Simon Lefebvre

Simon Lefebvre is a seasoned data science professional with extensive experience in enhancing AI projects and developing innovative solutions. Currently serving as Lead Data Scientist at Kering since September 2020, Simon has focused on improving the technical quality of AI Factory projects and creating a Bayesian forecasting system that significantly reduced prediction errors in the luxury industry. Prior to this role, Simon worked as a Senior Data Scientist at AntVoice from July 2012 to September 2020, where revenue-optimized models and diverse recommendation algorithms were developed. Earlier experience includes a position as a Statistical Engineer at ENGIE, where Simon conducted applied research in statistics and forecasted energy demand, along with analyzing financial risks related to climate events. Simon holds a Master of Engineering in Mathematics and Statistics from ENSAI and completed preparatory classes in Mathematics and Physical Sciences at Lycée Henri Wallon.