Ronan Laker is a Senior Data Scientist with nine years of experience distilling actionable solutions from complex, real-world problems across transport and research domains. He combines strong statistical and Bayesian modelling expertise with practical machine learning and time-series skills, having produced production LightGBM classifiers and PySpark ETL pipelines that drove measurable business improvements. At Trainline he scaled a product rollout strategy by 100x via linear programming surfaced as a stakeholder-facing web app, and his causal marketing analyses influenced strategic decisions at the executive level. His academic background — a PhD in Physics from Imperial College London with multiple peer-reviewed papers and invited talks — underpins a rigorous experimental approach and comfort working in interdisciplinary teams. Colleagues benefit from his ability to translate advanced models into understandable tools and dashboards that non-technical stakeholders can self-serve and act upon.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Imperial College London
Contributions:11 PRs, 337 pushes, 17 branches in 5 years 5 months
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