Santiago Paz is a Lead Data Scientist based in London with 11 years of experience applying statistical and machine learning techniques across finance and civil engineering. He combines a rigorous academic foundation—MSc in Data Science from the Barcelona Graduate School of Economics and a Johns Hopkins specialization—with hands-on leadership delivering production analytics at ICE and Mott MacDonald. His work spans end-to-end ML, mathematical methods, and data visualization, with a track record of moving research-grade models into operational spatial intelligence and infrastructure projects. Known for bridging domain expertise and technical rigor, he brings international perspective and a pragmatic approach to translating complex datasets into decision-ready insights.
10 years of coding experience
9 years of employment as a software developer
Johns Hopkins University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Barcelona School of Economics
Honours Bachelor of Science (BS), Physics and Astronomy, Honours Bachelor of Science (BS), Physics and Astronomy at York University
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