Andrew Scarff
Lead Data Scientist
Sheffield, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAndrew Scarff is a Lead Data Scientist with nine years of experience translating physics-grade quantitative reasoning into production ML solutions, currently building core models at TUBR. He moved from a research career in particle and neutrino physics—culminating in a PhD and multiple postdoctoral roles—to applied data science, bringing expertise in complex probabilistic modelling and experimental design. Andrew sharpened practical ML skills in an intensive S2DS program, developing reinforcement learning pipelines and Deep Q-Networks for mRNA design deployed on cloud VMs. He combines rigorous scientific experiment workflows, agile team collaboration, and version-controlled code handoffs to industry partners, making him adept at turning research prototypes into usable codebases. Based in Sheffield, he’s comfortable bridging academic rigour and startup velocity, with a background that uniquely equips him to tackle high-dimensional, physics-informed data problems.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Particle Physics, Doctor of Philosophy (Ph.D.), Particle Physics at The University of SheffieldA Levels, Physics, Maths, Geography, A Levels, Physics, Maths, Geography at City of Norwich School
English, German
Github Skills (14)
static-analyzer8
system-integration7
redmine7
static-analysis7
metadata6
argon4
continuous-integration4
laravel4
ignite3
python3
liquid3
scikit-learn1
scipy1
numpy1
Programming languages (4)
Github contributions (5)
ascarff1/thesis
Oct 2016 - May 2020
Contributions:1 push, 1 branch in 3 years 7 months
ascarff/lappd
Jan 2022 - Sep 2022
Contributions:8 pushes in 7 months
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