Data Scientist applicants have rated the interview process at BT Group with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 68.5% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at BT Group as a Data Scientist according to 1 Glassdoor interviews include:
Phone interview: 33%
One on one interview: 33%
Skills test: 33%
Here are the most commonly searched roles for interview reports -
I had two rounds of interviews. The first round I was interviewed by the Director of my team and a Data Scientist, the second round I was interviewed by a Lead Machine Learning Engineer who was more techie.
First round was some general questions about past experience plus a bit of technical questions.
Second round starts with a take home assignment, followed by a full blown technical interview.
Interview questions [1]
Question 1
What methods can you use for evaluating model performance and why you choose this specific one here.
I applied in-person. I interviewed at BT Group (New Delhi) in Feb 2024
Interview
Questions asked are mainly based on Sql - easy to Hard level questions
Cloud - basic questions only
Ml - basic to medium level questions
Although it was not tough and interviewer was also very good
Interview questions [1]
Question 1
Questions asked are mainly based on Sql - easy to Hard level questions
Cloud - basic questions only
Ml - basic to medium level questions
Although it was not tough and interviewer was also very good
I applied online. The process took 3 weeks. I interviewed at BT Group in Nov 2021
Interview
1. Online interview with HR 2. 1st Online interview with Data science Head 3. Technical interview with Data science team 4. Phone call from HR I found the interview very long but enjoying. It was full of technical questions. Technical scenarios were presented and I had to take my time to study the problems and provide a solution.
Interview questions [1]
Question 1
1. Describe your Bachelors/MSc/PhD project. 2. Describe a Data science project you have worked on. 3. Describe a Machine learning algorithm for classification/regression. What are some of the advantages and drawbacks.