
Scotiabank Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 37 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Scotiabank.
Data Scientist
The interview process is pretty standard, with two main parts. First, there's an HR Round where they mostly want to hear about you, go over your resume, and see if you're a good fit. They'll check your communication skills and why you want the job. It's not super technical. Then, you have a Team Interview with people you might work with. This part mixes behavioral questions, like about your past projects and how you work with others, with technical questions. The technical side usually tests your basics in Python, SQL, and SAS, focusing on how you'd actually use them rather than super hard stuff. It's not too tough if you know your resume, have some answers ready for behavioral questions, and know your Python, SQL, and SAS basics.
- Can you explain how to pull data from one table and then join it with another table based on a specific column?
Data Scientist Intern
Getting an internship at Scotiabank is a great opportunity. They have a program called Velocity that manages all internships at Scotiabank and Tangerine. To get an internship, you need to do well on the plum profile assessment. They value ownership and leadership skills. If you pass the initial plum profile round, you'll have a coffee chat with HR. After that, they will set up interviews for you. If you don't get selected for a specific role, you might get the chance to interview for other roles. It's best to stay open-minded and explore different possibilities.
- Can you discuss your past projects and relevant experience?
- Could you answer some basic questions pertaining to this position?
Data Scientist
I got an email asking me to do an online screening first. Then, about two weeks later, they called me for a phone interview. It took them over two weeks to respond, and I even emailed them to check on my application. They didn't email me back, so I had to keep checking their website for updates. The HR person said the interview would be a mix of soft skills and high-level technical interest, but it ended up being very technical.
- Can you explain the distinction between overfitting and underfitting?
- Is it always true that high accuracy guarantees the best outcomes?
- Could you provide a real-world scenario where high precision is desirable?
Scotiabank Data Scientist Interview Questions
Quoted word for word from Scotiabank interview reports.
“Could you explain the distinction between a generalized linear model and a general linear model?”
Read reports →“Write SQL queries to extract specific information from another toy dataset.”
Read reports →“Is it always true that high accuracy guarantees the best outcomes?”
Read reports →“What are the key machine learning metrics, and how are they used?”
Read reports →“Can you explain clustering algorithms and the confusion matrix?”
Read report →“Can you explain the distinction between overfitting and underfitting?”
Read report →“Can you explain the distinction between supervised and unsupervised learning?”
Read report →“How would you explain the concept of neural networks to someone without a technical background?”
Read report →“How do you adapt to the climate in Canada, specifically regarding snow?”
Read report →Formats, difficulty and experience
Across all 37 Scotiabank interview reports.