Teams at Prolific

Design and prototype applied ML methods to improve human data quality, judgement aggregation, and AI evaluation. Build experiments, benchmarks, and reliability tests; apply classical ML, statistics, LLMs, and agentic techniques. Rapidly prototype with Python, partner with product and engineering to translate methods into scalable platform capabilities, and communicate technical trade-offs to stakeholders.

Lead the Supply Data Science team to define strategy, optimize marketplace participant supply, and collaborate across departments to enhance efficiency and participant experience.

Interim lead for Growth Data Science & Analytics managing a team of three. Own analytics roadmap, BI reporting, and ExCo-facing insights on marketplace health and revenue. Prioritise delivery, stakeholder management, and translating complex analysis into clear executive narratives to inform growth investments.