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ICICI Bank Data Scientist Interview Questions and Answers

Updated 25 Mar 2024

ICICI Bank Data Scientist Interview Experiences

2 interviews found

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

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 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

Data Scientist Interview Questions Asked at Other Companies

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Interview questions from similar companies

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 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
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
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Logistic regression loss function
  • Q2. Step function in ML context
  • Ans. 

    Step function is a function that returns a constant value for a certain range of inputs.

    • In machine learning, step functions are used as activation functions in neural networks.

    • They are typically used in binary classification problems where the output is either 0 or 1.

    • Examples include Heaviside step function and sigmoid step function.

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Dec 2022. There were 4 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 - Aptitude Test 

Hard level aptitude questions... Time taking sums

Round 3 - Technical 

(2 Questions)

  • Q1. Puzzles and probability questions
  • Q2. Asking completely about data science projects in your resume
Round 4 - HR 

(2 Questions)

  • Q1. Just asked some puzzle questions
  • Q2. Asked if iam willing to relocate and about my family

Interview Preparation Tips

Topics to prepare for IDFC FIRST Bank Data Scientist interview:
  • Data Science
Interview preparation tips for other job seekers - Be strong on your resume and probability questions also with puzzles
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
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
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.
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

ICICI Bank Interview FAQs

How many rounds are there in ICICI Bank Data Scientist interview?
ICICI Bank interview process usually has 2-3 rounds. The most common rounds in the ICICI Bank interview process are Technical, Resume Shortlist and Coding Test.
How to prepare for ICICI 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 ICICI Bank. The most common topics and skills that interviewers at ICICI Bank expect are Data Science, Python, R, SQL and Data Analytics.
What are the top questions asked in ICICI Bank Data Scientist interview?

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

  1. They asked questions in the interview Including Python, Machine learning, SQL, ...read more
  2. Basic questions based on cv. Questions based on python,SQL,ML algorit...read more

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ICICI Bank Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
ICICI Bank Data Scientist Salary
based on 70 salaries
₹7.2 L/yr - ₹25 L/yr
5% more than the average Data Scientist Salary in India
View more details

ICICI Bank Data Scientist Reviews and Ratings

based on 4 reviews

3.3/5

Rating in categories

3.3

Skill development

3.7

Work-life balance

3.3

Salary

4.0

Job security

3.4

Company culture

3.0

Promotions

3.0

Work satisfaction

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