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TCS Data Scientist Interview Questions, Process, and Tips

Updated 20 Dec 2024

Top TCS Data Scientist Interview Questions and Answers

View all 29 questions

TCS Data Scientist Interview Experiences

33 interviews found

Data Scientist Interview Questions & Answers

user image Arnab kundu

posted on 18 Jun 2024

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

(1 Question)

  • Q1. Why did you choose recall for a particular ML model?
  • Ans. 

    Recall was chosen for the ML model to prioritize minimizing false negatives.

    • Chose recall to focus on identifying all relevant cases, even if it means more false positives

    • In scenarios where missing a positive case is more costly than incorrectly labeling a negative case

    • Commonly used in medical diagnosis to ensure all potential cases are identified

  • Answered by AI
Round 2 - Aptitude Test 

Basically, it was a managerial round

Skills evaluated in this interview

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

(1 Question)

  • Q1. What is low bias and high variance
  • Ans. 

    Low bias and high variance refer to the trade-off between model complexity and generalization ability.

    • Low bias refers to a model that makes strong assumptions about the data, leading to high accuracy on training data but potentially poor performance on unseen data.

    • High variance refers to a model that is very sensitive to small fluctuations in the training data, leading to overfitting and poor generalization.

    • Finding the...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. What happened with multi collinearity
  • Ans. 

    Multicollinearity occurs when independent variables in a regression model are highly correlated.

    • Multicollinearity can lead to unstable estimates of the coefficients in the regression model.

    • It can make it difficult to determine the effect of each independent variable on the dependent variable.

    • One common way to detect multicollinearity is to calculate the variance inflation factor (VIF) for each independent variable.

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

2 hours of coding with 2 Questions

TCS interview questions for designations

 Jr. Data Scientist

 (7)

 Senior Data Scientist

 (2)

 Lead Data Scientist

 (2)

 Senior Data Analyst

 (5)

 Data Science Intern

 (2)

 Scientist

 (1)

 Pharmacovigilance Scientist

 (2)

 Analytical Scientist

 (1)

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

(1 Question)

  • Q1. About the python and sql

Get interview-ready with Top TCS Interview Questions

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

I applied via Naukri.com and was interviewed in Aug 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. F1 score, auc, recall, precision

Data Scientist Interview Questions & Answers

user image ayush saxena

posted on 14 Jun 2023

Interview experience
5
Excellent
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 - Aptitude Test 

General qa like cat paper and 2 coding questions

Round 3 - Technical 

(2 Questions)

  • Q1. What are Logist regression and tell me about your projects
  • Ans. 

    Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.

    • Logistic regression is used when the dependent variable is binary (e.g., 0/1, yes/no, true/false).

    • It estimates the probability that a given observation belongs to a particular category.

    • It uses the logistic function to model the relationship between the dependent variable and independen...

  • Answered by AI
  • Q2. Go through your general project, steps, algo used

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed in Dec 2022. There were 2 interview rounds.

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 - Technical 

(2 Questions)

  • Q1. Explain difference between Faster-RCNN and Yolo v3.
  • Ans. 

    Faster-RCNN and Yolo v3 are both object detection algorithms, but differ in their approach and performance.

    • Faster-RCNN uses a two-stage approach, first generating region proposals and then classifying them.

    • Yolo v3 uses a single-stage approach, directly predicting bounding boxes and class probabilities.

    • Faster-RCNN is generally more accurate but slower, while Yolo v3 is faster but less accurate.

    • Faster-RCNN is better suit...

  • Answered by AI
  • Q2. How RNN handles exploding/vanishing Gradient?
  • Ans. 

    RNN uses techniques like gradient clipping, weight initialization, and LSTM/GRU cells to handle exploding/vanishing gradients.

    • Gradient clipping limits the magnitude of gradients during backpropagation.

    • Weight initialization techniques like Xavier initialization help in preventing vanishing gradients.

    • LSTM/GRU cells have gating mechanisms that allow the network to selectively remember or forget information.

    • Batch normaliza...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - 1.They will generally ask you Project related question. Read everything you have written in the resume.
2. Will ask you about any Papers which you have published or studied.

Skills evaluated in this interview

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

I was interviewed before Dec 2023.

Round 1 - Coding Test 

Python, basics OOP, ML, MLOps

Round 2 - One-on-one 

(2 Questions)

  • Q1. What is TSA? Explain the project as well.
  • Ans. 

    TSA stands for Transportation Security Administration. It is a government agency responsible for security at airports and other transportation hubs.

    • TSA was created in response to the September 11, 2001 terrorist attacks in the United States.

    • Its main goal is to ensure the security of passengers and transportation infrastructure.

    • TSA agents screen passengers and luggage for prohibited items before they board flights.

    • The a...

  • Answered by AI
  • Q2. What is Polymorphism?
  • Ans. 

    Polymorphism is the ability of a function or method to behave differently based on the object it is acting upon.

    • Polymorphism allows objects of different classes to be treated as objects of a common superclass.

    • It enables a single interface to represent multiple data types.

    • Examples include method overloading and method overriding in object-oriented programming.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - basics of ML, Python and MLops is fine.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Indeed and was interviewed before Sep 2023. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. NLP techniques, word stop,
  • Q2. K-nearset neighout algorithm, gaussian mixtture model

TCS Interview FAQs

How many rounds are there in TCS Data Scientist interview?
TCS interview process usually has 1-2 rounds. The most common rounds in the TCS interview process are Technical, One-on-one Round and Aptitude Test.
How to prepare for TCS 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 TCS. The most common topics and skills that interviewers at TCS expect are Data Science, Python, Machine Learning, SQL and R.
What are the top questions asked in TCS Data Scientist interview?

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

  1. How does decision tree algorithm work, what is cross entrop...read more
  2. If minimal data, which would you train for categorical prediction mod...read more
  3. How RNN handles exploding/vanishing Gradie...read more
How long is the TCS Data Scientist interview process?

The duration of TCS Data Scientist interview process can vary, but typically it takes about less than 2 weeks to complete.

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TCS Data Scientist Interview Process

based on 23 interviews in last 1 year

2 Interview rounds

  • Technical Round 1
  • Technical Round 2
View more

People are getting interviews through

based on 12 TCS interviews
Job Portal
Referral
WalkIn
Campus Placement
58%
17%
8%
8%
9% candidates got the interview through other sources.
High Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.
TCS Data Scientist Salary
based on 2.1k salaries
₹5.4 L/yr - ₹17.5 L/yr
22% less than the average Data Scientist Salary in India
View more details

TCS Data Scientist Reviews and Ratings

based on 123 reviews

3.7/5

Rating in categories

3.7

Skill development

4.2

Work-Life balance

2.8

Salary & Benefits

4.7

Job Security

3.8

Company culture

2.6

Promotions/Appraisal

3.4

Work Satisfaction

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