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MasterCard Data Science Intern Interview Questions and Answers

Updated 17 Jan 2025

MasterCard Data Science Intern Interview Experiences

1 interview found

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

General DSA with some ds questions

Round 2 - One-on-one 

(3 Questions)

  • Q1. Walk through resume
  • Q2. Reverse linked list
  • Q3. Use of oops in some cases

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
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 - Case Study 

We were trained for 2 weeks on web dev. and data science and were given individual 2 projects, according to the performance on them and a final interview, candidates were selected.

Round 3 - One-on-one 

(2 Questions)

  • Q1. All about the assignment done
  • Q2. Your interest and particular domain you want to work in

Interview Preparation Tips

Interview preparation tips for other job seekers - Complete the assignment perfectly, dont try to achieve best accuracy, but you should know whats there in the code.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Sep 2024. There were 5 interview rounds.

Round 1 - Coding Test 

1 python and 1 SQL coding along with ML questions mostly related to monitoring and basic ML

Round 2 - Coding Test 

1 python code and also related to ML ...the recruiter came with a dataset to solve

Round 3 - Case Study 

Guestimates, project discussions and Case Studies

Round 4 - Case Study 

Project indepth discussion and case study related Fraud Detection

Round 5 - Behavioral interview 

(1 Question)

  • Q1. Aligning own interest with team requirement
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Discussion on linear regression and regularisation techniques
  • Q2. Discussion on tree based models and measures to score the models

Interview Preparation Tips

Topics to prepare for Paytm Data Scientist interview:
  • Regression
  • Machine Learning
Interview preparation tips for other job seekers - Prepare core definitions and theory for data science properly including maths and equations in details.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. DBSCAN Clustering
  • Q2. How does current work helps solving use cases for PayU
  • Ans. 

    My current work involves analyzing transaction data to identify patterns and trends, which can help PayU optimize their payment processing services.

    • Analyzing transaction data to identify fraudulent activities and improve security measures for PayU

    • Developing predictive models to forecast transaction volumes and optimize payment processing times

    • Utilizing machine learning algorithms to personalize user experiences and inc...

  • Answered by AI
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Details about past projects
  • Q2. Details about latest project

Interview Preparation Tips

Interview preparation tips for other job seekers - Be good in comm skills
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed before Jul 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. ML algorithms and basic python coding
Round 2 - Technical 

(1 Question)

  • Q1. SQL and Project related
Round 3 - HR 

(1 Question)

  • Q1. Salary discussion
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Case Study 

We were trained for 2 weeks on web dev. and data science and were given individual 2 projects, according to the performance on them and a final interview, candidates were selected.

Round 3 - One-on-one 

(2 Questions)

  • Q1. All about the assignment done
  • Q2. Your interest and particular domain you want to work in

Interview Preparation Tips

Interview preparation tips for other job seekers - Complete the assignment perfectly, dont try to achieve best accuracy, but you should know whats there in the code.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. SQL and background related questions
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. What is deep learning?
  • Ans. 

    Deep learning is a subset of machine learning that uses neural networks to learn from data.

    • Deep learning involves training neural networks with large amounts of data to make predictions or decisions.

    • It is used in image recognition, natural language processing, and speech recognition.

    • Deep learning models can automatically learn to extract features from raw data.

    • It requires a lot of computational power and data to train ...

  • Answered by AI
  • Q2. Advanced Branch of ai
  • Ans. 

    Reinforcement Learning is an advanced branch of AI that involves training agents to make decisions based on rewards and punishments.

    • Reinforcement Learning involves an agent interacting with an environment and learning from the rewards and punishments it receives.

    • It has been used in various applications such as game playing, robotics, and recommendation systems.

    • Some popular algorithms in Reinforcement Learning include Q...

  • Answered by AI
Round 3 - One-on-one 

(2 Questions)

  • Q1. Expected salary
  • Q2. Shared the salary as needed

Skills evaluated in this interview

MasterCard Interview FAQs

How many rounds are there in MasterCard Data Science Intern interview?
MasterCard interview process usually has 2 rounds. The most common rounds in the MasterCard interview process are Coding Test and One-on-one Round.
What are the top questions asked in MasterCard Data Science Intern interview?

Some of the top questions asked at the MasterCard Data Science Intern interview -

  1. Use of oops in some ca...read more
  2. Reverse linked l...read more

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MasterCard Data Science Intern Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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