Samuel Thomas

Samuel Thomas is a seasoned professional with extensive experience in data science and relationship management. Currently serving as the Machine Learning Engineering Lead - Data Science at Three UK since November 2022, Samuel has honed expertise in scheduling and workforce optimization, time series forecasting, and geospatial analysis. Prior experience includes roles as a Data Scientist at Royal Mail, where contributions led to efficiency savings of approximately £9 million annually, and various positions at RBS, including Assistant Relationship Manager and Portfolio Manager, managing a diverse client portfolio and coordinating financial solutions. Samuel holds a Master of Science in Data Science and Machine Learning from Queen Mary University of London and a Master's degree in Physics from the University of Nottingham.