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Bajaj Finance Data Scientist Interview Questions and Answers

Updated 13 Oct 2024

Bajaj Finance Data Scientist Interview Experiences

2 interviews found

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

I was a test in our college of about 45min revolving around aptitude.

Round 2 - Coding Test 

Few basic coding questions.

Round 3 - One-on-one 

(2 Questions)

  • Q1. About linear and logistic regression
  • Q2. About svm and kernels

Data Scientist Interview Questions & Answers

user image Adidas Boota

posted on 24 Jan 2024

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

(1 Question)

  • Q1. Azure Data Lake, Prediction model

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Interview questions from similar companies

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

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

Round 1 - Coding Test 

The first technical round will cover how computer vision works, including the advantages and disadvantages of regression and random forest. It will also include discussions on when to use precision and recall, methods to reduce false positives, and criteria for selecting different models. Additionally, disadvantages of PCA will be addressed, along with project-related questions. The second round will focus on standard aptitude tests, while the third round will involve a casual conversation with the Executive Vice President.

Round 2 - Aptitude Test 

Normal aptitude questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on machine learning concepts, develop strong knowledge in Python programming, and learn about PCA, clustering, cross-validation, and hyperparameter tuning.

I applied via Job Portal and was interviewed in 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 Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. Metrics and related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Quite easy if you know ml basics
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

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

Round 1 - Aptitude Test 

Test was conducted on datacamp assessments. Overall, there were three tests.
1. Stats test
2. ML test
3. Python/coding test

Round 2 - One-on-one 

(1 Question)

  • Q1. Questions on ML techniques and practices, how to handle large data in python, lots of logical questions and handling overfitting, underfitting, etc in model building.

Interview Preparation Tips

Topics to prepare for HDFC Bank Data Scientist interview:
  • machine learning
  • python
Interview preparation tips for other job seekers - Learn about ML topics and commonly faced problems.
Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - Coding Test 

If else conditions, data merging, datetime conversions, EDA on a sample data set, duplicates removal and missing value imputation

Round 2 - One-on-one 

(1 Question)

  • Q1. If you have to sell a kids account, how will you Target the customer. What features will you build?
  • Ans. 

    To target customers for a kids account, focus on features like parental controls, educational content, and interactive games.

    • Implement parental controls to assure parents of child safety online.

    • Include educational content to attract parents looking for learning opportunities.

    • Incorporate interactive games to engage children and make the account more appealing.

    • Offer rewards or incentives for completing educational activi...

  • Answered by AI

I applied via Campus Placement and was interviewed in Jan 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 - Coding Test 

Coding related objective questions

Round 3 - Technical 

(1 Question)

  • Q1. Basic questions based on cv. Questions based on python,SQL,ML algorithms

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare topics which are mentioned in cv basic knowledge in how bank's work and all that stuff
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.

Round 1 - One-on-one 

(3 Questions)

  • Q1. Machine learning algorithms.
  • Ans. 

    Machine learning algorithms are tools used to analyze data, identify patterns, and make predictions without being explicitly programmed.

    • Machine learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.

    • Examples of machine learning algorithms include linear regression, decision trees, support vector machines, and neural networks.

    • These algorithms require training data to learn patte...

  • Answered by AI
  • Q2. Credit risk life cycle
  • Q3. Pandas related questions
Round 2 - One-on-one 

(3 Questions)

  • Q1. Steps of developing a credit risk model
  • Ans. 

    Developing a credit risk model involves several steps to assess the likelihood of a borrower defaulting on a loan.

    • 1. Define the problem and objectives of the credit risk model.

    • 2. Gather relevant data such as credit history, income, debt-to-income ratio, etc.

    • 3. Preprocess the data by handling missing values, encoding categorical variables, and scaling features.

    • 4. Select a suitable machine learning algorithm such as logi...

  • Answered by AI
  • Q2. Pandas related questions
  • Q3. Bagging and Boosting
Round 3 - One-on-one 

(3 Questions)

  • Q1. Explain AIC and BIC
  • Ans. 

    AIC and BIC are statistical measures used for model selection in the context of regression analysis.

    • AIC (Akaike Information Criterion) is used to compare the goodness of fit of different models. It penalizes the model for the number of parameters used.

    • BIC (Bayesian Information Criterion) is similar to AIC but penalizes more heavily for the number of parameters, making it more suitable for model selection when the focus...

  • Answered by AI
  • Q2. Difference between xgboost and lightgbm
  • Ans. 

    XGBoost is a popular gradient boosting library while LightGBM is a faster and more memory-efficient alternative.

    • XGBoost is known for its accuracy and performance on structured/tabular data.

    • LightGBM is faster and more memory-efficient, making it suitable for large datasets.

    • LightGBM uses a histogram-based algorithm for splitting whereas XGBoost uses a level-wise tree growth strategy.

  • Answered by AI
  • Q3. Bagging and boosting

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
-
Result
Not Selected

I applied via Campus Placement and was interviewed in Aug 2023. There was 1 interview round.

Round 1 - Aptitude Test 

Apptitude + two easy level coding questions , behavioural questions,

Interview Preparation Tips

Interview preparation tips for other job seekers - round 1 : two coding questions of easy level + apptitude (english comprehensive, logical reasoning) + behavioural questions
round 2 : HR + technical combined ( asked your past experience with data handelling and tools used , asked some puzzles and gestimates)

GFG for puzzles, apptitude, english, logical resoning
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Aptitude Test 

It was okay as the interview was scheduled on time.

Round 2 - Technical 

(1 Question)

  • Q1. They asked questions in the interview Including Python, Machine learning, SQL, Power BI
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Bajaj Finance Interview FAQs

How many rounds are there in Bajaj Finance Data Scientist interview?
Bajaj Finance interview process usually has 2 rounds. The most common rounds in the Bajaj Finance interview process are One-on-one Round, Technical and Aptitude Test.
How to prepare for Bajaj Finance 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 Finance. The most common topics and skills that interviewers at Bajaj Finance expect are Computer Vision, Machine Learning, Predictive Analytics, Python and Risk Analytics.
What are the top questions asked in Bajaj Finance Data Scientist interview?

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

  1. about linear and logistic regress...read more
  2. Azure Data Lake, Prediction mo...read more
  3. about svm and kern...read more

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Bajaj Finance Data Scientist Interview Process

based on 2 interviews

Interview experience

4
  
Good
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Bajaj Finance Data Scientist Salary
based on 37 salaries
₹6.5 L/yr - ₹25 L/yr
At par with the average Data Scientist Salary in India
View more details

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based on 7 reviews

3.4/5

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3.3

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2.7

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3.4

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4.3

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3.0

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3.0

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