Summary
Vincent Margot is a Data Intelligence Manager with nine years of hands-on experience building end-to-end AI and machine learning pipelines for industrial and financial use cases. He has progressed from statistician and quantitative analyst roles to leading data science teams, specializing in predictive maintenance, investment recommendations, and production monitoring of ML solutions. Vincent pairs deep academic training—a doctorate in mathematics and statistics and advanced risk degrees—with practical expertise in model interpretability and regulatory risk modeling. At Advestis he moved research into production, and now at SEENOVATE he drives data strategy and operational AI delivery. He also has teaching experience in applied statistics and a background in military reserve leadership, which informs his disciplined approach to project execution and team supervision. Based in Bron, France, he blends rigorous analytical foundations with a track record of turning complex data problems into reliable, auditable systems.
9 years of coding experience
9 years of employment as a software developer
Doctorat, Mathématiques et statistiques, Doctorat, Mathématiques et statistiques at Sorbonne Université
Licence, Mathématiques Générales, Licence, Mathématiques Générales at Institut catholique d'études supérieures
Maitrise, Mathématiques Générales, Maitrise, Mathématiques Générales at Université Claude Bernard Lyon 1
Master 1 Professionel, Ingénierie des Risques, Mention Bien, Master 1 Professionel, Ingénierie des Risques, Mention Bien at Institut de Science Financière et d'Assurances (I.S.F.A)