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Associate Data Scientist Department: Data & AI Employment Type: Permanent - Full Time Location: UK – London Reports To: Takashi Nakamura
A Fresh Perspective on an Unusual Challenge
Insurance isn’t the first industry most people think of when they imagine interesting data science work. That’s exactly why this role is thrilling.
CFC’s Data & AI unit is building production agentic systems that automate complex underwriting decisions—not demos, not shelfware, but AI agents and machine learning pipelines that drive real business impact. The team includes ML engineers and software engineers shipping production-grade services, and as an Associate Data Scientist, you’ll work alongside them as the analytical counterpart: running experiments, testing hypotheses, and generating evidence that shapes what gets built and how it evolves.
This is an entry-level data science role tailored for someone eager to explore production AI systems from day one. Expect hands-on collaboration with engineers, contributing to real-world discovery work: statistical analysis, feature engineering, LLM evaluation, and the critical evidence-based thinking that separates AI that retreats into notebooks from AI that thrives in the wild.
The challenges are ripped from the headlines. Messy, complex, high-stakes data with layers of underwriting nuance—problems that stay engaging. If you’re itching to grow fast in applied AI and ML—working on real-world systems, not toy datasets—this is your playground.
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About the Role
- Design and execute experiments that transform production AI agents—validating approaches and translating research into tangible improvements
- Keep pace with cutting-edge AI/ML developments, with courageous freedom to prototype and shipping value
- Evaluate and refine LLM-powered workflows, building robust frameworks to stress-test agent behaviour and improve real-time reliability
- Dig into complex, real-world datasets, uncovering game-changing insights that optimise underwriting decisions at scale
- Prototype and iterate AI/ML pipeline features, taking analytical ideas through to deployed impact
- Investigate how agentic systems behave in production, proactively addressing edge cases and failure points
- Partner closely with ML/AI engineers, bridging research with production—contributing code, debugging, and shipping high-impact systems end-to-end
- Document experiments and methodologies in a clear, reproducible and decision-traceable way
About You
We’re hunting for a Junior Data Scientist with a hunger for impactful analysis. In this hybrid role, you’ll span the entire lifecycle—exploring data, iterating on models, and influentially shaping how our business applies your insights.
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As an investigator of emerging technologies (think: LLMs), you’ll scrutinise their performance and practical value, balancing innovation with responsibility.
You’ll thrive if you:
- Blend strong statistical grounding with practical technical skills (Python and SQL)
- Take pride in rigorous, reliable analysis—presenting findings that matter—not just models
- Are thoughtful and detail-obsessed, trusted to interpret nuance across diverse stakeholders
- Kiss curiosity goodnight: you ask sharp questions, question assumptions, and thrive at the intersection of learning and owning
- Bonus (but not mandated): Tinker with Azure, MLflow, or LLM tooling—insight, rigor, and mindset matter most
Core Values
Love what you do: Our hunger for solutions transforms us—not just for colleagues, but for customers, brokers, and carriers.
Challenge everything: Anfteed questioning our own processes shapes how we build, learn, and execute.
Have fun, be good: Insurance is serious, but our culture elevates it—welcoming all perspectives with an energy-first attitude. Treat others (and yourself!) with humanity, and the result? Fun redefined.
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