Duncan Hay is a Director of Data Science with a decade of hands-on experience building scalable data science products across energy, earth observation, satellite communications and on-board satellite systems, underpinned by a 15-year geoscience and geospatial background and a PhD from the University of Glasgow. He has led cross-functional teams and products from concept to award-nominated delivery—most recently advancing Toumetis’ data science strategy after progressing from Principal Data Scientist—and previously helped develop FairwayFinder at Halliburton which won industry recognition. Comfortable in both research and product engineering contexts, he blends cloud-hosted GIS, 3D earth modelling and machine learning to turn multidisciplinary geoscience data into operational tools. Colleagues rely on him for pragmatic technical leadership, agile delivery, and for translating complex subsurface problems into automated, production-ready analytics.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Geological and Earth Sciences/Geosciences, Pass, Doctor of Philosophy - PhD, Geological and Earth Sciences/Geosciences, Pass at University of Glasgow
Contributions:277 commits, 300 pushes, 30 branches in 6 years 1 month
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