Data Science Intern applicants have rated the interview process at Novelis with 3 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 66.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science Intern roles take an average of 1 day to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Novelis overall takes an average of 19 days.
Common stages of the interview process at Novelis as a Data Science Intern according to 3 Glassdoor interviews include:
Group panel interview: 40%
Drug test: 20%
One on one interview: 20%
Phone interview: 20%
Here are the most commonly searched roles for interview reports -
I applied in-person. I interviewed at Novelis (Oswego, NY)
Interview
Very fast-paced hiring process and upfront with candidates. Teams interview, then in-person interview with HR, internship supervisor, and the boss of the team I'd be joining. Friendly and easygoing—asked reasonable questions.
Interview questions [1]
Question 1
Round 1
Are you familiar with Novelis?
Why were you drawn to this role?
Any specific tech you would be interested in working with?
Any questions you have for me?
Next Steps, round 2 interview
Round 2
Introductions
What do you know about Novelis?
Tell us anything you’d like us to know about yourself, including hobbies, past experiences, and stuff on your resume
Flowed into more questions about experiences with certain tools and contexts I used them in
5 year plan?
What expectations do I have for the role
Any questions for them
Interview with a senior engineer and the HR. Questions were asked based on the resume and some time series questions. Following the interview was a take-home assessment which involved building a website
I applied online. The process took 1 day. I interviewed at Novelis (Bloomington, IN) in Jan 2022
Interview
This was a good interview but one of my firsts so I was nervous. I had a 30 minute audio call. I was mainly asked about my prior experience and project details.
Interview questions [1]
Question 1
Explain your project.
How to identify a feature as categorical or numerical?