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Tata Group Data Science Engineer Interview Questions and Answers

Updated 16 Feb 2023

Tata Group Data Science Engineer Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Selected Selected
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 

(3 Questions)

  • Q1. Always prepare projects u have worked on in STAR format.
  • Q2. Tell me about yourself .
  • Q3. Explain any 4 projects in STAR format
  • Ans. 

    Developed a recommendation system for an e-commerce website

    • Used collaborative filtering to recommend products to users

    • Implemented the system using Python and Apache Spark

    • Evaluated the system's performance using precision and recall metrics

    • Improved the system's performance by incorporating user feedback

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep your answers in structural way.
And explain projects in STAR format.

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Difference between fact and figure.
  • Ans. 

    Fact is a statement that can be proven true or false, while figure is a numerical value or statistic.

    • Fact is a statement that can be verified or proven true or false.

    • Figure is a numerical value or statistic.

    • Facts are objective and can be verified through evidence or research.

    • Figures are quantitative data used to represent information.

    • Example: 'The sky is blue' is a fact, while 'The average temperature is 25 degrees Cel

  • Answered by AI
  • Q2. Explain data modelling
  • Ans. 

    Data modelling is the process of creating a visual representation of data to understand its structure, relationships, and patterns.

    • Data modelling involves identifying entities, attributes, and relationships in a dataset.

    • It helps in organizing data in a way that is easy to understand and analyze.

    • Common data modelling techniques include Entity-Relationship (ER) diagrams and UML diagrams.

    • Data modelling is essential for da...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Coding Test 

2 coding questions asked in python

Round 2 - Technical 

(2 Questions)

  • Q1. Basic ML algorithms
  • Q2. Deep learning based questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Study well the basics and projects
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Python basics on data operations
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed in Oct 2023. There were 4 interview rounds.

Round 1 - Coding Test 

Coding test is important

Round 2 - Coding Test 

Most important in coding test

Round 3 - Group Discussion 

Group discussion is share the projects many people one idea

Round 4 - HR 

(1 Question)

  • Q1. Last round in HR round in salary details joining in company

Data Science Engineer Interview Questions & Answers

Cognizant user image Aila Chanakya Darahas

posted on 16 Feb 2024

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Good execellnt and well done

Round 2 - HR 

(2 Questions)

  • Q1. Tell me your self
  • Q2. Tell me why cogniznt

Data Science Engineer Interview Questions & Answers

IBM user image Arunanshu Chakraborty

posted on 21 Jul 2021

I applied via Recruitment Consultant and was interviewed in Jan 2021. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Data Engineering questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared properly
Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I was interviewed in Oct 2024.

Round 1 - Technical 

(1 Question)

  • Q1. Project related questions from your CV
Round 2 - Technical 

(2 Questions)

  • Q1. Question on transformers
  • Q2. Comparison of transfer learning and fintuning.
  • Ans. 

    Transfer learning involves using pre-trained models on a different task, while fine-tuning involves further training a pre-trained model on a specific task.

    • Transfer learning uses knowledge gained from one task to improve learning on a different task.

    • Fine-tuning involves adjusting the parameters of a pre-trained model to better fit a specific task.

    • Transfer learning is faster and requires less data compared to training a...

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Gave one easy question and asked what will be the output
  • Q2. Leetcode 2 sum question

Interview Preparation Tips

Interview preparation tips for other job seekers - I was pretty much sure that I would pass L1 round and hoping for L2 round. I was interviewing for Generative AI Engineer. It was full 1 hr. The interviewer was less experienced than me. He asked me about my current work and focused more on previous work. I gave 80% correct answers and still did not make it. Don't know what they were expecting from me. Then I thought, maybe they are just taking the interview for the name sake. Sometimes, rejections are baseless.
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

Tata Group Interview FAQs

How many rounds are there in Tata Group Data Science Engineer interview?
Tata Group interview process usually has 2 rounds. The most common rounds in the Tata Group interview process are Resume Shortlist and One-on-one Round.

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Tata Group Data Science Engineer Interview Process

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Interview experience

4
  
Good
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