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      Colloqui di INGColloqui per Data Scientist presso INGColloquio di ING


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      Colloquio per Data Scientist

      24 feb 2020
      Candidato anonimo a colloquio
      Amsterdam
      Nessuna offerta
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso ING (Amsterdam) nel mese di gen 2020

      Colloquio

      First telephone interview -Questions about motivation, what kind of experience I have which make me suitable for this position Second Interview with group leader - Technical questions about programming and machine learning, again motivation, what steps I did to prepare myself to become a Data Scientist in banking. Third interview - even more technical, at the end of the interview the interviewee receives a case he/she has to solve and present to the group in the fourth interview Fourth interview: presentation of the case and how you solved it in front of the entire group. Fifth: Salary discussion with group leader and manager.

      Domande di colloquio [1]

      Domanda 1

      They discontinued with me after the 2nd round therefore I can only state questions asked in the first two rounds. 1. Round: - Why do you want to work at ING - Had you previous experience in Finance 2nd Round: The second round was with the group leader and one senior person. They asked me only about my experience in software engineering and machine learning. - Are you familiar with GitHub, do you have a GitHub account? - What are the most recent trends in Machine Learning? - How do you keep up with updates in the world of Machine Learning? - How did you prepare yourself for the transition from Academia to ING (banking)? Did you do any additional online courses? - Explain the Random Forest algorithm? - At each node of a Random Forest, how is decided which feature is the most discriminative? - What is model overfitting? - How can you prevent a Random Forest from overfitting? - What are the underlying assumptions of a logistic regressor? - Why are correlations between independent variables bad?
      1 risposta
      7

      Altre recensioni di colloqui per Data Scientist presso ING

      Colloquio per Data Scientist

      11 gen 2026
      Dipendente anonimo
      Varsavia, Masovia
      Offerta accettata
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso ING (Varsavia, Masovia)

      Colloquio

      Firstly it was a test. Couple of months later I've had a call with manager and later with direct product owner. It has taken 2-3 weeks for final answer and enrollment.

      Domande di colloquio [1]

      Domanda 1

      First question was about data and how you process it in models in a typical way.
      Rispondi alla domanda

      Colloquio per Data Scientist

      23 set 2025
      Dipendente anonimo
      Bucarest,
      Offerta accettata
      Esperienza positiva
      Colloquio nella media

      Colloquio per Data Scientist

      9 ago 2025
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso ING

      Colloquio

      The process had several rounds. It comprised an initial online tech assessment (some multiple choice questions and a sql and python exercise), HR chat, personality interview, case study and one final chat. The case study was a take-home assignment to be discussed in an hour interview. Overall they were professional and kind.

      Domande di colloquio [1]

      Domanda 1

      Explain how logistic regression works
      Rispondi alla domanda

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso ING (Bucarest, )

      Colloquio

      The interview process was smooth and well-structured, with technical questions that gradually increased in difficulty. This approach made the discussion feel comfortable, engaging, and gave me the chance to showcase my skills step by step.