Summary
Christopher Campbell is an Analytics Lead with a decade of experience applying statistical rigor and product-focused data science to improve customer and colleague outcomes at Auto Trader UK. He combines a PhD-trained quantitative background with hands-on analytics delivery, evolving from scientific research and pharmaceutical formulation into product analytics and data product leadership. At Auto Trader he helps Product & Tech teams turn data into service improvements for car sellers and buyers, drawing on prior experience mentoring teams and delivering statistical solutions across industries. His career includes leading and scaling analytics teams at Mango Solutions, where he both managed projects and developed reproducible R-based tooling for regulated and commercial settings. Christopher is comfortable translating complex experiments and modelling into actionable insights and governance, a skill rooted in his early microscopy and nanoparticle research. He brings a pragmatic blend of scientific curiosity, engineering discipline, and people leadership to data product challenges.
10 years of coding experience
7 years of employment as a software developer
BSc, Biochemistry, BSc, Biochemistry at Imperial College London
PhD, Chemical Engineering, PhD, Chemical Engineering at University of Bath