
ING Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 20 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at ING.
Data Scientist
So, the interview process kicked off with an HR interview. Following that, I tackled an online technical assessment. Then, I was invited for a technical interview. The entire thing took about a month. The final stage was supposed to be with the hiring manager.
- Can you tell me about your background?
- Describe a project you're proud of.
- Solve a coding problem involving a banking scenario.
Data Scientist
The interview involved a verbal technical interview and a take-home assignment. Honestly, don't bother with this company. The take-home assignment is a lot of work, and they ask ridiculous questions during the presentation. It was a total waste of my time.
- How much more weight does F2 score give to recall compared to F1 and F0.5?
- How much percentage of difference between training and validation error is concerning for overfitting?
Data Scientist
I sent in my application in May, and HR reached out in July. After that, I had a technical interview with two data scientists. HR had sent me a list of questions beforehand via email that I had to answer. The technical interview was on Skype, lasted an hour, and they had sent me an email with the interview structure a few days prior. The day after, one of the interviewers contacted me to let me know they weren't proceeding with my application. He asked if I wanted feedback, which I accepted. He basically went over what they liked and what could have been better. The feedback was fair and honest. The overall process was good, I have no complaints. You just need to be patient, as there can be a few weeks waiting time between steps.
- Tell me about your most impressive achievement.
- What's a technical/scientific discovery or method you've developed in supervised or unsupervised learning that you're most proud of?
- What are your salary expectations?
ING Data Scientist Interview Questions
Quoted word for word from ING interview reports.
“How much more weight does F2 score give to recall compared to F1 and F0.5?”
Read reports →“Can you find the 8 errors in this Python code?”
Read reports →“How much percentage of difference between training and validation error is concerning for overfitting?”
Read reports →“What are the issues with correlations between independent variables?”
Read reports →“How is the most discriminative feature determined at each node of a Random Forest?”
Read report →“What are the basic assumptions for a logistic regressor?”
Read report →“What steps can be taken to prevent overfitting in a Random Forest model?”
Read report →“Which option is not appropriate for linear data modeling?”
Read report →“What is it that gives you energy?”
Read report →Formats, difficulty and experience
Across all 20 ING interview reports.