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Accenture Senior Data Scientist Interview Questions and Answers

Updated 7 Aug 2025

7 Interview questions

A Senior Data Scientist was asked 1d ago
Q. Explain decorator.
Ans. 

A decorator is a design pattern in Python that allows modifying the behavior of functions or methods at runtime.

  • Decorators are functions that take another function as an argument and extend its behavior without modifying it.

  • They are often used for logging, access control, and instrumentation.

  • Example: @staticmethod and @classmethod are built-in decorators in Python.

  • Custom decorator example: def my_decorator(func)...

A Senior Data Scientist was asked 4mo ago
Q. What is big data?
Ans. 

Big data refers to large, complex datasets that traditional data processing software cannot manage efficiently.

  • Volume: Refers to the vast amounts of data generated daily, e.g., social media posts, sensor data.

  • Velocity: The speed at which data is generated and processed, e.g., real-time data from IoT devices.

  • Variety: The different types of data, including structured, semi-structured, and unstructured data, e.g., te...

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Q1. In SQL, how would you print rows where a certain criterion is met ... read more
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Q2. Count all pairs of numbers from a list where the ending digit of ... read more
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Q4. Given the dictionary CSK = {"Dhoni" : "India", "Du Plessis" : "So ... read more
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Q5. Given three lists arr1, arr2, and arr3, find the common elements ... read more
A Senior Data Scientist was asked 12mo ago
Q. How do you handle small datasets for regression problems?
Ans. 

Use techniques like regularization, feature selection, cross-validation, and data augmentation.

  • Utilize regularization techniques like Lasso or Ridge regression to prevent overfitting.

  • Perform feature selection to focus on the most important variables and reduce noise.

  • Use cross-validation to assess model performance and generalizability.

  • Consider data augmentation techniques like synthetic data generation or bootstra...

🔥 Asked by recruiter 3 times
A Senior Data Scientist was asked
Q. What is a lambda function in Python?
Ans. 

Lambda function is an anonymous function in Python that can take any number of arguments and can only have one expression.

  • Lambda functions are defined using the keyword 'lambda'.

  • They are commonly used with built-in functions like filter(), map(), and reduce().

  • Lambda functions can be used to create small, throwaway functions that are not needed elsewhere in the code.

  • They are often used to write more concise and rea...

What people are saying about Accenture

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a cyber security analyst
1w
Disappointed with the Candidate Experience at Accenture
I recently interviewed at Accenture for a Security Architect role. I cleared two rounds of technical interviews and was later told by the HR (verbally) that I was selected and that my offer letter would be released soon. Based on that confirmation, I submitted all required documents and waited patiently for nearly a month. Despite following up multiple times, there was no proper communication or update. My application status remained “Active” on the portal the entire time. Eventually, I received a rejection email with no explanation, feedback, or context, despite being verbally told that I was selected. it’s disappointing when a candidate is given verbal assurance and kept waiting without clarity. I expected more transparent from a company of Accenture’s reputation. If anyone from Accenture here could help me understand what might have happened or possibly refer me for any similar openings in the Security Architect / Data Encryption/ key management, I’d be genuinely grateful.
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Ask anonymously on communities.
A Senior Data Scientist was asked
Q. Explain BERT Model Architecture and It differs form GPT
Ans. 

BERT is a bidirectional transformer model for pre-training language representations, while GPT is a generative model.

  • BERT is a pre-training model that learns contextual representations of words by considering both left and right context.

  • GPT is a generative model that uses a transformer decoder to generate text based on the context.

  • BERT is bidirectional, meaning it can understand the context of a word by looking at...

What are the roles & responsibilities of a Senior Data Scientist at Accenture?

Data Analysis & Reporting

  • Analyze social media activities and customer behavior
  • Create regular reports and dashboards to share performance trends

Read full roles & responsibilities

A Senior Data Scientist was asked
Q. What is p value? What is spacy, NLP, NER model?
Ans. 

p value is a statistical measure that helps determine the significance of a hypothesis test.

