Associate Data Scientist

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.