TransUnion Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 26 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at TransUnion.
TransUnion
Data Scientist
Mid Average Negative experience No offer 2 rounds
Interview process
Recruiter call Technical screen Phone screen
Interview formats
Technical Behavioral
My interview experience with this company was really bad and unprofessional. The hiring manager kept cutting me off during our hour-long chat, not to ask for more info but just to butt in whenever she wanted. She didn't seem to know basic interview etiquette. Even though she interrupted me a lot, I was told I did well and that someone would contact me for the next step. But then, nothing. I emailed them to follow up, but still no reply, not even a rejection. I'm actually glad it ended there because a process this messy and rude, from HR to the manager, makes me think the job itself would be terrible. If that's how she manages people, it would be a nightmare to work for her. A company that lets someone act like that in interviews shows their true colors. Getting ghosted can be a good thing sometimes.
Confirmed questions4 questions
- Questions about data processing
- Questions about modeling
- Questions about SQL
TransUnion
Data Science Intern
Intern Average Neutral experience No offer 3 rounds
Interview process
Technical screen Onsite
Interview formats
Technical Behavioral
The interview was pretty average. It was my third round. Two interviewers were present; one focused on technical aspects, and the other on behavioral. A technical recruiter presented me with a scenario where I needed to apply an ML model and asked follow-up questions based on my response, though I felt a bit interrupted before finishing my answers.
Confirmed questions3 questions
- What's your strategy for dealing with missing data points?
- Can you describe how you would implement an ML model for a specific scenario?
- Following up on applying an ML model, what further questions would you ask or considerations would you have?
TransUnion
Data Scientist Intern
Intern Average Positive experience Accept offer 2 rounds
Interview process
Take home Technical screen
Interview formats
Technical Coding
The interview process involved an online assessment (OA) that included questions about wine data and two BigQuery (BQ) problems. This was followed by a final round where they asked about my resume and several machine learning (ML) related questions, covering metrics, models, and features for loan applications. Overall, it was an average interview experience.
Confirmed questions4 questions
- When are precision and recall more critical in different situations?
- What metrics are used to evaluate machine learning models?
- Can you describe a machine learning model and its parts?
TransUnion Data Scientist Interview Questions
Quoted word for word from TransUnion interview reports.
“What metrics are used to evaluate machine learning models?”
Read reports →“What are the implications of such missing data for an analyst?”
Read reports →“When are precision and recall more critical in different situations?”
Read reports →“What are some key concepts in probability and machine learning?”
Read reports →“Which model do you think is most appropriate for predicting wine quality?”
Read report →“What features would be relevant for a loan prediction model?”
Read report →“Can you join two datasets for a standard SQL question?”
Read report →“Can you describe a machine learning model and its parts?”
Read report →“Describe how you would build a model to predict loan default.”
Read report →Formats, difficulty and experience
Across all 26 TransUnion interview reports.