  • p value is the probability of obtaining a result as extreme or more extreme than the observed result, assuming the null hypothesis is true.

  • A p value of less than 0.05 is considered statistically significant.

  • Spacy is an open-source software library for advanced natural language processing (NLP).

  • NLP is a field of study that f...

Accenture HR Interview Questions

1.3k questions and answers

Q. Can you explain your past experiences and how you can contribute to the org ... read more
Q. Which company conducted your interview?
Q. Where do you envision yourself in the next three years?
A Senior Data Scientist was asked 4mo ago
Q. What is AI and ML
Ans. 

AI simulates human intelligence in machines; ML enables them to learn from data and improve over time.

  • AI (Artificial Intelligence) refers to the simulation of human intelligence in machines.

  • ML (Machine Learning) is a subset of AI that focuses on algorithms that learn from data.

  • Examples of AI include virtual assistants like Siri and Alexa.

  • Examples of ML include recommendation systems like those used by Netflix and ...

Are these interview questions helpful?

Accenture Senior Data Scientist Interview Experiences

8 interviews found

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

I applied via Company Website and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Technical 

(4 Questions)

  • Q1. Question From Regression, classification and clustering Algorithm.
  • Q2. Bagging and boosting
  • Q3. How to handel less dataset for regression problems
  • Ans. 

    Use techniques like regularization, feature selection, cross-validation, and data augmentation.

    • Utilize regularization techniques like Lasso or Ridge regression to prevent overfitting.

    • Perform feature selection to focus on the most important variables and reduce noise.

    • Use cross-validation to assess model performance and generalizability.

    • Consider data augmentation techniques like synthetic data generation or bootstrapping...

  • Answered by AI
  • Q4. Python Coding and some scenario based ML question.
Round 2 - One-on-one 

(2 Questions)

  • Q1. Question from My project and mentioned skills in resume
  • Q2. How will you lead team and what your ways.
  • Ans. 

    I will lead by setting clear goals, providing guidance, fostering collaboration, and recognizing team achievements.

    • Set clear goals and expectations for the team

    • Provide guidance and support to team members

    • Foster collaboration and communication within the team

    • Recognize and reward team achievements

    • Lead by example and demonstrate strong work ethic

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Salary and Notice period

Interview Preparation Tips

Interview preparation tips for other job seekers - Be crips in your resume and have good confidence to express yourself.

Skills evaluated in this interview

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

I appeared for an interview in Sep 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. Transformer Architecture
  • Q2. Past projects worked on
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
  • Q1. What is big data
  • Q2. What is AI and ML
  • Ans. 

    AI simulates human intelligence in machines; ML enables them to learn from data and improve over time.

    • AI (Artificial Intelligence) refers to the simulation of human intelligence in machines.

    • ML (Machine Learning) is a subset of AI that focuses on algorithms that learn from data.

    • Examples of AI include virtual assistants like Siri and Alexa.

    • Examples of ML include recommendation systems like those used by Netflix and Amazo...

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
  • Q1. Was about different ML algos
  • Q2. Regarding use cases , past expe
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview before Aug 2024, where I was asked the following questions.

  • Q1. Explain decorator
  • Ans. 

    A decorator is a design pattern in Python that allows modifying the behavior of functions or methods at runtime.

    • Decorators are functions that take another function as an argument and extend its behavior without modifying it.

    • They are often used for logging, access control, and instrumentation.

    • Example: @staticmethod and @classmethod are built-in decorators in Python.

    • Custom decorator example: def my_decorator(func): ...

  • Answered by AI
  • Q2. NLP based questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Explain BERT Model Architecture and It differs form GPT
  • Ans. 

    BERT is a bidirectional transformer model for pre-training language representations, while GPT is a generative model.

    • BERT is a pre-training model that learns contextual representations of words by considering both left and right context.

