Data Science applicants have rated the interview process at Experian with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 40% positive. To compare, the company-average is 59.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science roles take an average of 7 days to get hired, when considering 5 user submitted interviews for this role. To compare, the hiring process at Experian overall takes an average of 25 days.
Common stages of the interview process at Experian as a Data Science according to 5 Glassdoor interviews include:
Phone interview: 67%
Presentation: 33%
Here are the most commonly searched roles for interview reports -
I had high expectations interviewing with Experian given its size and reputation, but my experience was very disappointing. Throughout the process, I was given the impression that an offer would be forthcoming. Based on that, I declined another opportunity in good faith. After multiple follow-ups and extensive engagement, I received no communication for over a month, and then a system-generated rejection.
Additionally, there was inconsistent and inaccurate information shared regarding compensation, which the hiring manager later acknowledged. This created confusion and undermined trust in the process.
For a company of this scale, the lack of transparency and responsiveness was shocking.
2 tech interview via zoom from the same team. Basic ML knowledge and some case study according to that.
Nice Interviewer, quick call for offer after interview.
Took 1 week from 1st round to offer call
Basic question around ML, SQL, data science. Biased towards R, but Python is also tested. You may need to prepare. Management might not know much about Data Science or Machine Learning.