James Lawlor - Lead Data AI Scientist

James Lawlor

Lead Data AI Scientist

Helsinki, Finland

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Summary

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Senior

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Top School

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

10 years of employment as a software developer

Doctor of Philosophy (Ph.D.), Computational & Mathematical Physics, Doctor of Philosophy (Ph.D.), Computational & Mathematical Physics at Trinity College Dublin

M.Phys, Theoretical Physics, M.Phys, Theoretical Physics at Lancaster University

English, Finnish

Stackoverflow

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Github Skills (3)

data-analysis3

reddit3

spotify2

Programming languages (1)

Python

Github contributions (5)

jameslawlor/advent-of-code-python

Dec 2023 - Dec 2025

Over-engineered python solutions to Advent of Code

Contributions:38 PRs, 35 pushes, 47 branches in 1 year 11 months

advent-of-code-2023advent-of-code-2023-pythonaoc-2023aoc-2023-in-pythonaoc-2024

jameslawlor/Dublin-Bikes-Analysis

Aug 2015 - Jun 2016

My data analysis mini-project analysing usage of Dublin Bikes

Contributions:28 commits, 24 pushes, 1 branch in 9 months

data-analysis

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