    • GPT is a generative model that uses a transformer decoder to generate text based on the context.

    • BERT is bidirectional, meaning it can understand the context of a word by looking at both...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Know your Project well , what are problem you faced how you solved them techniques used concept behind the technique

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Apr 2023. 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 tips
Round 2 - Technical 

(1 Question)

  • Q1. 1. 2 python coding questions. First one was to find common elements between given 2 arrays. Second was to reverse the string and return back. 2. Discussions on project, Machine learning, Deep learning conc...
Round 3 - Technical 

(1 Question)

  • Q1. 1.Discussions on project, one case study given related to data science and other behavioral questions asked.

Interview Preparation Tips

Interview preparation tips for other job seekers - 1.Have good understanding of basic python, SQL will suffice.
2.Have a good grasp on project you have done.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Dec 2021. There were 2 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 tips
Round 2 - Technical 

(2 Questions)

  • Q1. What is p value? What is spacy, NLP, NER model?
  • Ans. 

    p value is a statistical measure that helps determine the significance of a hypothesis test.

    • p value is the probability of obtaining a result as extreme or more extreme than the observed result, assuming the null hypothesis is true.

    • A p value of less than 0.05 is considered statistically significant.

    • Spacy is an open-source software library for advanced natural language processing (NLP).

    • NLP is a field of study that focuse...

  • Answered by AI
  • Q2. What is lamda function in python?

Interview Preparation Tips

Interview preparation tips for other job seekers - If your basics are strong you can clear technical rpund.

Skills evaluated in this interview

Interview questions from similar companies

I applied via Walk-in and was interviewed before Dec 2020. There was 1 interview round.

Interview Questionnaire 

2 Questions

  • Q1. How to create LVM
  • Q2. We will extend using pvcreate,vgextend,lvextend

Interview Preparation Tips

Interview preparation tips for other job seekers - Attend clearly with your basics for L2 also

Skills evaluated in this interview

Senior Analyst Interview Questions & Answers

Capgemini user image NITIN KSHIRSAGAR

posted on 10 Sep 2020

I applied via Naukri.com and was interviewed before Sep 2019. There were 3 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. Technology Specific Questions like Java, Salesforce
  • Q2. OOPS Concepts
  • Q3. Spring Framework
  • Q4. Previous Project Related

Interview Preparation Tips

Interview preparation tips for other job seekers - Try to be at the top in a field for which you are preparing for an interview. Clear all your basics. Knowledge is what will bring confidence while facing any kind of Interview. Believe in yourself and your efforts and try to be honest all the time

Accenture Interview FAQs

How many rounds are there in Accenture Senior Data Scientist interview?
Accenture interview process usually has 2 rounds. The most common rounds in the Accenture interview process are Technical, Resume Shortlist and One-on-one Round.
How to prepare for Accenture Senior Data Scientist 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 Analysis, Data Mining, Python, SQL and Business Solutions.
What are the top questions asked in Accenture Senior Data Scientist interview?

Some of the top questions asked at the Accenture Senior Data Scientist interview -

  1. 1.Discussions on project, one case study given related to data science and othe...read more
  2. How to handel less dataset for regression probl...read more
  3. What is lamda function in pyth...read more

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Overall Interview Experience Rating

4.5/5

based on 11 interview experiences

Difficulty level

Easy 17%
Moderate 83%

Duration

Less than 2 weeks 40%
2-4 weeks 60%
View more
Accenture Senior Data Scientist Salary
based on 241 salaries
₹13.2 L/yr - ₹24.9 L/yr
37% less than the average Senior Data Scientist Salary in India
View more details

Accenture Senior Data Scientist Reviews and Ratings

based on 10 reviews

4.0/5

Rating in categories

3.9

Skill development

4.2

Work-life balance

3.1

Salary

4.0

Job security

3.8

Company culture

2.2

Promotions

3.7

Work satisfaction

Explore 10 Reviews and Ratings
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