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
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
