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%
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I applied online. I interviewed at Accenture in Jul 2023
Interview
First there is Technical interview it is average level questions asked mostly related to Python statstics machine learning nlp deep learning aws generative ai project related questions and all relvent fields
I applied through a staffing agency. The process took 3 weeks. I interviewed at Accenture (Hyderabad) in May 2024
Interview
Interview process and receiving offer letter all took around 3 weeks time, first round is virtual and second round also virtual but need to visit their office in nearby location. They provide a laptop in their office during second interview and we need to attend virtual interview.
Interview questions [1]
Question 1
Accenture 2nd round interview questions
1. What is more comfortable to you ? ML/DL or genAI?
2. Any exposure to genAI, have you done any POC?
3. Have you done any course or genAI?
4. In Deep learning what kind of pretrained models you are using?
5. Which sequence to sequence you have used?
6. What sort of architecture sequence to sequence model has? (Interviewer answer is encoder and decoder model)
7. For deep learning which library you used?
8. Any other framework do you aware that deep learning models can be trained?
9. What you think most difficult part while you implement sequence to sequence model in tensorflow?
10. Give a objective of a deep learning model like this is the business objective, due to which I want to implement sequence to sequence architecture? how prepared data for the same?then how you implement sequence to sequence modelling?
11. Let’s assume your model is giving high False Negative that you don’t want and you need to improve this model, what performance tuning you applied in the modelling?
12. Let’s assume you done all fine tuning but still you are not achieving you model performance then what else you can do?
Don’t you think synthesizing data would be good option?
13. What are the hyper parameters you tuned in deep learning model?
14. Adding a deep layer would suffice your problem do you think? Is it have any adverse effects?
15. In Random Forest what is out of bag error?
16. What is precision medicine or (might be precision magascin)? as you are working in Pharma domain so long.
17. In pharma field what are the advance use cases you heard of as for as AI is concern?
18. What is the dimension of the numpy array?
19. If you find programmatically, how would you find the dimension of each of the provided numpy arrays?
20. What is the use of reshape in numpy?
21. How many use cases did you solve with DL & ML?
22. How many do done personal projects?
23. Which cloud flatform are you using?
24. In AWS what you have used to deploy models?
25. What is well known platform in aws to deploy models?
I applied online. I interviewed at Accenture in Jul 2022
Interview
I only have two interviews as a process. No exam needed since that is for new graduate. First interview is for HR like basic question on what is your strength and weakness. And what is your past experience and why do you left the previous company and why are you applying. Just also mention that you are available to work on any shift (if you don’t mind about it). Then the hr will also ask you on what are your preferred locations. Then second interview will be technical interview. You need to be prepared this time. You must learn how to answer questions regarding on the lingo and process of the technology that they were looking for. As for me, I was aked about Python