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UPL Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 7 interview experiences · FREE TO READ

3 Rounds average
Average Typical difficulty
71.4% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at UPL.

Showing 3 of 7
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Data Scientist Intern

Analytics · half a year ago

Intern Difficult Positive experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite Offer
Interview formats
Technical Behavioral

First, you apply, then there's an initial screening. After that, you might have technical or skill tests. Then comes a few rounds of interviews with different people you'd be working with. Lastly, you'll either get a job offer or be told no, and sometimes there's some back and forth on the offer details.

Confirmed questions6 questions
  • Questions about your resume, focusing on your internship.
  • Questions about your interests.
  • Questions about your hobbies.
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Data Scientist

Analytics · nearly a year ago

Senior Easy Positive experience No offer 2 rounds
Interview process
Technical screen
Interview formats
Technical Behavioral

I went through a completely online interview process back in January 2026. There were 2 rounds in total. The first round was a technical one where we started with introductions and then discussed my projects, covering topics like ML, genai, and statistics.

Confirmed questions5 questions
  • Can you explain how to determine the embedding dimension?
  • What is a t-test?
  • What is an ANNOVA test?
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UPL

Data Scientist

Analytics · a year ago

Mid Difficult Negative experience Decline offer 2 rounds
Interview process
Technical screen Panel
Interview formats
Technical Case Presentation

The interview for the Data Scientist role at UPL involved a mix of technical and domain-specific questions. We covered SQL, machine learning case studies, and how they apply to agricultural data. The panel really focused on sustainable solutions and making a real-world impact. It was important to have a good grasp of agritech and be able to explain findings to people who aren't technical.

Confirmed questions1 question
  • Can you explain the Transformer model?

UPL Data Scientist Interview Questions

Quoted word for word from UPL interview reports.

What are the criteria for selecting among various Machine Learning algorithms?

Read report

Can you explain your method for testing the normality assumption in a regression model?

Read report

Can you walk me through all the projects you've worked on?

Read report

Formats, difficulty and experience

Across all 7 UPL interview reports.

Interview formats

Technical 43.8%
Behavioral 31.2%
Coding 12.5%
Case 6.2%
Presentation 6.2%

Interview difficulty

Easy 14.3%
Average 42.9%
Difficult 42.9%

Candidate experience

Positive 71.4%
Negative 14.3%
Neutral 14.3%