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Accenture Data Science Analyst Interview Questions, Process, and Tips

Updated 9 May 2024

Top Accenture Data Science Analyst Interview Questions and Answers

  • Q1. How to analyse a problem : Suppose a pizza chain comes to you and tells you that certain of their outlets are performing poorly aftrr the pandemic. Where do you start wit ...read more
  • Q2. What is PII, give some examples
  • Q3. What is normalization and standardization
View all 8 questions

Accenture Data Science Analyst Interview Experiences

11 interviews found

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Selected Selected

I applied via Campus Placement and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Experience with python, sql, powerbi
  • Ans. 

    Proficient in Python, SQL, and PowerBI for data analysis and visualization.

    • Extensive experience using Python for data manipulation and analysis

    • Strong SQL skills for querying databases and extracting relevant information

    • Proficient in creating interactive dashboards and reports using PowerBI

    • Ability to integrate Python scripts with PowerBI for advanced analytics

    • Experience in data visualization techniques to communicate in

  • Answered by AI
Round 2 - Technical 

(3 Questions)

  • Q1. SQL join, table, view concepts, Python basics for EDA, Missing value treatment
  • Q2. Data transformation
  • Q3. Write code to find anagram
  • Ans. 

    Code to find anagrams in an array of strings

    • Iterate through the array of strings

    • Sort each string alphabetically

    • Check if the sorted strings are equal to identify anagrams

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before May 2023. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Python list addition
  • Q2. Simple sql query questions

Data Science Analyst Interview Questions Asked at Other Companies

asked in Accenture
Q1. How to analyse a problem : Suppose a pizza chain comes to you and ... read more
Q2. Whats the evaluation mertics for classification and regression mo ... read more
Q3. Can we use logistic regression for multi class classification ?
Q4. What are decision Trees and All the algorithms that you have used ... read more
asked in Accenture
Q5. What is PII, give some examples
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Apr 2023. There were 2 interview rounds.

Round 1 - Case Study 

Asked some puzzles and guesstimate questions

Round 2 - Technical 

(1 Question)

  • Q1. Asked questions related to past projects

Interview Questionnaire 

5 Questions

  • Q1. What is precision and recall?
  • Ans. 

    Precision and recall are two metrics used to evaluate the performance of a classification model.

    • Precision measures the proportion of true positives among all positive predictions.

    • Recall measures the proportion of true positives among all actual positives.

    • Both metrics are important in different scenarios, depending on the cost of false positives and false negatives.

    • For example, in a medical diagnosis scenario, recall ma...

  • Answered by AI
  • Q2. What is normalization and standardization
  • Ans. 

    Normalization and standardization are techniques used to transform data into a common scale.

    • Normalization scales the data between 0 and 1, making it easier to compare different features.

    • Standardization transforms the data to have a mean of 0 and standard deviation of 1, making it easier to compare different samples.

    • Normalization is useful when the scale of the features varies widely, while standardization is useful whe...

  • Answered by AI
  • Q3. What is variance and standard deviation
  • Ans. 

    Variance and standard deviation are measures of spread or dispersion of a dataset.

    • Variance is the average of the squared differences from the mean.

    • Standard deviation is the square root of variance.

    • They are used to understand the distribution of data and to compare different datasets.

    • Higher variance or standard deviation indicates more spread or variability in the data.

    • Lower variance or standard deviation indicates less

  • Answered by AI
  • Q4. Tell me about your project
  • Q5. SQL questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Python, SQL and Statistics

Skills evaluated in this interview

Accenture interview questions for designations

 Data Science Consultant

 (8)

 Data Science Manager

 (3)

 Data Science Engineer

 (2)

 Data Science Intern

 (1)

 Data Science Lead

 (1)

 Decision Science Analyst

 (1)

 Data Analyst

 (52)

 Data Engineering Analyst

 (13)

I applied via Referral and was interviewed in Aug 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. 1. Tell me about yourself. 2. Detailed discussion on M.Tech. Project. 3. Brief discussion over current company role and project. 4. You are directly communicating to customer and he/she need change in last...

Interview Preparation Tips

Topics to prepare for Accenture Data Science Analyst interview:
  • Deep Learning
  • Machine Learning
  • Python
Interview preparation tips for other job seekers - Try to focus on what you do in your project either in the company or in college. Try to have in-depth proficiency in all the techniques or algorithms applied in your project.
There are endless questions you can't predict what will be asked and what will not but the upper suggested questions will always be there.

All the very 👍

Get interview-ready with Top Accenture Interview Questions

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Nov 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all Resume tips
Round 2 - Aptitude Test 

Data Science and Machine Learning MCQS

Round 3 - Technical 

(1 Question)

  • Q1. Tell me about this project mentioned in your resume

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare basics well and be confident. use STAR format of interview answering

Data Science Analyst Jobs at Accenture

View all

I applied via Referral and was interviewed before Jul 2021. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. About SQL questions, guesstimate and a puzzle
Round 2 - Technical 

(1 Question)

  • Q1. Pharma analytics knowledge, my resume, past experience

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare resume, past experiences, SQL for data analytics role
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Dec 2021. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. 20 questions on statistics and 20 questions on ML. Level : East medium Test is online and video proctored.
Round 3 - Technical 

(2 Questions)

  • Q1. Questions on ML . Based on my experienec and what I feel I am comfortable with 1. XGBoost vs Decision Trees and related questions 2. Logistic regression and related questions. Multi class classification u...
  • Q2. How to analyse a problem : Suppose a pizza chain comes to you and tells you that certain of their outlets are performing poorly aftrr the pandemic. Where do you start with the problem and how do you approa...
  • Ans. 

