Data Scientist applicants have rated the interview process at Bloomberg with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 55% positive. To compare, the company-average is 54.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 19 days to get hired, when considering 11 user submitted interviews for this role. To compare, the hiring process at Bloomberg overall takes an average of 23 days.
Common stages of the interview process at Bloomberg as a Data Scientist according to 11 Glassdoor interviews include:
Phone interview: 36%
Group panel interview: 21%
One on one interview: 21%
Presentation: 7%
Background check: 7%
Skills test: 7%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 2 weeks. I interviewed at Bloomberg (New York, NY) in Feb 2019
Interview
The 4-step interview process began with a 15-minute HR screening asking me about my interest in role, my salary expectations, and perhaps one other generic screening question. The second interview I had was with a member of the Global Data team, where he asked me probing questions based on my experience on my resume. Didn't get past this part, as I probably was not fully qualified, however, the next steps would have been a video interview with some HackerRank-like coding questions and some case study analysis and, lastly, an onsite visit with a few interviews with team leads and HR.
I applied online. The process took 3 months. I interviewed at Bloomberg (Milan) in Nov 2025
Interview
3 round di colloquio più final round.
Primo round behavioural con qualche domanda tecnica molto semplice.
Secondo round leetcode essenzialmente.
Terzo round bussiness case in python e pandas.
Overall colloqui non complessi, sempre gentilissimi
Interview questions [1]
Question 1
Come spiegheresti ad un bambino la differenza tra queue e stack
I applied through a recruiter. The process took 2 months. I interviewed at Bloomberg (London, England)
Interview
4 rounds, including 2 technical rounds - real-time coding task with leet code style task and Jupyter notebook data diagnostic task, 1 HR screening and team leader chat to see the cultural fit
Interview questions [1]
Question 1
What are the difference between data stack versus data queue
Interview covered topics in statistics and machine learning, including linear regression. It was held on a Friday evening quite late as that was the only time available for the interviewer.