Online Assessment The first stage consisted of an online test with two components: Python Coding Question: Tested problem-solving and programming ability. Linear Regression Task: Required implementing a simple linear regression model on a given dataset. Interview Rounds The interview process included three rounds: Round 1 – Technical/Project Discussion Focused on projects mentioned in the resume and recent internships. Candidates were expected to explain their work in detail, highlighting technical skills, methodologies, and outcomes. Round 2 – Case Interview Similar to a consulting case interview, this round assessed problem-solving, analytical thinking, and the ability to structure solutions to business problems. Round 3 – HR Interview The final round was an HR discussion covering behavioral questions, motivation for joining McKinsey, and alignment with the firm’s values and culture.

The interviewer asked me a few questions during the interview, mainly about my motivation and expectations for working there. They also asked me to briefly talk about why I’m interested in the roles I applied for, based on my past projects and relevant experience.

There were 1 aptitude round, 2 technical rounds and HR round and it was on campus recruitment. Basic aptitude, tricky technical questions and average HR round. Overall a smooth process.