Matteo Zola is a Principal Data Scientist based in Dublin with 11 years of experience applying machine learning to finance and engineering problems, now leading data science work at Optum after a multi-year stint at Deutsche Bank. He holds a PhD in Computer Science and combines rigorous academic training with hands-on production modeling to build actionable models and extract meaningful insights from complex datasets. Matteo’s background spans research fellowships, consultancy and early software and security roles, giving him a rare mix of theoretical depth and practical systems experience. He is particularly skilled at translating quantitative research into deployable solutions for regulated, high-stakes environments. Despite a strong finance focus, his career shows a consistent thread of infrastructure and security awareness that informs robust model deployment.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Università degli Studi di Torino
Scientific Degree Computer Science, Scientific Degree Computer Science at Università degli Studi del Piemonte Orientale
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