
IDinsight Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 5 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at IDinsight.
Data Scientist
Started with an online application and got an automated email with the interview schedule. First up was an HR screening, a 30-min phone call about my background, why I'm interested, and if I'd fit in. Then, a 60-min technical interview with two team members. This involved presenting a case study and answering competency questions. They kept me updated after each stage, and the timeline was clear. Unfortunately, after the technical round, I got a quick message saying I didn't make it, without any specific reasons why. The whole process felt organized and professional, but it would have been helpful to get more detailed feedback to learn from.
- Imagine a dice game where each roll costs 100 times the number shown. What's the highest amount you might pay to play this game?
Data Scientist Intern
after initial screening and coding rounds, we had several interviews to check how well the candidate fits the role. we focused on their potential, and the whole thing wasn't too much.
- The coding part included some easy DSA questions and also some good questions about data wrangling using basic python libraries.
Data Scientist
It was really tough for a junior scientist position. The time limit for the coding challenge was a significant hurdle. The interview included a Python coding exercise with multiple questions that had time constraints.
- Python script for data wrangling
IDinsight Data Scientist Interview Questions
Quoted word for word from IDinsight interview reports.
“Python script for data wrangling”
Read reports →“Imagine a dice game where each roll costs 100 times the number shown. What's the highest amount you might pay to play this game?”
Read reports →“The coding part included some easy DSA questions and also some good questions about data wrangling using basic python libraries.”
Read reports →“What is your expertise in Python and R?”
Read reports →“Can you tell me about your background and why you're interested in data science?”
Read report →Formats, difficulty and experience
Across all 5 IDinsight interview reports.