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HDFC Bank Data Scientist Interview Questions, Process, and Tips

Updated 17 Dec 2024

Top HDFC Bank Data Scientist Interview Questions and Answers

HDFC Bank Data Scientist Interview Experiences

4 interviews found

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

Data Scientist Interview Questions & Answers

user image vignesh sekar

posted on 17 Dec 2024

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.

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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.

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

HDFC Bank interview questions for designations

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 (1)

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 (1)

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 (2)

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 (10)

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 (1)

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 Data Entry jobs

 (1)

Data Scientist Jobs at HDFC Bank

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Interview questions from similar companies

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
Selected Selected

I was interviewed in Mar 2023.

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 - One-on-one 

(2 Questions)

  • Q1. Python basic concepts
  • Q2. ML algorithm rule, scoring models, library details, statistics questions

Interview Preparation Tips

Interview preparation tips for other job seekers - I strictly won't recommend this company as their HR team is highly unprofessional- they'll discuss the compensation and agree on an amount, and make you wait for a month before rolling out an offer and then suddenly drop your candidature as they can't provide the discussed compensation even if it is according to industry standards.

Absolute waste of time and energy with this Company
Save yourself and find better places to work

I applied via LinkedIn and was interviewed in Oct 2021. There were 5 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Questions based on various machine learning evaluation metrics.

Interview Preparation Tips

Interview preparation tips for other job seekers - Understand the impact of COVID on the banking industry.
Read about various banking case studies.
Elaborate over your interest in banking domain if you have no prior experience in the same.

I applied via LinkedIn and was interviewed in Oct 2021. There were 5 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Various machine learning evaluation metrics
  • Ans. 

    Machine learning evaluation metrics are used to measure the performance of a model.

    • Accuracy

    • Precision

    • Recall

    • F1 Score

    • ROC Curve

    • AUC

    • Confusion Matrix

    • Mean Squared Error

    • Root Mean Squared Error

    • R-squared

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Understand the impact of COVID on the banking industry.
Read more about the banking domain case studies.
Elaborate over your interest in banking domain if you don't have prior experience in this domain.

Skills evaluated in this interview

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

I applied via Job Portal and was interviewed in Aug 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Aptitude test for about an hour.

Round 2 - One-on-one 

(2 Questions)

  • Q1. Questions related to data science were asked based on your resume. Puzzles were asked too. Mostly they were from gfg.
  • Q2. What are parameters used in a random forest.
  • Ans. 

    Parameters used in a random forest include number of trees, maximum depth of trees, minimum samples split, and maximum features.

    • Number of trees: The number of decision trees to be used in the random forest.

    • Maximum depth of trees: The maximum depth allowed for each decision tree.

    • Minimum samples split: The minimum number of samples required to split a node.

    • Maximum features: The maximum number of features to consider when

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Explain previous projects
  • Q2. Explain 2 algo of your choice

Interview Preparation Tips

Interview preparation tips for other job seekers - No tips just present yourself
Interview experience
3
Average
Difficulty level
Hard
Process Duration
2-4 weeks
Result
No response

I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(3 Questions)

  • Q1. Explain Sigmoid Function
  • Ans. 

    Sigmoid function is a mathematical function that maps any real value to a value between 0 and 1.

    • Sigmoid function is commonly used in machine learning for binary classification problems.

    • It is defined as f(x) = 1 / (1 + e^(-x)), where e is the base of the natural logarithm.

    • The output of the sigmoid function is always in the range (0, 1).

    • It is used to convert a continuous input into a probability value.

    • Example: f(0) = 0.5

  • Answered by AI
  • Q2. What is a T-test in logistic regression
  • Ans. 

    A T-test in logistic regression is used to determine the significance of individual predictor variables.

    • T-test in logistic regression is used to test the significance of individual coefficients of predictor variables.

    • It helps in determining whether a particular predictor variable has a significant impact on the outcome variable.

    • The null hypothesis in a T-test for logistic regression is that the coefficient of the predi...

  • Answered by AI
  • Q3. How to fit model to an unexplored market
  • Ans. 

    To fit a model to an unexplored market, conduct thorough market research, gather relevant data, identify key variables, test different models, and continuously iterate and refine the model.

    • Conduct thorough market research to understand the dynamics of the unexplored market

    • Gather relevant data on customer behavior, market trends, competition, etc.

    • Identify key variables that may impact the market and model outcomes

    • Test d...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for IDFC FIRST Bank Data Scientist interview:
  • Logistic Regression
  • Banking

Skills evaluated in this interview

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HDFC Bank Interview FAQs

How many rounds are there in HDFC Bank Data Scientist interview?
HDFC Bank interview process usually has 2-3 rounds. The most common rounds in the HDFC Bank interview process are One-on-one Round, Aptitude Test and Coding Test.
How to prepare for HDFC Bank 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 HDFC Bank. The most common topics and skills that interviewers at HDFC Bank expect are Python, Data Science, Machine Learning, Data Analytics and Algorithms.
What are the top questions asked in HDFC Bank Data Scientist interview?

Some of the top questions asked at the HDFC Bank Data Scientist interview -

  1. Steps of developing a credit risk mo...read more
  2. difference between xgboost and light...read more
  3. Machine learning algorith...read more

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HDFC Bank Data Scientist Interview Process

based on 4 interviews

Interview experience

4
  
Good
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HDFC Bank Data Scientist Salary
based on 137 salaries
₹9.3 L/yr - ₹29 L/yr
33% more than the average Data Scientist Salary in India
View more details

HDFC Bank Data Scientist Reviews and Ratings

based on 20 reviews

3.4/5

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3.5

Skill development

2.6

Work-life balance

3.3

Salary

4.3

Job security

2.9

Company culture

2.5

Promotions

2.9

Work satisfaction

Explore 20 Reviews and Ratings
Data Scientist

Chennai

8-13 Yrs

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