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TCS Lead Data Scientist Interview Questions and Answers

Updated 14 Nov 2024

TCS Lead Data Scientist Interview Experiences

2 interviews found

Lead Data Scientist Interview Questions & Answers

user image GAUTAM DADHICH

posted on 14 Nov 2024

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Nov 2023. There was 1 interview round.

Round 1 - Coding Test 

Related to python and machine learning problem only

Interview Preparation Tips

Interview preparation tips for other job seekers - Data science field is emerging and has lots of opportunities in the market
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I was interviewed before Jun 2023.

Round 1 - HR 

(2 Questions)

  • Q1. Why will you change your current organisation
  • Q2. What benefits you will bring to our organisation
Round 2 - Technical 

(2 Questions)

  • Q1. Job description
  • Q2. Day to day tasks related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Induction process is very slow. Multiple HR, thus you will not know whom to connect with.

Lead Data Scientist Interview Questions Asked at Other Companies

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Q5. Describe how a few popular machine learning algorithms work

Interview questions from similar companies

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

I applied via Naukri.com and was interviewed in Dec 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

This was good aptitude test computer based

Round 2 - Coding Test 

Coding round share screen and code

Round 3 - Technical 

(2 Questions)

  • Q1. Explains OOPs concept
  • Q2. Explain SOLID principles

Interview Preparation Tips

Interview preparation tips for other job seekers - Get your basics straight
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Coding Test 

*****, arjumpudi satyanarayana

Round 2 - Technical 

(5 Questions)

  • Q1. What is the python language
  • Ans. 

    Python is a high-level programming language known for its simplicity and readability.

    • Python is widely used for web development, data analysis, artificial intelligence, and scientific computing.

    • It emphasizes code readability and uses indentation for block delimiters.

    • Python has a large standard library and a vibrant community of developers.

    • Example: print('Hello, World!')

    • Example: import pandas as pd

  • Answered by AI
  • Q2. What is the code problems
  • Ans. 

    Code problems refer to issues or errors in the code that need to be identified and fixed.

    • Code problems can include syntax errors, logical errors, or performance issues.

    • Examples of code problems include missing semicolons, incorrect variable assignments, or inefficient algorithms.

    • Identifying and resolving code problems is a key skill for data scientists to ensure accurate and efficient data analysis.

  • Answered by AI
  • Q3. What is the python code
  • Ans. 

    Python code is a programming language used for data analysis, machine learning, and scientific computing.

    • Python code is written in a text editor or an integrated development environment (IDE)

    • Python code is executed using a Python interpreter

    • Python code can be used for data manipulation, visualization, and modeling

  • Answered by AI
  • Q4. What is the project
  • Ans. 

    The project is a machine learning model to predict customer churn for a telecommunications company.

    • Developing predictive models using machine learning algorithms

    • Analyzing customer data to identify patterns and trends

    • Evaluating model performance and making recommendations for reducing customer churn

  • Answered by AI
  • Q5. What is the lnderssip
  • Ans. 

    The question seems to be incomplete or misspelled.

    • It is possible that the interviewer made a mistake while asking the question.

    • Ask for clarification or context to provide a relevant answer.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for IBM Data Scientist interview:
  • Python
  • Machine Learning
Interview preparation tips for other job seekers - No

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(3 Questions)

  • Q1. Tell me about yourself?
  • 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 solving complex problems using data-driven approaches

    • Passionate about leveraging data to drive insights and decision-making

  • Answered by AI
  • Q2. Describe in detail about one of my main project.
  • Ans. 

    Developed a predictive model for customer churn in a telecom company.

    • Collected and cleaned customer data including usage patterns and demographics.

    • Used machine learning algorithms such as logistic regression and random forest to build the model.

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

    • Implemented the model into the company's CRM system for real-time predictions.

  • Answered by AI
  • Q3. Few questions related to my projects.
Round 2 - Technical 

(1 Question)

  • Q1. Questions on Basics python(Since i am fresher)

Interview Preparation Tips

Interview preparation tips for other job seekers - Overall, it was a good experience for me. Very friendly interviewers. I couldn't make it after the second round. I came to know where I was lacking.
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

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

I applied via Recruitment Consulltant and was interviewed in Jul 2024. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Deep questions about Machine learning, Deep learning, Generative AI, the working of transformers etc.
Round 2 - Technical 

(1 Question)

  • Q1. Deep questions about Machine learning and deep learning with projects done. This was a client round.
Round 3 - HR 

(1 Question)

  • Q1. Salary discussion, project discussion, why change? Why Wipro
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?
  • 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
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Expect technical questions as well as moderate level coding questions

Round 2 - Technical 

(1 Question)

  • Q1. Data science and MLOps concepts
Round 3 - HR 

(1 Question)

  • Q1. Behavioral and managerial rounds
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Dec 2022. There were 6 interview rounds.

Round 1 - Coding Test 

A="bala",b="Babu";
Print=A+b
O/p:
balababu

Round 2 - Aptitude Test 

Python is a computer programming language use to build up software and websites designed by Rossum appear in 20 Feb 1991
1.Numpy is a python libraries working with arrays.
2.pandas is used to read the data sets.
3.matplotlib libraries for visualisation.
4.mission learning is divided into two parts.
*Supervised learning
*Unsupervised learning
5.deep learning is used to create artificial neurons.
6.advance excel is used for graphs and calculate the whole members at same time lot of useful things that have.
7mysql is mainly used for store the data.

Round 3 - Assignment 

Python, numpy, pandas, mission learning, deep learning, basic statistics, advance excel, MySQL

Round 4 - Case Study 

Python, numpy, pandas, mission learning, deep learning, basic statistics, advance excel, MySQL

Round 5 - One-on-one 

(3 Questions)

  • Q1. Why we use mission learning Mission learning used for analysis the data's and we can able to predict and we add some additional algorithm it's mainly used for prediction and AI.
  • Ans. 

    Mission learning is used for data analysis and prediction with additional algorithms for AI.

    • Mission learning is a subset of machine learning that focuses on predicting outcomes based on data analysis.

    • It involves using algorithms to learn patterns and make predictions based on new data.

    • Examples include image recognition, natural language processing, and recommendation systems.

  • Answered by AI
  • Q2. Deep learning uses: Deep learning Mainly used for creating artificial neurons in the neural network. Deep learning is very aid about the mission how to work and artificial intelligence helps also
  • Q3. Statistics: Statistics is used for mathamatics operation and it helps to prediction. Example: We started to calculate how many persons live in between 20to25 age. That time statistics is very help to reduc...
Round 6 - Group Discussion 

I don't know idea about group discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - I am fresher in data science so i need to work in IT sector internship first i work that field salary is next and work is first.

Skills evaluated in this interview

TCS Interview FAQs

How many rounds are there in TCS Lead Data Scientist interview?
TCS interview process usually has 1-2 rounds. The most common rounds in the TCS interview process are HR, Technical and Coding Test.

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TCS Lead Data Scientist Interview Process

based on 2 interviews

Interview experience

4
  
Good
View more

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TCS Lead Data Scientist Salary
based on 40 salaries
₹6.6 L/yr - ₹26.9 L/yr
50% less than the average Lead Data Scientist Salary in India
View more details

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based on 4 reviews

4.3/5

Rating in categories

4.5

Skill development

4.3

Work-life balance

2.7

Salary

5.0

Job security

3.9

Company culture

2.3

Promotions

3.6

Work satisfaction

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