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NTT Data Data Scientist Interview Questions, Process, and Tips

Updated 27 Jun 2024

Top NTT Data Data Scientist Interview Questions and Answers

NTT Data Data Scientist Interview Experiences

4 interviews found

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
-
Result
No response

I was interviewed in May 2024.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about your self?
  • Ans. 

    I am a data scientist with a background in statistics and machine learning, passionate about solving complex problems using data-driven approaches.

    • Background in statistics and machine learning

    • Experience in data analysis and visualization

    • Strong programming skills in Python and R

    • Ability to communicate complex findings to non-technical stakeholders

  • Answered by AI
  • Q2. What is maths and stats
  • Ans. 

    Maths and stats refer to the study of mathematical concepts and statistical methods for analyzing data.

    • Maths involves the study of numbers, quantities, shapes, and patterns.

    • Stats involves collecting, analyzing, interpreting, and presenting data.

    • Maths is used to solve equations, calculate probabilities, and model real-world phenomena.

    • Stats is used to make informed decisions, draw conclusions, and test hypotheses.

    • Both ma...

  • Answered by AI
Round 2 - Coding Test 

Confusion matrix what are your job rolls explain me Gradient boosting algorithm?

Interview Preparation Tips

Interview preparation tips for other job seekers - Be very serious on every answer
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

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

Round 1 - Technical 

(3 Questions)

  • Q1. I was asked to introduce myself . I was asked A/B testing
  • Q2. ML use case implemented
  • Ans. 

    Implemented a machine learning model to predict customer churn in a telecom company.

    • Collected and cleaned customer data including usage patterns and demographics

    • Used classification algorithms like Random Forest and Logistic Regression

    • Evaluated model performance using metrics like accuracy, precision, and recall

  • Answered by AI
  • Q3. Gen AI use case implemented

Skills evaluated in this interview

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Interview Questionnaire 

1 Question

  • Q1. Diffe heilman algorithm
  • Ans. 

    Diffie-Hellman algorithm is a key exchange protocol used to securely exchange cryptographic keys over a public channel.

    • It is based on the concept of discrete logarithm problem.

    • It involves two parties, Alice and Bob, who generate their own private and public keys.

    • The public keys are exchanged and used to generate a shared secret key.

    • The shared secret key is used for encryption and decryption of messages.

    • It is widely use...

  • Answered by AI

Skills evaluated in this interview

I applied via Naukri.com and was interviewed before Jul 2021. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. NLP and Computer Vision based Question were asked.
Round 2 - Technical 

(1 Question)

  • Q1. General Questions on Machine Learning and deployments technique
Round 3 - HR 

(1 Question)

  • Q1. Salary Negotiations and joining discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview questions are subject to current project requirements

NTT Data interview questions for designations

 Business Intelligence Analyst

 (1)

 Data Analyst

 (6)

 Data Engineer

 (3)

 Data Executive

 (1)

 Data Entry Operator

 (5)

 Data Entry jobs

 (2)

 Data Center Engineer

 (1)

 Data Entry Executive

 (1)

Interview questions from similar companies

Interview Questionnaire 

2 Questions

  • Q1. Three skills required to be a good data scientist?
  • Q2. Answer: Curious , Extremely argumentative and judgemental
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
No response

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

Round 1 - Technical 

(6 Questions)

  • Q1. Which GenAI projects I have worked on
  • Q2. What is the context window in LLMs
  • Ans. 

    Context window in LLMs refers to the number of surrounding words considered when predicting the next word in a sequence.

    • Context window helps LLMs capture dependencies between words in a sentence.

    • A larger context window allows the model to consider more context but may lead to increased computational complexity.

    • For example, in a context window of 2, the model considers 2 words before and 2 words after the target word fo

  • Answered by AI
  • Q3. What is top_k parameter
  • Ans. 

    top_k parameter is used to specify the number of top elements to be returned in a result set.

