BCG Gamma·Data Scientist·Technical Phone Screen
Apr 2026
BCG Gamma data science case interview built around a transaction dataset. Three questions, all practical ML stuff, nothing too abstract but the second one definitely made me think harder than I expected.
- Given a transaction dataset with fields like transaction date, client ID, item color, and purchase amount, what features would you engineer to predict whether a client will make a purchase in the next 3 months?
- You train a model and the accuracy looks suspiciously high, almost too good to be realistic. What might have gone wrong?
- Your SVM classifier isn't performing well. What steps would you take to improve it?
“This is where I spent most of my energy.”