Data Science
Applied Underwriters
About the Role
- United Risk is a global property and casualty insurance underwriting and distribution platform.
- Our AI team builds tools to make underwriters quicker and smarter, focusing on submission ingestion, underwriting workbenches, risk analysis, and automation.
- The goal is to deliver tailored solutions to improve efficiency while maintaining standards for security and compliance.
- You will be one of a small group of AI Engineers, working directly with underwriters and operations staff.
- You will adapt existing products to their needs and build new ones.
- This role leans toward data science, turning submission, policy, and loss data into actionable insights for underwriters.
- The team also builds applications and works on infrastructure.
- Your work will be reviewed and you will be taught by three senior AI engineers.
Key Responsibilities
- Adapt existing products to meet the needs of underwriters and operations staff.
- Build new products where existing solutions do not fit.
- Turn submission, policy, and loss data into insights underwriters can act on.
- Build applications.
- Work on infrastructure.
Requirements & Tech Stack
- Strong Python and SQL.
- Comfort with messy real-world data.
- A grounding in statistics.
- Curiosity about how the business runs and patience to learn insurance.
- Clear communication with non-technical colleagues.
Qualifications
- A bachelor's degree in computer science, data science, statistics, mathematics, engineering, or a related field.
- 0–4 years of experience, including internships and co-ops.
- Demonstrated work you built yourself and can show, including one or more of:
- A structured-extraction or document-processing project.
- A RAG or document Q&A system.
- An evaluation or testing setup for model or LLM output.
- A data analysis or modeling project on a real dataset.