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Insurance isn't the first industry most people think of when they imagine interesting data science work. That's exactly why this role is interesting. CFC's Data & AI unit is building production agentic systems that automate complex underwriting decisions - not demos, not proof-of-concepts sitting on a shelf, but AI agents and Machine Learning (ML) pipelines that drive real business outcomes. The team includes machine learning engineers and software engineers shipping production services, and this role sits alongside them as an analytical counterpart: running experiments, stress-testing assumptions, and generating the evidence that shapes what gets built and how it improves 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 ML and AI engineers, contributing to discovery work that feeds directly into live services - statistical analysis, feature engineering, LLM evaluation, and 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.