I applied online. The process took 2 months. I interviewed at Fractal
Interview
Applied online. Coding round, Tech screening, consulting round, HR round, followed by 2 more tech rounds. All over phone, except for the consulting round which was on Skype.
Interviewers were professional and accommodating - the few scheduling hiccups that occurred were handled quite professionally. Quite a thorough interview process with a fairly uniform cadence.
Interview questions [1]
Question 1
Was mostly grilled on a few case studies and a lot of ML fundamentals. Make sure you understand all the ML techniques you've used to a fair bit of depth. Even the case studies were decently challenging, as opposed to other DSaaS companies where they were either too vague or too straightforward.
Thank you for taking a moment to share a review of your experience interviewing with Fractal. We are glad it was positive and led you to the decision to join us. We hope your experience as an employee be equally positive.
Fractal HC Team
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.
