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KPMG India Data Scientist Interview Questions and Answers

Updated 17 Jan 2025

KPMG India Data Scientist Interview Experiences

2 interviews found

Data Scientist Interview Questions & Answers

user image Preeti Hegde

posted on 17 Jan 2025

Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. What is Linear regression
  • Ans. 

    Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

    • Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

    • It assumes a linear relationship between the independent and dependent variables.

    • The goal of linear regression is to find the best-fitting line that minimi...

  • Answered by AI
  • Q2. What li list and tuple
  • Ans. 

    List and tuple are both data structures in Python, but list is mutable while tuple is immutable.

    • List is denoted by square brackets [] while tuple is denoted by parentheses ().

    • Elements in a list can be changed, added, or removed, while elements in a tuple cannot be changed once defined.

    • Lists are used when you need a collection of items that may change, while tuples are used for fixed collections of items.

    • Example: list =

  • Answered by AI
  • Q3. Previous company project experience
  • Ans. 

    Developed a predictive analytics model to forecast customer churn for a telecom company.

    • Utilized machine learning algorithms such as logistic regression and random forests

    • Cleaned and preprocessed large datasets to improve model accuracy

    • Collaborated with cross-functional teams to gather domain knowledge and insights

  • Answered by AI
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. ML, DL, Data Science, Python
Round 2 - Technical 

(1 Question)

  • Q1. AI,ML, Data Science, Use cases

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Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I was interviewed in Oct 2024.

Round 1 - Technical 

(1 Question)

  • Q1. Project related questions from your CV
Round 2 - Technical 

(2 Questions)

  • Q1. Question on transformers
  • Q2. Comparison of transfer learning and fintuning.
  • Ans. 

    Transfer learning involves using pre-trained models on a different task, while fine-tuning involves further training a pre-trained model on a specific task.

    • Transfer learning uses knowledge gained from one task to improve learning on a different task.

    • Fine-tuning involves adjusting the parameters of a pre-trained model to better fit a specific task.

    • Transfer learning is faster and requires less data compared to training a...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I was interviewed in Jan 2025.

Round 1 - One-on-one 

(1 Question)

  • Q1. What is underfitting and overfitting? 2. what is the attention mechanism? 3. What is the difference between single-head and multi-head attention?

Interview Questionnaire 

1 Question

  • Q1. What PCA, Decision tree and computer vision
  • Ans. 

    PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.

    • PCA is used to reduce the number of variables in a dataset while retaining the most important information.

    • Decision trees are used to classify data based on a set of rules and conditions.

    • Computer vision involves usin...

  • Answered by AI

Skills evaluated in this interview

Interview Preparation Tips

Round: technical interview
Experience: There were 3 rounds, All related to statistics and machine learning and whatever stuffs I had mentioned in my resume. HR round was not there. The partner of the firm just briefed me a bit about the company and asked me to relax without asking any questions in the third round.

Tips: Interview will be fun if you are thorough about your resume and it will be a cakewalk to you.

General Tips: Do's :
1. Prepare for Aptitude very seriously. Puzzles are important but aptitude is must.
2. Be thorough about everything you had specified in your resume
3. Be honest while creating your resume (It helps a lot)

Don'ts :
1. Don't get broken if you are not getting selected in Day 1 or 2 or so.
2. Don't over-prepare for case interviews, they are fairly simple.



Final Tips :
Be confident about yourself. Your attitude in the interview matters a lot. And don't lie even a bit in your resume. Many got selected with a poor resume than those with huge exaggerations.

College Name: IIT Kanpur

I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Nothing much technical

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Go in formals
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
No response

I applied via LinkedIn

Round 1 - HR 

(1 Question)

  • Q1. Why do you want to for PWC?
Interview experience
4
Good
Difficulty level
-
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Write a prompt to extract key Personal Identifiable Information given a resume
  • Ans. 

    Extracting key Personal Identifiable Information from a resume prompt

    • Look for information such as full name, address, phone number, email address, date of birth, and social security number

    • Utilize natural language processing techniques to identify patterns and structures in the text

    • Consider using regular expressions to match specific formats of personal information

    • Ensure data privacy and security measures are in place w

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Have a good hold over basic ML and DL concepts, and then go for more complex topics like LLMs
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. About BER GPT and transformers
  • Q2. Natural language processing
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KPMG India Interview FAQs

How many rounds are there in KPMG India Data Scientist interview?
KPMG India interview process usually has 1-2 rounds. The most common rounds in the KPMG India interview process are Technical.
How to prepare for KPMG India 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 KPMG India. The most common topics and skills that interviewers at KPMG India expect are Machine Learning, Data Science, Deep Learning, Analytics and Python.
What are the top questions asked in KPMG India Data Scientist interview?

Some of the top questions asked at the KPMG India Data Scientist interview -

  1. What is Linear regress...read more
  2. What li list and tu...read more
  3. ML, DL, Data Science, Pyt...read more

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KPMG India Data Scientist Interview Process

based on 2 interviews

Interview experience

2.5
  
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KPMG India Data Scientist Salary
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₹5.6 L/yr - ₹24.8 L/yr
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