Andrew Maclachlan is a Senior Data Scientist with 7 years of experience applying rigorous scientific methods and machine learning to mobile gaming and transport products, currently driving data-led decisions at Trainline. He holds a PhD in Physics from Imperial College London and combines deep experimental design skills with practical expertise in A/B testing, simulation and data storytelling to optimise player and user experiences. His background in chemistry and materials research gives him a strong foundation in modelling complex systems and translating noisy signals into actionable insight. Comfortable moving between academia and industry, he has scaled analytics in fast-moving commercial environments from M&C Saatchi to NaturalMotion and now Trainline. An avid cyclist and Landsat enthusiast, he brings an interest in spatial data thinking and reproducible analysis to product analytics challenges.
6 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Imperial College London
Maths Physics Chemistry & History, Maths Physics Chemistry & History at Cowbridge Comprehensive
Contributions:27 commits, 9 pushes, 1 branch in 9 months
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