Great Learning Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 10 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Great Learning.
Great Learning
Data Scientist
Mid Difficult Positive experience Accept offer 3 rounds
Interview process
Technical screen Take home Technical screen Recruiter call Background check Offer
Interview formats
Technical Coding Behavioral
We started with an AI proctored interview and an online assessment (OA). After that, there were 3 rounds. The first round was a technical and logical aptitude test. The second round was an interview, and the third was an HR interview. Each round was an elimination round. The OA and AI interview covered deep learning, transformers, ML concepts, and aptitude. The technical and logical round included some tough puzzles and a coding aptitude question where I had to describe the workflow and pseudocode on paper. Everything was graded, and marks were assigned based on resume, tests, and interviews.
Confirmed questions1 question
- Machine Learning Metrics and also some questions based on resume
Great Learning
Data Scientist
Entry Difficult Positive experience Accept offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical
The interview process was very smooth and made me feel comfortable, not tense. The questions were easy to understand. I got good, honest feedback.
Confirmed questions2 questions
- Can you describe the role of a Data Scientist?
- In what ways could you contribute to Great Learning in a Data Scientist position?
Great Learning
Data Scientist
Intern Average Negative experience Decline offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral
It was more of a get-to-know-you rather than a work-focused interview. The 20-minute interview felt too short for this role, and I was expecting a better experience. I was disappointed with how the interview process went. I was offered an intern role but declined.
Confirmed questions1 question
- Can you tell me about the libraries you've utilized in your projects?
Great Learning Data Scientist Interview Questions
Quoted word for word from Great Learning interview reports.
“Given a DataFrame with column A containing a series from 1 to 10, provide the pandas syntax to extract the even numbers.”
Read reports →“What are the hyperparameters for Random Forest?”
Read reports →“What is the F1-score, and why might it be preferred over precision or recall in certain situations?”
Read reports →“What is the general rule of thumb for determining if a dataset is imbalanced?”
Read reports →“What constitutes an imbalanced dataset?”
Read report →“Given two tables, A and B, both with two columns. In Table A, one column has categories with duplicate values, linked to a number in the second column. Table B has the same columns but the categories are unique, with added values for each unique category. Explain how to derive Table B from Table A using pandas.”
Read report →“Why would one use a QQ plot?”
Read report →“If a dataset has imbalanced categories, what accuracy metric would you suggest using?”
Read report →“Describe the typical order of execution for operations in SQL.”
Read report →Formats, difficulty and experience
Across all 10 Great Learning interview reports.