First round is a coding interview. It was 4 questions with a mix of fairly easy to medium data science questions and one general programming question. The following/last round was less technical, while there were no explicit coding or reasoning problems, but I did have to explain my background and fit with technical depth.
J'ai passé un entretien chez Faculty.ai (Londres, Angleterre)
Entretien
I was asked to talk about my research and about a data science or machine learning project I had worked on. I was also asked what my strengths were, and what skills I had gained from my PhD.
Questions d'entretien [1]
Question 1
Tell us about a project you have worked on, and some things you have learned from it.
J'ai postulé en ligne. J'ai passé un entretien chez Faculty.ai (Londres, Angleterre)
Entretien
Applied for the fellowship online. Consisted of an online coding test in Python. Those who pass with 100% continue to interview round. Interview is ~25 min and felt very much like I was one of 100 interviews. No difficult questions but you get presumably judged against a lot of people. So being able to concisely answer some technical questions about what you have done is good.
Questions d'entretien [1]
Question 1
What did you do during your PhD? What ML did you use? Can you explain how that works?