Joshua Hayes is a Senior Data Scientist with eight years’ experience translating astrophysics rigor into practical Bayesian models for industry, currently building probabilistic systems at AutoTrader. Previously he led climate-footprint modelling at NatWest Group to support Paris Agreement-aligned pathways, blending domain-savvy analytics with policy-relevant impact. A PhD astronomer and former university demonstrator, he brings deep statistical foundations, strong Python tooling, and a knack for communicating complex methods to non-experts. Outside work he has a proven track record in science outreach and volunteer leadership, having trained hundreds of volunteers and run large public events—skills that sharpen his stakeholder engagement and teaching-oriented approach.
8 years of coding experience
6 years of employment as a software developer
A Levels: Physics (A*) Maths (A*) Music (A), A Levels: Physics (A*) Maths (A*) Music (A) at Wilson's School
Doctor of Philosophy - PhD Astronomy and Astrophysics, Doctor of Philosophy - PhD Astronomy and Astrophysics at The University of Manchester
Matplotlib guide aimed at 2nd year Physics undergraduates at the University of Manchester
Contributions:16 commits, 1 PR, 10 pushes in 3 months
physicspython2nd-yearuniversity-of-manchesterpls
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