J'ai passé un entretien chez Boston Consulting Group
Entretien
Consisting of technical coding round, with multiple case interviews. The focus of case interviews is to gauge problem solving skills. There were technical interviews as well, covering in-depth of expertise in analytics domain
J'ai passé un entretien chez Boston Consulting Group (Bengaluru)
Entretien
I attended the initial online assessment, where there were MCQ questions on statistics, probability, machine learning, and three coding problems on Python. We had to do data analysis, EDA, feature engineering, and fitting the model and creating a prediction file.
Questions d'entretien [1]
Question 1
Simple ML questions:
- Bagging
- Boosting
- Logistic Regression
- Random Forest
- Decision Trees
J'ai postulé en ligne. J'ai passé un entretien chez Boston Consulting Group (Bogotá, Bogota) en mars 2026
Entretien
The interviewer was very friendly, he explained everything I think he did not leave anything out in terms of salary and benefits, he also explained what would be needed for the technical assessment. In my case, Python (Numpy, Pandas, Scikit-learn).
J'ai postulé en ligne. J'ai passé un entretien chez Boston Consulting Group (Casablanca, Grand Casablanca) en févr. 2026
Entretien
I applied online through the BCG careers page. After about a week, I received an email inviting me to complete a proctored CodeSignal Data Science Framework assessment. The assessment was 90 minutes long and contained 5 questions covering data cleaning, data preprocessing, training a ML classifier, aggregating data from multiple files using joins and groupbys, and a probability calculation. The time pressure was significant. I did not advance past this stage.
Questions d'entretien [1]
Question 1
Given a dataset of drivers with multiple CSV files, clean the data, preprocess features using scikit-learn (imputation, encoding, scaling), and train a classifier to predict a driver's class.
