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Bajaj Finserv Data Scientist Interview Questions, Process, and Tips

Updated 6 Jan 2025

Top Bajaj Finserv Data Scientist Interview Questions and Answers

  • Q1. Special Sum of Array Problem Statement Given an array 'arr' containing single-digit integers, your task is to calculate the total sum of all its elements. However, the r ...read more
  • Q2. Clone a Linked List with Random Pointers Given a linked list where each node contains two pointers: one pointing to the next node and another random pointer that can poi ...read more
  • Q3. Machine Learning- 2 dependant and 6 independent variables are available, which algorithm we should use?

Bajaj Finserv Data Scientist Interview Experiences

5 interviews found

Data Scientist Interview Questions & Answers

user image Vaibhav Diwakar Gavli

posted on 6 Jan 2025

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

SQL & aptitude question

Round 2 - Coding Test 

1 coding question for 45 min

Round 3 - Technical 

(1 Question)

  • Q1. Detailed questing for machine learning model's.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. What is cross validation ?
  • Ans. 

    Cross validation is a technique used to assess the performance of a predictive model by splitting the data into training and testing sets multiple times.

    • Cross validation helps to evaluate how well a model generalizes to new data.

    • It involves splitting the data into k subsets, training the model on k-1 subsets, and testing it on the remaining subset.

    • Common types of cross validation include k-fold cross validation and lea...

  • Answered by AI

Skills evaluated in this interview

Data Scientist Interview Questions Asked at Other Companies

Q1. for a data with 1000 samples and 700 dimensions, how would you fi ... read more
Q2. Special Sum of Array Problem Statement Given an array 'arr' conta ... read more
asked in Affine
Q3. you have a pandas dataframe with three columns, filled with state ... read more
Q4. Clone a Linked List with Random Pointers Given a linked list wher ... read more
asked in Coforge
Q5. coding question of finding index of 2 nos. having total equal to ... read more
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in May 2023. 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 - One-on-one 

(2 Questions)

  • Q1. In depth statistics and deep learning questions.
  • Q2. Machine Learning- 2 dependant and 6 independent variables are available, which algorithm we should use?
  • Ans. 

    Use a regression algorithm like linear regression or decision tree regression.

    • Consider using linear regression if the relationship between variables is linear.

    • Decision tree regression can handle non-linear relationships between variables.

    • Evaluate the performance of different algorithms using cross-validation.

    • Consider the interpretability of the model when choosing an algorithm.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident

Skills evaluated in this interview

I was interviewed in May 2022.

Round 1 - Assignment 

Round duration - 60 Minutes
Round difficulty - Easy

Round 2 - Coding Test 

(1 Question)

Round duration - 60 Minutes
Round difficulty - Easy

There were 10 MCQs ranging from Aptitude to Programming MCQs to basics of Data Science.
The coding question only the optimized solution was accepted

  • Q1. 

    Special Sum of Array Problem Statement

    Given an array 'arr' containing single-digit integers, your task is to calculate the total sum of all its elements. However, the resulting sum must also be a single-...

Round 3 - Video Call 

(1 Question)

Round duration - 45 minutes
Round difficulty - Easy

The interview happened in the evening. It was an online video call.
The interviewer was very cooperative. I would say it was rather a discussion session between us.

  • Q1. 

    Clone a Linked List with Random Pointers

    Given a linked list where each node contains two pointers: one pointing to the next node and another random pointer that can point to any node within the list (or ...

Round 4 - HR 

Round duration - 10 Minutes
Round difficulty - Easy

It was late night
It was a telephonic call

Interview Preparation Tips

Professional and academic backgroundI completed Computer Science Engineering from Vellore Institute of Technology. I applied for the job as Data Scientist in PuneEligibility criteriaAbove 8 CGPA. Only CSE, IT, ECE, EEE branches were allowed.Bajaj Finserv Ltd. interview preparation:Topics to prepare for the interview - Data Structures and Algorithms, OOPs, DBMS, Data Science Fundamentals, Personal ProjectsTime required to prepare for the interview - 6-8 monthsInterview preparation tips for other job seekers

Tip 1 : Start your preparation early. Start from the very basics before directly moving onto DSA. Get a grasp of the basics in each topic. Practice different varieties of questions from each topic. I would recommend at least 200 questions of DSA.
Tip 2 : Revise your projects before you attend any interview. This is extremely important. You must be able to clearly explain your project along with your role in the project in layman terms to the interviewer.
Tip 3 : Grind hard to achieve your goals but don't take much stress. There's a long way to go.

Application resume tips for other job seekers

Tip 1 : Never, I say never put false things or your friends project in your resume
Tip 2 : Make a 1 page resume. Make your resume in such a way that the interviewer must be able to see the things you want him to see in the very first scan.

