Oliver Chipperfield is a Senior Data Scientist and team lead with 11 years’ experience building production ML systems and data pipelines across web, energy, logistics and financial services. He combines deep statistical expertise—Bayesian methods and experimental design—with hands-on engineering in Python, Spark, R, SQL and Excel/VBA to deploy and maintain models for credit loss forecasting and fraud detection. At M-KOPA he leads a multi-functional product team owning critical flows, and previously scaled experimentation platforms and logging at Skyscanner and Deliveroo. His background in energy analytics and smart-meter big data gives him a practical edge in forecasting and operational analytics that many ML specialists lack. He holds an MSc in Statistics (Distinction) and a track record of turning complex statistical methodology into reliable, production-grade solutions.
11 years of coding experience
7 years of employment as a software developer
South Devon College
Master of Science (MSc), Entomology, Merit, Master of Science (MSc), Entomology, Merit at Imperial College London
Graduate Certificate, Statistics, Distinction, Graduate Certificate, Statistics, Distinction at Birkbeck, University of London
Master of Science (MSc), Statistics, Distinction, Master of Science (MSc), Statistics, Distinction at University of Glasgow
Class method for Bayesian estimation and comparison of proportions
Contributions:87 commits, 32 PRs, 66 pushes in 6 months
statisticscomparisonmethodclass-methodestimation
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Oliver Chipperfield - Senior Data Scientist - Team Lead