James Lawlor is a Senior Data Scientist with 11 years of experience building production ML models and data pipelines, currently shaping advertiser-facing optimisation at Unity Ads in Helsinki. He leads the team’s model development track and focuses on individual-level post-install prediction for the Audience Pinpointer product, enabling dynamic ROAS and retention bidding with technologies like Python, TensorFlow, PySpark, KubeFlow, Airflow and BigQuery. His background includes large-scale CLV modelling at Booking.com and applied ML across utilities at ESB, grounded in a PhD in computational and mathematical physics where he published extensively. Comfortable bridging research and production, he brings a blend of theoretical rigor and pragmatic deployment experience that helps turn complex user-behaviour signals into actionable bidding strategies.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational & Mathematical Physics, Viva voce examination passed with no corrections, Doctor of Philosophy (Ph.D.), Computational & Mathematical Physics, Viva voce examination passed with no corrections at Trinity College, Dublin
M.Phys, Theoretical Physics, 1st Class Honours, M.Phys, Theoretical Physics, 1st Class Honours at Lancaster University
Contributions:104 commits, 58 PRs, 84 pushes in 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.