    To analyze the problem of poor performance of certain pizza outlets after the pandemic, start by identifying potential factors and gathering data.

    • Identify potential factors such as changes in consumer behavior, supply chain disruptions, or local regulations

    • Gather data on sales, customer feedback, employee turnover, and operational costs

    • Analyze the data to identify patterns and correlations

    • Develop hypotheses and test th...

  • Answered by AI
Round 4 - One-on-one 

(1 Question)

  • Q1. Managerial Round. Past experinence ( expect grilling on that) What I have worked on. My profieciency in SQL, Python, R. Also Excel , Powerpoint etc. ( Being honest helps. I told them directly that I can wo...

Interview Preparation Tips

Topics to prepare for Accenture Data Science Analyst interview:
  • Statistics
  • Machine Learning
  • Python
  • R
  • Advanced Excel
  • Powerpoint
  • SQL
Interview preparation tips for other job seekers - Salary expectations, what to expect from the job, location expectations if any what my career path is etc. No questions were asked as such, except like if I was happy with the role , location etc provided.
Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Mar 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. Normal CV related & scenario based questions were asked.
Round 3 - Technical 

(1 Question)

  • Q1. Senior Manager round. Again, CV based & basic skill based questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - You don't have to worry too much about getting into a service based firm. Just deal with the HR & keep your candidature alive by follow-ups if required.

I applied via Naukri.com and was interviewed before Aug 2021. There were 3 interview rounds.

Round 1 - One-on-one 

(4 Questions)

  • Q1. Interviewer explained about the project.
  • Q2. Asked me questions related to SQL queries
  • Q3. What is PII, give some examples
  • Ans. 

    PII stands for Personally Identifiable Information. It refers to any data that can be used to identify an individual.

    • Examples of PII include name, address, phone number, email address, social security number, driver's license number, passport number, and date of birth.

    • PII can also include biometric data such as fingerprints or facial recognition data.

    • It is important to protect PII to prevent identity theft and other fo

  • Answered by AI
  • Q4. Proficiency with python
  • Ans. 

    Proficient in Python with experience in data analysis and visualization.

    • Experience in using Python libraries such as Pandas, NumPy, and Matplotlib.

    • Ability to write efficient and optimized code for data manipulation and analysis.

    • Familiarity with machine learning algorithms and their implementation in Python.

    • Experience in web scraping and data extraction using Python.

    • Proficient in using Jupyter Notebook for data analysis

  • Answered by AI
Round 2 - One-on-one 

(2 Questions)

  • Q1. Discussion with Senior manager Questions on personality
  • Q2. Location restrictions
Round 3 - HR 

(1 Question)

  • Q1. Salary and location discussions

Interview Preparation Tips

Topics to prepare for Accenture Data Science Analyst interview:
  • SQL
  • Secondary Research
Interview preparation tips for other job seekers - Check for which designation you are eligible and what company is giving to you.
They will try to bring you on lower designation.

Also check with MAL score with them
MAL - months at level

If you are lateral hire, they can and should provide you some score instead of 0.

MAL score becomes a blocker in your promotion

Skills evaluated in this interview

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Accenture Interview FAQs

How many rounds are there in Accenture Data Science Analyst interview?
Accenture interview process usually has 2-3 rounds. The most common rounds in the Accenture interview process are Technical, One-on-one Round and Resume Shortlist.
How to prepare for Accenture Data Science Analyst interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Accenture. The most common topics and skills that interviewers at Accenture expect are Data Science, Python, SQL, Artificial Intelligence and Machine Learning.
What are the top questions asked in Accenture Data Science Analyst interview?

Some of the top questions asked at the Accenture Data Science Analyst interview -

  1. How to analyse a problem : Suppose a pizza chain comes to you and tells you tha...read more
  2. What is PII, give some examp...read more
  3. What is normalization and standardizat...read more

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Accenture Data Science Analyst Interview Process

based on 8 interviews

3 Interview rounds

  • Resume Shortlist Round
  • Technical Round - 1
  • Technical Round - 2
View more

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Accenture Data Science Analyst Salary
based on 578 salaries
₹7.2 L/yr - ₹22 L/yr
17% more than the average Data Science Analyst Salary in India
View more details

Accenture Data Science Analyst Reviews and Ratings

based on 55 reviews

3.3/5

Rating in categories

3.3

Skill development

3.3

Work-life balance

3.0

Salary

3.5

Job security

3.2

Company culture

2.4

Promotions

2.7

Work satisfaction

Explore 55 Reviews and Ratings
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