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Kotak Mahindra Bank Data Scientist Interview Questions and Answers

Updated 18 Jul 2024

Kotak Mahindra Bank Data Scientist Interview Experiences

1 interview found

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

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

(1 Question)

  • Q1. What do you do if your model has higher false positives
  • Ans. 

    Investigate the model performance metrics and adjust the threshold for classification.

    • Analyze the confusion matrix to understand the distribution of false positives.

    • Adjust the threshold for classification to reduce false positives.

    • Consider using different evaluation metrics like precision, recall, and F1 score.

    • Explore feature importance to identify variables contributing to false positives.

  • Answered by AI

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
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
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

Kotak Mahindra Bank Interview FAQs

How many rounds are there in Kotak Mahindra Bank Data Scientist interview?
Kotak Mahindra Bank interview process usually has 2 rounds. The most common rounds in the Kotak Mahindra Bank interview process are Coding Test and One-on-one Round.
How to prepare for Kotak Mahindra 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 Kotak Mahindra Bank. The most common topics and skills that interviewers at Kotak Mahindra Bank expect are Predictive Modeling, Python, SAS, Analytics and Data Analytics.

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Kotak Mahindra Bank Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
Kotak Mahindra Bank Data Scientist Salary
based on 58 salaries
₹6 L/yr - ₹24 L/yr
At par with the average Data Scientist Salary in India
View more details

Kotak Mahindra Bank Data Scientist Reviews and Ratings

based on 6 reviews

4.1/5

Rating in categories

2.6

Skill development

4.3

Work-life balance

2.3

Salary

3.6

Job security

3.9

Company culture

2.4

Promotions

2.9

Work satisfaction

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