Our guest today is Marianne Ducournau, Head of Data Science at Qonto and ex Data Scientist at Amazon and Uber.

In our conversation, we first discuss Marianne's first job in Data Science working in the public sector and managing a 10-15 people team. Marianne then talks about her experience at Uber and shares various projects that she worked on. We dive into price elasticity modelling and financial forecasting where her team built thousands of model to forecast financial metrics in multiple cities.  Marianne finally explains her current role as the Head of Data Science at Qonto and gives advice on how to progress in Big Techs and in your career.

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Link to Train in Data courses (use the code AISTORIES to get a 10% discount): https://www.trainindata.com/courses?affcode=1218302_5n7kraba

Follow Marianne on LinkedIn: https://www.linkedin.com/in/mborzic/

Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/  

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(00:00) - Introduction
(02:12) - Marianne's Journey Into Data Science
(05:05) - Managing A 10-15 People Team In Her First Job
(10:02) - Pros And Cons Of Working In The Public Sector
(16:51) - Transition From The Public Sector To Uber
(22:25) - Price Elasticity Modelling
(35:42) - Building 1000+ Models For Financial Forecasting
(42:10) - Progressing In Big Techs
(45:01) - What Is Qonto And Marianne's Role There?
(48:08) - Understanding Qonto's Product
(49:29) - Building A Team As Head Of Data Science
(54:37) - Impact Estimation
(01:02:52) - Marianne's Advice For Career Progression