Clear Concepts and approach towards solving problems are important. Just be focussed and answer honestly. Practice more and answer to the point, not less noy more. Its easy to clear all rounds.
Its relatively easy for a non-tech person. You have to be quick on your thinking and give relevant examples from your experience. The work life balance is tough though. But all data science and Gen AI related companies with 1 around 1000 employees have a tough professional life
I applied through university. I interviewed at Tredence (Bengaluru) in Jan 2025
Interview
Interview Process:
The interview process consisted of 4 rounds:
Round 1 – Resume Screening Round
Discussion focused on past experience, projects, resume details, and basic technical concepts.
Round 2 – Case Study Round
A case-study-based discussion to evaluate problem-solving, analytical thinking, and approach to structuring solutions.
Round 3 – Director Round
Focused on overall profile evaluation, experience, communication skills, and company/team fitment.
Round 4 – HR Round
HR discussion covering compensation, expectations, notice period, and general process-related topics.
Interview questions [1]
Question 1
Round 1:
Questions based on resume and previous work experience
Project-related discussions
Basic SQL concepts and queries
Round 2:
Questions and discussions based on the case study provided
Approach towards problem-solving and structuring recommendations
Round 3:
Questions around overall company fitment
Career aspirations, strengths, and behavioral scenarios
Round 4:
HR discussions
Salary expectations and negotiation
Availability and joining timelines