Insurance isn’t the first industry most data scientists think of when they imagine cutting-edge Artificial Intelligence (AI) work, but the incredibly rich data and nature of the business make it a great place to put AI to use.

CFC's Data & AI team is building production agentic systems that automate complex underwriting decisions — not demos, not proofs of concept sitting on a shelf, but Artificial Intelligence (AI) agents and machine learning (ML) pipelines that drive real business outcomes. This role will sit alongside senior data scientists, machine learning engineers, and software engineers, as an analytical counterpart: running experiments, stress-testing assumptions, and generating the evidence that shapes what gets built and how to improve it over time.

This is an Associate Data Scientist role designed for someone early in their career who wants genuine exposure to production AI systems from day one. You'll work closely with, and have the opportunity to learn from, team members while contributing analysis and experimentation work that feeds into live services — such as statistical analysis and LLM evaluation. This will require the kind of careful, evidence-based thinking that makes the difference between an AI system that works in a notebook and one that holds up under real conditions.
The problems are genuinely hard. The data is complex, the decisions are high-stakes, and the domain has the kind of depth that keeps the work interesting. If you want to grow quickly in applied AI and ML — working on real systems, not toy datasets — this is the right environment.