Data Scientist applicants have rated the interview process at BMO Financial Group with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 64.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 28 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at BMO Financial Group overall takes an average of 23 days.
Common stages of the interview process at BMO Financial Group as a Data Scientist according to 2 Glassdoor interviews include:
Group panel interview: 25%
Presentation: 13%
Skills test: 13%
Phone interview: 13%
Drug test: 13%
One on one interview: 13%
Background check: 13%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at BMO Financial Group
Interview
Recruiter round, ML round, Case study which is a take-home assignment, and Final round on case study. All the rounds were online. The recruiter round was basically to understand the salary expectation, openness to relocation and work authorization. ML round was resume and machine learning-based. General interview questions.
I applied online. I interviewed at BMO Financial Group (Waterloo, ON) in Apr 2026
Interview
The interview lasted about 1.5 hours and was divided into three parts: ML and recommender systems questions, algorithm and SQL. The questions were medium but the interviewer was friendly and gave enough time to think through the questions.
Interview questions [1]
Question 1
Familiarity with recommender systems and their underlying concepts.
I applied online. The process took 4 weeks. I interviewed at BMO Financial Group in Mar 2024
Interview
There are three rounds, including a data analysis project, and two rounds virtually with team members, questions including stat, machine learning, math and programming, candidate must have relevant experience in data science.
The interview process started with a 30 minute recruiter screen, followed by a technical screening asking SQL and Python questions, followed by a team interview asking a combination of behavioural and technical ML questions.
Interview questions [1]
Question 1
Write a function that takes in a number n and outputs the nth term of the Fibonacci sequence (Python coding question)