    • top_k parameter is commonly used in machine learning algorithms to limit the number of predictions or recommendations.

    • For example, in recommendation systems, setting top_k=5 will return the top 5 recommended items for a user.

    • In natural language processing tasks, top_k can be used to limit the number of possible next words in a

  • Answered by AI
  • Q4. What are regex patterns in python
  • Ans. 

    Regex patterns in Python are sequences of characters that define a search pattern.

    • Regex patterns are used for pattern matching and searching in strings.

    • They are created using the 're' module in Python.

    • Examples of regex patterns include searching for email addresses, phone numbers, or specific words in a text.

  • Answered by AI
  • Q5. What are iterators and tuples
  • Ans. 

    Iterators are objects that allow iteration over a sequence of elements. Tuples are immutable sequences of elements.

    • Iterators are used to loop through elements in a collection, like lists or dictionaries

    • Tuples are similar to lists but are immutable, meaning their elements cannot be changed

    • Example of iterator: for item in list: print(item)

    • Example of tuple: my_tuple = (1, 2, 3)

  • Answered by AI
  • Q6. Do I have REST API experience
  • Ans. 

    Yes, I have experience working with REST APIs in various projects.

    • Developed RESTful APIs using Python Flask framework

    • Consumed REST APIs in data analysis projects using requests library

    • Used Postman for testing and debugging REST APIs

  • Answered by AI

Skills evaluated in this interview

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 

(1 Question)

  • Q1. Questions related to the projects that I have done and some light coding questions.
Round 3 - One-on-one 

(1 Question)

  • Q1. Questions related to my projects

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through your previous projects thoroughly
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Apr 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. What different splitting criterion are applied in decision tree. Why random forest works better ?
  • Ans. 

    Different splitting criteria in decision trees include Gini impurity, entropy, and misclassification error. Random forest works better due to ensemble learning and reducing overfitting.

    • Splitting criteria in decision trees: Gini impurity, entropy, misclassification error

    • Random forest works better due to ensemble learning and reducing overfitting

    • Random forest combines multiple decision trees to improve accuracy and gener...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. Describe the process to generate embedding on your own data set
  • Ans. 

    To generate embeddings on a data set, preprocess the data, choose a suitable embedding method, train the model, and extract the embeddings.

    • Preprocess the data by cleaning, tokenizing, and normalizing text data.

    • Choose a suitable embedding method such as Word2Vec, GloVe, or FastText.

    • Train the embedding model on the preprocessed data to learn the embeddings.

    • Extract the embeddings from the trained model to represent the da...

  • Answered by AI

Skills evaluated in this interview

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 Resume tips
Round 2 - Case Study 

Case Study for Data Analysis for marketing company

Round 3 - Group Discussion 

Group Discussion on Case Study

Round 4 - One-on-one 

(2 Questions)

  • Q1. Technical round questions about data analytics
  • Q2. Technical round about data analytics

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident!
Interview experience
5
Excellent
Difficulty level
-
Process Duration
Less than 2 weeks
Result
-

I was interviewed in Aug 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. DFA Focus :Sorting ,Searching ,Stacks,Queues, HashMaps
  • Q2. Os & cn: Process scheduling, TCP/IP, HTTP basics
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NTT Data Interview FAQs

How many rounds are there in NTT Data Data Scientist interview?
NTT Data interview process usually has 2 rounds. The most common rounds in the NTT Data interview process are Technical, HR and One-on-one Round.
How to prepare for NTT Data 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 NTT Data. The most common topics and skills that interviewers at NTT Data expect are AWS, Artificial Intelligence, Machine Learning, Managed Services and Payroll.
What are the top questions asked in NTT Data Data Scientist interview?

Some of the top questions asked at the NTT Data Data Scientist interview -

  1. What is maths and st...read more
  2. Diffe heilman algori...read more
  3. ML use case implemen...read more

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NTT Data Data Scientist Interview Process

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