Kantar AI Research Scientist Interview Guide

The hardest part of my Kantar interview was actually how broad it felt rather than how difficult it was. The process started with the application and first contact with the recruiter, then a call with the recruiter, followed by an online meeting with the managers. After that I went through a psychometric evaluation, a skills evaluation in the form of a case study, and finally a case presentation plus another meeting with the managers. The interviewers were generally nice and seemed to try to put candidates at ease, which helped because the questions themselves were pretty straightforward. A lot of it was CV-based and behavioral, with some discussion of my research and analytical skill set. One of the questions I remember clearly was in French: “Quels sont vos axes d’amélioration?” They also asked me to introduce myself in English, which set the tone for the rest of the conversation. Overall, it felt more like they were checking fit, communication, and how I think through situations than testing anything deeply technical. The case study and presentation were the most structured parts, but even those were manageable if you can explain your reasoning clearly. I didn’t feel much time pressure, and the interview lasted about an hour in the panel-style round with three candidates and four interviewers. In the end I didn’t get the offer, but the process was smooth and easy to follow. My main takeaway is to prepare a concise self-introduction in English, be ready for situational behavioral questions, and have a clear way to talk about your research strengths, weaknesses, and approach to case work.