Data Scientist applicants have rated the interview process at Accenture with 2.3 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 70.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 60 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Accenture overall takes an average of 30 days.
Common stages of the interview process at Accenture as a Data Scientist according to 3 Glassdoor interviews include:
Phone interview: 100%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Accenture (Los Angeles, CA) in Jun 2019
Interview
Extremely unprofessional process would avoid if possible. Megha reached out for the initial phone screen and then did not respond. After several emails she finally set up a call. The call was ended within a minute due to an
administrative issue she was unclear about (visa related). Has not responded to my emails since.
I applied online. The process took 2 weeks. I interviewed at Accenture (Bengaluru) in Apr 2019
Interview
The interview process was quick. The recruiter was actively connected throughout the process. I applied online via LinkedIn. The recruiter contacted me after 2-4 weeks for some basic background check. A telephonic interview was setup with the Bangalore team in 1 week. They replied in a day after the interview for another phone interview with the US team. The process was easy to follow throughout.
Interview questions [1]
Question 1
The Bangalore round was fairly easy, testing basic concepts of ML - giving scenarios and asking how would we approach to solve the problem. The US team was more interested in algorithms and probability questions.
I applied through a recruiter. I interviewed at Accenture
Interview
First I had an online interview with a human resources specialist, then with a senior data scientist. It was actually a data science consultancy position. First interview was about soft-skills, the second one was about hard-skills. During the second interview (more technical one) we went through a self-assessment form which they asked me to fill. It included machine learning algorithms, programming languages, etc.
Interview questions [1]
Question 1
"Describe a conflict you had with a customer and how you overcome it."