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Tech Stack
Tools & technologiesAzurePythonSQL
About the role
Key responsibilities & impact- Design and run experiments that directly shape production AI agents — testing ideas, validating approaches, and turning research into deployed improvements.
- Actively explore cutting-edge developments in AI and machine learning — with the space and support to experiment, prototype, and bring new techniques into production where they add value.
- Evaluate and refine LLM-powered workflows — building robust evaluation frameworks, stress-testing agent behaviour, and driving continuous quality improvements in live systems.
- Explore complex, real-world datasets to uncover insights that meaningfully improve underwriting decisions and system performance at scale.
- Prototype and iterate on features for AI/ML pipelines, taking ideas from early exploration through to measurable impact in production services.
- Investigate how agentic systems behave in production — identifying edge cases, failure modes, and opportunities to make systems more robust and reliable.
- Collaborate closely with ML/AI engineers to bridge research and production — contributing code, debugging issues, and helping ship improvements end-to-end.
- Document experiments, findings, and methodologies clearly so that insights are reproducible and decisions are traceable.
Requirements
What you’ll need- combine a strong grounding in statistics with hands‑on technical capability in Python and SQL
- take pride in producing clear, reliable analysis
- are thoughtful and detail‑driven, able to communicate effectively with a wide range of stakeholders, and comfortable learning from others while growing your own ownership
- bring curiosity, ask the right questions and look beneath the surface
- have experience with Azure, MLflow, or LLM tooling is a bonus, but not expected—we value mindset and approach just as highly as experience.
Benefits
Comp & perks- Love what you do: We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
- Challenge everything: We’re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
- Have fun, be good: Insurance is a serious business, but we don’t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Statistical AnalysisPython ProgrammingSQL ProficiencyAI/ML ExperimentationData EvaluationFeature PrototypingRobust Evaluation FrameworksAgent Behavior AnalysisContinuous Quality ImprovementData Insights Extraction
Soft Skills
Effective CommunicationDetail-DrivenCuriosityOwnershipThoughtfulness