Petronas Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 13 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Petronas.
Petronas
Data Scientist
Mid Difficult Negative experience No offer 2 rounds
Interview process
Recruiter call Technical screen Offer
Interview formats
Technical Behavioral
So, I had this interview with two people, one was pretty chill, the other was super interrogative. Then we talked salary, and there was this really awkward, long silence, and that was that. About 3 hours later, I got an email saying I was rejected. I actually asked about the salary range before the technical test, but they were super vague. Turns out, from friends who also work there as Data Scientists, my salary expectation was way over their budget, even though they had me fill out the HR form with my salary expectations. Total waste of time.
Confirmed questions1 question
- Can you describe your current responsibilities at your present company?
Petronas
Data Scientist
Executive Difficult Neutral experience No offer 3 rounds
Interview process
Take home Technical screen Panel
Interview formats
Case Technical Behavioral
First up was a pre-interview case study for hotel management, where I had to analyze data, pull out business insights, and build machine learning models. Then, there was a technical interview with two PhDs covering data science fundamentals like probabilities, machine learning, and deep learning. Finally, I had a CBI assessment with the HR manager and Chief Data Scientist, focusing mostly on situational questions, no technical stuff.
Confirmed questions4 questions
- Can you explain the distinction between supervised and unsupervised learning approaches?
- What differentiates a list from a set in Python?
- Could you define Exploratory Data Analysis (EDA)?
Petronas
Data Science Intern
Intern Easy Positive experience Accept offer 1 round
Interview process
Recruiter call Technical screen Presentation
Interview formats
Behavioral Presentation Technical
The interview process did not involve technical questions. It mainly consisted of general questions, more like sharing knowledge about academic subjects taken. Candidates were also asked to demo their final year project and explain its purpose.
Confirmed questions6 questions
- What subjects did you take in college?
- Can you describe your final year project?
- What was the purpose of your final year project?
Petronas Data Scientist Interview Questions
Quoted word for word from Petronas interview reports.
“What differentiates a list from a set in Python?”
Read reports →“Can you explain the Bayes theorem in machine learning?”
Read reports →“What methods can be used to identify outliers in a dataset?”
Read reports →“Can you explain the inner workings of the random forest model?”
Read reports →“Could you define Exploratory Data Analysis (EDA)?”
Read report →“Can you explain the distinction between supervised and unsupervised learning approaches?”
Read report →“Could you list some machine learning models you're acquainted with?”
Read report →“What subjects did you take in college?”
Read report →“Can you tell me about situations where you would use a regression model?”
Read report →Formats, difficulty and experience
Across all 13 Petronas interview reports.