Difficulty
Average
Candidate-reported interview insights
Air France Data Scientist interviews, decoded.
Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Data Scientist role at Air France.
4.1 rating Airlines, Airports & Air Transportation
Interview overview
Average rounds
3
Average duration
~44 days
Difficulty and candidate experience
Interview difficulty
easy20%
average80%
difficult0%
Candidate experience
positive100%
Candidate-reported interview process
We talked with an intern about my motivations, experience, and academic background. Then, there was a technical test on a case study with two people for about 1 hour. Lastly, I had a chat with the team manager to introduce myself.
Generally good, first you do an online test then a phone call then a personal interview, meet the manager then refusal or acceptance but generally the process is long and it can take 4 to 8 weeks for an internship/work-study.
The interview process involved a fit interview, followed by a manager interview. Then there was a technical test, similar to a Kaggle competition. After that, a 1.5-hour technical interview with data scientists, which included a review of the test, theoretical questions on machine learning, and an algorithms question. Finally, there was an HR interview.
Common Air France Data Scientist interview questions
A focused selection of the most detailed candidate-submitted questions.
- 1
Pourriez vous présenter votre parcours et vos ambitions
- 2
Quelles sont vos motivations pour le poste ?
- 3
Can you tell me about your past experiences?
- 4
Expliquer l'algorithme de gradient boosting
Interview question formats
Behavioral41.7%
Technical33.3%
Coding8.3%
Case8.3%
Presentation8.3%
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Interview information is based on candidate reports and may not represent the current official hiring process of Air France.