Final outcome of the interviewSelected

Skills evaluated in this interview

Bajaj Finserv interview questions for designations

 Senior Data Scientist

 (2)

 Data Analyst Intern

 (1)

 Business Intelligence Developer

 (1)

 Data Engineer

 (6)

 Data Analyst

 (4)

 Data Entry Operator

 (2)

 Senior Data Engineer

 (1)

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Aug 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Python test is taken

Round 2 - HR 

(1 Question)

  • Q1. Salary discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Good company with bad culture

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(4 Questions)

  • Q1. Types of Chunking in data preparation in RAG
  • Q2. How Embedding works in Vector Databases
  • Q3. Explain ARIMA model
  • Q4. How can we decide to choose Linear Regression for a business problem
Round 2 - Technical 

(4 Questions)

  • Q1. What is token and it's limit for Open Source LLMs
  • Q2. Difference of a Regression and Time Series problem
  • Q3. Advantage of LSTM over RNN
  • Q4. Performance Metrics for Logistic Regression
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Jul 2024. There were 3 interview rounds.

Round 1 - Assignment 

Assignment on credit risk

Round 2 - Technical 

(1 Question)

  • Q1. Hyperparameter tuning
Round 3 - Technical 

(1 Question)

  • Q1. Case study for problem solving
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. How do you define model Gini?
  • Ans. 

    Model Gini is a measure of statistical dispersion used to evaluate the performance of classification models.

    • Model Gini is calculated as twice the area between the ROC curve and the diagonal line (random model).

    • It ranges from 0 (worst model) to 1 (best model), with higher values indicating better model performance.

    • A Gini coefficient of 0.5 indicates a model that is no better than random guessing.

    • Commonly used in credit

  • Answered by AI
  • Q2. How to you train XG boost model
  • Ans. 

    XGBoost model is trained by specifying parameters, splitting data into training and validation sets, fitting the model, and tuning hyperparameters.

    • Specify parameters for XGBoost model such as learning rate, max depth, and number of trees

    • Split data into training and validation sets using train_test_split function

    • Fit the XGBoost model on training data using fit method

    • Tune hyperparameters using techniques like grid search

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

I was asked Python, sql, coding questions

Round 2 - Case Study 

Case study on how would you identify the total number of footfall on a airport

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
No response

I applied via Job Portal and was interviewed in Nov 2023. There was 1 interview round.

Round 1 - One-on-one 

(5 Questions)

  • Q1. What is Gradient Descents?
  • Ans. 

    Gradient descent is an optimization algorithm used to minimize a function by iteratively moving in the direction of steepest descent.

    • Gradient descent is used to find the minimum of a function by taking steps proportional to the negative of the gradient at the current point.

    • It is commonly used in machine learning to optimize the parameters of a model by minimizing the loss function.

    • There are different variants of gradie...

  • Answered by AI
  • Q2. What is LSTM?, and what are the gates in it?
  • Ans. 

    LSTM (Long Short-Term Memory) is a type of recurrent neural network designed to handle long-term dependencies.

    • LSTM has three gates: input gate, forget gate, and output gate.

    • Input gate controls the flow of information into the cell state.

    • Forget gate decides what information to discard from the cell state.

    • Output gate determines the output based on the cell state.

  • Answered by AI
  • Q3. They gave me a link to dataset and started saying the operations to apply on that. E.g, value_counts, null_values, fill the values with mean,etc.
  • Q4. What is t-test? What is Mean, Median and Mode and where to use these?
  • Ans. 

    T-test is a statistical test used to determine if there is a significant difference between the means of two groups.

    • Mean is the average of a set of numbers, median is the middle value when the numbers are ordered, and mode is the most frequently occurring value.

    • Mean is sensitive to outliers, median is robust to outliers, and mode is useful for categorical data.

    • T-test is used to compare means of two groups, mean is used...

  • Answered by AI
  • Q5. What is RANDOM FOREST ?
  • Ans. 

    Random Forest is an ensemble learning method used for classification and regression tasks.

    • Random Forest is a collection of decision trees that are trained on random subsets of the data.

    • Each tree in the forest makes a prediction, and the final prediction is the average (regression) or majority vote (classification) of all trees.

    • Random Forest helps reduce overfitting and improve accuracy compared to a single decision tre...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Motilal Oswal Financial Services Data Scientist interview:
  • Machine Learning
  • Statistics
  • Pandas

Bajaj Finserv Interview FAQs

How many rounds are there in Bajaj Finserv Data Scientist interview?
Bajaj Finserv interview process usually has 2 rounds. The most common rounds in the Bajaj Finserv interview process are One-on-one Round, Coding Test and Resume Shortlist.
How to prepare for Bajaj Finserv 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 Bajaj Finserv. The most common topics and skills that interviewers at Bajaj Finserv expect are Deep Learning, Machine Learning, Python, Analytical and Data Science.
What are the top questions asked in Bajaj Finserv Data Scientist interview?

Some of the top questions asked at the Bajaj Finserv Data Scientist interview -

  1. Machine Learning- 2 dependant and 6 independent variables are available, which ...read more
  2. What is cross validatio...read more
  3. In depth statistics and deep learning questio...read more

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Bajaj Finserv Data Scientist Interview Process

based on 4 interviews

Interview experience

3.8
  
Good
View more
Bajaj Finserv Data Scientist Salary
based on 91 salaries
₹8 L/yr - ₹20 L/yr
17% less than the average Data Scientist Salary in India
View more details

Bajaj Finserv Data Scientist Reviews and Ratings

based on 16 reviews

2.6/5

Rating in categories

2.4

Skill development

1.9

Work-life balance

3.0

Salary

3.6

Job security

2.1

Company culture

2.2

Promotions

1.9

Work satisfaction

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