Data Scientist applicants have rated the interview process at KPIT Technologies with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 62.9% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at KPIT Technologies as a Data Scientist according to 2 Glassdoor interviews include:
Group panel interview: 50%
Phone interview: 50%
Here are the most commonly searched roles for interview reports -
Explain bias variance tradeoff, bagging and boosting, which models did you use and why, can you reduce memory, explain your projects, questions about projects, linear regression assumptions, logistic regression, xgboost, neural networks
Interview questions [1]
Question 1
Explain bias variance tradeoff, bagging and boosting, which models did you use and why, can you reduce memory, explain your projects, questions about projects, linear regression assumptions, logistic regression, xgboost, neural networks
I applied through a recruiter. I interviewed at KPIT Technologies in Mar 2026
Interview
The interview process at KPIT Technologies was not a good experience. It felt unstructured and unprofessional. The interview was scheduled only 1–2 hours in advance, which gave very little time to prepare.
The interviewer did not seem to know who they were interviewing or what position the interview was for. Many of the questions were irrelevant to the role, including technical questions that were not related to the position. Some questions also felt very generic, like they were taken from ChatGPT rather than based on the actual job requirements.
After the interview, there was no proper follow-up or communication. Overall, the process felt disorganized, unhelpful, and not very professional.
I applied in-person. I interviewed at KPIT Technologies
Interview
I had a Walk-in-interview at one of my locations. The process was hassle-free. I had 2 Interviews after which I got selected for the company. Overall experience during the interview was nice.