Very long interview process for an intern posiiton. Total time spent: +30H -1st step: resume, cover letter, and an application form with a few questions. -2nd step: 1-hour remote technical interview with a Data Scientist (ML questions, coding skills, sorting methods, algorithm complexity calculation). -3rd step: a data science open exercise (feature prediction). They ask you not to spend too much time, but I spent more than 15 hours working on it. -4th and 5th steps: two on-site (Paris) technical interviews. The first one was a regular coding test (1h), and the other one consisted in ML and DL questions, about algorithms and the mathematics behind them (1h15). -6th step: a 1-hour call with the Data Science director and a Data Scientist. I was asked behavioral questions, and then had a ML coding test, completing a Jupyter notebook while sharing my screen. -7th step: I had to optimize my code from step 6, and implement it in the exercise from step 3. It took me quite some time (almost 10h total) Two days after the last step, after 4 interviews, many technical tests and two problems to solve, I received a call to tell me I was not selected for the position.