Summary
Jamie-leigh Chapman is a Senior Data Scientist with eight years’ experience applying statistical rigour to time series forecasting and changepoint detection across retail, healthcare and government settings. With a PhD in Statistics and Operational Research from Lancaster University, she has moved models from research into production—improving forecasting at Tesco, leading data science at Howz, and now driving analytics at The Very Group. Her background spans academic collaboration with the ONS, consulting on European economic indicators, and hands-on NHS analytics, giving her a rare blend of theoretical depth and domain-savvy applied work. Known for integrating changepoint methodology into operational forecasts, she combines strong probabilistic modelling with a pragmatic focus on actionable insights. Based in Northwich, UK, she pairs rigorous mathematics with a track record of translating complex time series problems into reliable business outcomes.
8 years of coding experience
5 years of employment as a software developer
Master’s Degree, Mathematics, First, Master’s Degree, Mathematics, First at University of York
Doctor of Philosophy (Ph.D.), Statistics and Operational Research, Doctor of Philosophy (Ph.D.), Statistics and Operational Research at Lancaster University
English, Russian