Ryan Jenkinson is a Senior Data Scientist with 8 years of experience applying ML, optimisation and data engineering to decarbonise energy systems, currently deploying model-driven control for the world’s largest virtual power plant. He combines deep technical training (MSc UCL, BA Cambridge) with hands-on product delivery—building optimisation stacks that automate domestic solar, batteries, heating and EVs to provide grid services and consumer rewards. Previously he led data teams on the Optimise Prime commercial EV programme and scaled research-to-policy impact at Centre for Net Zero, blending research publication, stakeholder engagement and platform delivery. Known for turning complex grid and behavioural problems into production-grade algorithms, he also has a practical software bent—“writing code to cut carbon”—and a track record of proving world-first use cases that make household assets visible to system operators.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA Mathematics, Bachelor of Arts - BA Mathematics at University of Cambridge
Contributions:2 reviews, 41 PRs, 53 pushes in 2 years 11 months
eco
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