Data Science Intern applicants have rated the interview process at RBC with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 70.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science Intern roles take an average of 5 days to get hired, when considering 9 user submitted interviews for this role. To compare, the hiring process at RBC overall takes an average of 22 days.
Common stages of the interview process at RBC as a Data Science Intern according to 9 Glassdoor interviews include:
Phone interview: 33%
Group panel interview: 33%
Presentation: 33%
Here are the most commonly searched roles for interview reports -
after applying, i got sent an email to do a coding assessment. There is a coding assessment. 4 leetcode questions. There was an easy one, 2 mediums and a hard one. I'd say its pretty fair the test is on codesignal assessment and is proctorred.
Interview questions [1]
Question 1
here is a coding assessment. 4 leetcode questions. There was an easy one, 2 mediums and a hard one.
It was alright nothing crazy asked be basic and simple questions if you prepare at all its pretty easy nothing to stress about at all in my opinion just practice the easiest questions and you will be fine
This comprehensive collection contains 30 carefully crafted technical interview questions specifically designed for RBC (Royal Bank of Canada) Data Science internship and graduate full-time positions. Each question is aligned with RBC's business priorities, technological stack, and the real-world challenges that data scientists at RBC encounter daily.
Interview questions [1]
Question 1
Explain the bias-variance trade-off in machine learning. How does it relate to overfitting and underfitting? Provide an example of how you would manage this trade-off in a model for predicting loan defaults