Aller au contenuAller au pied de page
  • Emplois
  • Entreprises
  • Salaires
  • Pour les employeurs

      Boostez votre carrière

      Découvrez votre salaire potentiel, décrochez des emplois de rêve et partagez vos témoignages de manière anonyme.

      employer cover photo
      employer logo
      employer logo

      Faculty.ai

      Employeur impliqué

      À propos
      Avis
      Salaires et avantages
      Emplois
      Entretiens
      Entretiens
      Recherches associées: Avis sur Faculty.ai | Offres d’emploi chez Faculty.ai | Salaires chez Faculty.ai | Avantages sociaux chez Faculty.ai
      Entretiens chez Faculty.aiEntretiens d’embauche pour Data Scientist chez Faculty.aiEntretien chez Faculty.ai


      Glassdoor

      • À propos
      • Récompenses
      • Blog
      • Nous contacter
      • Guides

      Employeurs

      • Compte employeur gratuit
      • Centre employeur
      • Blog pour les employeurs

      Informations

      • Aide
      • Règles de la communauté
      • Conditions d'utilisation
      • Confidentialité et choix publicitaires
      • Ne pas vendre ni partager mes informations
      • Outil de consentement aux cookies

      Travailler avec nous

      • Annonceurs
      • Carrières
      Télécharger l'application

      • Parcourir par :
      • Entreprises
      • Emplois
      • Lieux

      Copyright © 2008-2026. Indeed, Inc. « Glassdoor », son logo, « Worklife Pro » et « Bowls » sont des marques déposées de Indeed, Inc.

      Entreprises suivies

      Tenez-vous au courant des dernières opportunités et profitez de conseils d’initiés en suivant les entreprises de vos rêves.

      Recherche d’emplois

      Obtenez des recommandations et des mises à jour personnalisées en démarrant vos recherches.

      Entretien pour Data Scientist

      28 févr. 2026
      Candidat à l'entretien anonyme
      Londres, Angleterre
      Aucune offre
      Expérience négative
      Entretien difficile

      Candidature

      J'ai postulé via la recommandation d'un employé. J'ai passé un entretien chez Faculty.ai (Londres, Angleterre) en févr. 2026

      Entretien

      1. Screening call with HR. The role was advertised as remote, on call they told me I would need to relocate to London as it’s actually 4 days a week in person and that even if I did move to London I would have to commute out to the South West. 2. Take home test Codility - basic questions about lists and dictionaries and felt like a waste of time 3. “Technical interview” - a 30 min live coding task that wasn’t relevant to the role, another 30 min of “theory” but the level of detail wanted wasn’t realistically ever a conversation I would have with a coworker or a stakeholder. My interviewers were switched out at the last minute so I had no clue who I was speaking to, they didn’t introduce themselves either or ask me any questions about myself or my experience. They made snide comments about if my WiFi would be good enough when I said I was taking the call from a family members house (I had explained I was there due to a bereavement). The same interviewer kept “correcting” me mid way through a line of python on any typo/indents and wouldn’t let me check for myself then held this against me. The scenario wasn’t something you would ever do in a data science role and the python commands for working with lists and pandas are different but my brain kept defaulting to the pandas command (I knew it would probably be wrong I just wanted to check) and he was still correcting me. The theory section wanted a ridiculous level of detail which unless you’re a fresh grad or studied for hours and hours I don’t see why you would retain that info. Or ever realistically needed, it felt like they were looking for a researcher not a DS. I asked about the team structure and said I was keen to work with more senior colleagues and learn different ways of problem solving and gain broader experience. The interviewer again made a dismissive comment saying that he had done a PhD and had to work on his own for 4 years and so I should suck it up and do the same???? Honestly I am so relieved I don’t have to do another call with them it was the worse interview I’ve gone to and I just wanted to leave the whole time. Really wouldn’t recommend.

      Questions d'entretien [2]

      Question 1

      Cosine similarity test between tweets
      Répondre à cette question

      Question 2

      Model overfitting issues and fixes. Hyper parameter tuning How does xgboost model work If you went to a stakeholder with a model that was biased gender wise how would you explain it to them — that one was really odd because you had to go into detail about the “social” ramifications rather than just presenting your stakeholder with all the information so they can make an informed decision which is what you would actually do
      Répondre à cette question

      Autres retours d’entretien d’embauche pour un poste comme Data Scientist chez Faculty.ai

      Entretien pour Data Scientist

      10 déc. 2025
      Candidat à l'entretien anonyme
      Londres, Angleterre
      Offre refusée
      Expérience neutre
      Entretien facile

      Candidature

      J'ai postulé via un recruteur. Le processus a pris 3 semaines. J'ai passé un entretien chez Faculty.ai (Londres, Angleterre) en déc. 2025

      Entretien

      The interview had 2 rounds. The first round was coding. This was Python coding of simple NLP code problem. Think converting str to bag of words then. 2) Business case study: very simple standard DS problem and discussion around that extra word

      Questions d'entretien [1]

      Question 1

      Describe a previous time you used a machine learning model
      Répondre à cette question

      Entretien pour Data Scientist

      28 juin 2026
      Candidat à l'entretien anonyme
      Londres, Angleterre
      Aucune offre
      Expérience neutre
      Entretien moyen

      Candidature

      J'ai passé un entretien chez Faculty.ai (Londres, Angleterre) en sept. 2025

      Entretien

      First was a screening with an in-house recruiter, then technical interview with other data scientists, then commercial interview with seniors (a tech and a commercial lead). First part was straightforward and technical interview was very basic. Final interview is challenging with lots of scenarios, but the interviewers were always nice.

      Questions d'entretien [1]

      Question 1

      How do you manage clients who want to increase the scope once the project has started?
      Répondre à cette question