Matt Crooks is a Principal Data Scientist with a PhD in Applied Mathematics and over eight years of experience turning advanced mathematical and machine learning research into production-ready solutions across the BBC, Typeform and the European Commission. He blends academic rigor—multiple published papers and award-winning conference talks—with hands-on delivery of personalised recommendation systems, adaptive Bayesian algorithms, and ML-driven SaaS products. A proven team leader and top-ranked mentor, he excels at building cross-disciplinary workstreams that move prototypes into production while managing senior stakeholder relationships. Unusually for someone at his level, he combines deep climate and physics-based modelling experience (integrating algorithms into Met Office workflows) with product-focused A/B experimentation and data visualisation expertise. Based in Stevenage, he also fosters community learning through prolific blogging and mentoring on topics from experimentation culture to machine learning best practices.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at The University of Manchester
Test version of the Bitesize EL algorithm for use in Data Science development
Contributions:32 PRs, 58 pushes, 61 branches in 6 months
pythonsciencemachine-learningdata-science
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