ACCENTURE INTERVIEW : LEARN R, PYTHON AND SAS
- April 7, 2019
- Posted by: Subhra B
- Category: Uncategorized
Accenture is a leading brand when it comes to picking interns for Data Analyst and Consulting profiles. Here comes the interview of Abhishek Jain, who interned in this summer at Accenture. (2017)
Accenture is one of the largest global management & IT consulting firms in the world. It mainly offers services in strategy, consulting, digital, technology and operations. Last year they hired 3 UG (2 Economics and 1 MnC) interns for Accenture Digital. Accenture Digital provides digital marketing, analytics and mobility services. According to the project requirement, interns are assigned either to Gurgaon or Bangalore.
As mentioned in the CDC info provided by Accenture, shortlisting of students will be resume based (around 40 last year) followed by GD. There were 3-4 rounds of interview inclusive of the HR round at the end.
My first interview was casual where they asked puzzles, guesstimates, probability, statistics and few questions from the resume. The interviewer mainly looks at your problem solving approach and not give much emphasis on whether you get the correct answer or not.
My second round interview comprised of questions which were presentation based taken by the presenter herself, a few questions from the resume and a simple guesstimate case. Though I was a bit late (25-30 min) for the presentation but I attended her part and survived through by asking cross questions in the interview. So, don’t miss the presentation at any cost.
The Third round interview lasted for about 45-50 minutes. The interviewer asked everything from the resume excluding the POR & Extra acads section besides few puzzles, guesstimate and a regression modelling problem. I had to explain him each and every previous interns and term projects, technique used and other related things.
Last but not the least is HR interview. Just prepare and practice standard HR questions maintaining your originality. Do not copy. They discuss about your hometown, KGP life, so called PORs and extra acads, your strengths, weaknesses, situation problem and finally why Accenture or rather why should they select you- kind of questions!
Puzzles- Heard on the Street
Guesstimate- Any good book will do (basic level)
Case prep- Victor Cheng videos and Case in Point (just basic level)
Courses- Probability and Statistics, Regression and Time Series modelling
(Optional-Machine Learning, AI modelling, Optimization techniques)
You should know the basics of MS Excel, R/Python/SAS/SQL (any one)
My project mainly involves developing and designing R-Excel tools for the US Telecomm client (like an offer assessment tool that unveils the top non performing offers out of 400+ available ones).I have to extract, integrate and aggregate the data along with formulating the right scoring methodology for getting the tool ready with designed Excel UI. I have learnt and used R, VBA & macro in Excel while working on the tool. Every week I had to present the new/updated tool to my team and then to the client. With every presentation I left with the next client expectations (which came as a challenge). But in the process I learnt a lot.
This is one of the best parts of working at Accenture as they give you time, space and resources required to learn and explore. They will assign you a buddy right from the beginning who will be in touch with you throughout the internship and guide you through whenever and wherever required. You will also get a R/Python/SAS and ML basic level training. No hectic working hours, provided you meet the deadlines. Off on Saturdays and Sundays.
Who should apply?
Anyone who is willing to get into the data analytics cum consulting field should apply. You should have a strong grip on Probability & Statistics and Regression & Time Series Modelling along with good understanding of MS Excel, R or Python. Good communication and presentation skills are a must.
The assigned project will not be much difficult and can be client specific or for Accenture internal use. Your internship works’ future use & further implementation depends solely on the project output and how easily it can be integrated with previous tools along with your untiring effort. Finally, seeing the trend of the last few years Economics and MnC students have a very good opportunity in getting the internship out here.
All the best!