McKinsey (QuantumBlack AI) – Internship Selection Process (Jan–Jun 2026)
This was an on-campus hiring for a 6-month Data Science intern role.
1️⃣ Online Test (from Room)
One small ML task: train a simple linear regression model in Python.
One small sorting question (basic DSA).
Overall very easy.
After this test, 24 students were selected for interviews.
2️⃣ Round 1 Interview
They asked only about your ML projects and internships from your resume.
Nothing outside ML.
From here, 14 students were selected for the next round.
3️⃣ Round 2 Interview
Much deeper ML questions.
More technical and detailed discussion on models, data, and your past work.
After this, 7 students moved to the final round.
4️⃣ Final HR Round
Questions on your resume, your motivation, and one or two guesstimate questions.
Very simple and friendly round.
Finally, 4 students were selected for the internship.
Important Observation
They did not care about CGPA.
They mainly selected students who had done internships at big, well-known companies.
The brand name on your resume mattered a lot.