Candidatei-me por indicação de um funcionário. Fui entrevistado pela Boston Consulting Group em jan. de 2026
Entrevista
AI based video interview followed by coding round which was using codesignal. Then there was one coding interview with a case question with a person and then finally 3 interviews. All interviews were about 40 minutes. Questions were mostly case questions except for one round with a very senior member who asked more theoretical questions related to statistics and machine learning. I would advise to look up about the projects and BCG blogs written by your interviews.
Perguntas de entrevista [1]
Pergunta 1
Case questions from their past client projects
Theoretical questions like bias vs variance
Fiz uma entrevista na empresa Boston Consulting Group.
Entrevista
One technical round with basic python/EDA/ML questions, followed by a case round, followed by 3 back to back cases. The cases were testing fundamentals, and how you respond under pressure, as well as your communication and applied data science skills
Perguntas de entrevista [1]
Pergunta 1
1. Predictive maintenance case - if you have more time how will you explain to a client how you'll improve a model
2. Random forest - if you have a noisy dataset (lots of features that don't matter) whats the probability of the 2 features of interest being present in any single tree that randomly selects 50 features out of 100
Candidatei-me de outra forma. O processo levou 3 semanas. Fui entrevistado pela Boston Consulting Group em fev. de 2026
Entrevista
Coding assessment, involving basic pandas questions towards data cleaning, preprocessing, structuring, and also questions regardind ML.
It involves the need to understand pandas, scikit and numpy very well.
Totally automated via Code Signal.
Fiz uma entrevista na empresa Boston Consulting Group (New York, NY).
Entrevista
First a online One-way interview, then online python coding round, then is a live coding+technical case with real person, last round will be 3 technical cases with partners. Case can be technically challenging