I applied through a recruiter. The process took 1 week. I interviewed at Fractal (Bengaluru) in Oct 2020
Interview
My selection process was in 4 steps
Step 1: Online test
The test was not difficult but tricky. There were 2 coding questions associated to data science. I had time to finish all but 1 coding question.
Step 2: Technical Round: I was asked to share my experience at work. There were questions prepared . One of the questions challenged me to think through.
Step 3: Discussion with Manager: This round was more about my ability to communicate complex topics in simple manner.
Step 4: Discussion with HR. : The HR representative was highly impressive. I appreciated her honesty. I was really made to communicate my true aspirations.
Interview questions [1]
Question 1
Q: Can you explain one of your projects end to end ?
Q: Can you explain the concept of over-fitting in simple words ?
Q: Share a experience where you were challenged ?
Q: What do you really want from life, why do you want to move to Fractal ?
Thank you for taking a moment to share a review of your experience interviewing with Fractal. We are extremely happy to know that it was positive! Congratulations on the offer. We look forward to your joining!
Other Senior Data Scientist Interview Reviews for Fractal
Client round was more tough. Screening also was around Reinforcement learning. Which I happened to pass. But cannot pass the client round second time. The interview process was around Artificial Intelligence and RAG.
I applied through an employee referral. The process took 1 week. I interviewed at Fractal (New Delhi) in Sep 2025
Interview
The whole process took almost a week, including 2 Technical interviews, 1 HR round and offer release. Many thanks to Jesvin for making all this possible in such a short period of time.
Coming to the interview
1st round started with basic Python questions and data manipulation, followed by questions on previous role, projects, agentic frameworks, RAG, and retrievers.
2nd round was more in-depth, with a focus on details about Agent implementations, MCPs, Evaluation and improvement techniques.
3rd round (HR) was much simpler, with questions related to previous work experience.
Overall, the process was quick, and every interviewer was supportive and gave feedback properly.
Interview questions [1]
Question 1
Difference between RAG and Agentic RAG
How to evaluate and improve the performance of a deployed model/agent
The interview process typically begins with resume screening, followed by an initial HR call to discuss background and expectations. This is succeeded by technical assessments or assignments to evaluate role-specific skills. Shortlisted candidates then proceed to one or more rounds of technical or panel interviews, where problem-solving, communication, and cultural fit are assessed. The process concludes with a final discussion, reference checks if required, and offer rollout to the selected candidate.
