Ho sostenuto un colloquio presso Boston Consulting Group (Gurgaon, Haryana)
Colloquio
After getting referral for dara analytics role, they call for 5 min telephonic interview. Ask about brief intro and from when are you available to join. since I am a fresher and 1.5 mother is left to complete the degree so they told me 1st complete the degree then we will talk. and didn't call again 🙃
Domande di colloquio [1]
Domanda 1
asked about brief intro and general questions where are you living currently, when did you complete your graduation.
Ho sostenuto un colloquio presso Boston Consulting Group (Bengaluru)
Colloquio
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.
Domande di colloquio [1]
Domanda 1
Simple ML questions:
- Bagging
- Boosting
- Logistic Regression
- Random Forest
- Decision Trees
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Boston Consulting Group (Bogotá, Bogota) nel mese di mar 2026
Colloquio
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).
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Boston Consulting Group (Casablanca, ) nel mese di feb 2026
Colloquio
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.
Domande di colloquio [1]
Domanda 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.
