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L&T Technology Services Data Scientist Interview Questions and Answers for Experienced

Updated 28 Feb 2024

L&T Technology Services Data Scientist Interview Experiences for Experienced

1 interview found

Data Scientist Interview Questions & Answers

user image Sourabh BM

posted on 28 Feb 2024

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

I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. When do we use PCA?
  • Ans. 

    PCA is used to reduce the dimensionality of data by finding the most important features.

    • PCA is used when dealing with high-dimensional data to reduce the number of features and avoid multicollinearity.

    • It helps in visualizing data in lower dimensions while retaining as much variance as possible.

    • PCA is commonly used in image processing, genetics, finance, and other fields where dimensionality reduction is needed.

  • Answered by AI
  • Q2. PCA is a dimensionality reduction technique and is used to reduce the less useful features from the dataset
Round 2 - Technical 

(1 Question)

  • Q1. LTTS data science interview

Skills evaluated in this interview

Data Scientist Jobs at L&T Technology Services

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Interview questions from similar companies

Data Scientist Interview Questions & Answers

LTIMindtree user image Abhishek Srivastav

posted on 16 Mar 2015

Interview Questionnaire 

3 Questions

  • Q1. Code For parse Traingle
  • Ans. 

    Code for parsing a triangle

    • Use a loop to iterate through each line of the triangle

    • Split each line into an array of numbers

    • Store the parsed numbers in a 2D array or a list of lists

  • Answered by AI
  • Q2. Asci value along with alphabets(both capital and small)
  • Ans. 

    The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.

    • ASCII values range from 65 to 90 for capital letters A to Z.

    • ASCII values range from 97 to 122 for small letters a to z.

    • For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.

  • Answered by AI
  • Q3. Would you like to go for Hire studies

Interview Preparation Tips

Round: Test
Experience: First round was through Elitmus.
If you want to be in IT industry must appear it atleast once, for core also u can try it.
It's usually a tough exam but if u are good in maths , apti you will crack it.
Tips: Focus more on Reasoning part. this is the most difficult part.
practise paragraphs reading and solving(Average level)(Infosys level or less)
If you need any kind of help you can contact me via email or can even ring me.
I would recomend everybody to appear this exam with minimum of one month dedicated preparation
Duration: 120 minutes
Total Questions: 60

Round: Coding Round on their own plateform
Experience: It was little difficult to write codes on some other plateform. But time was enough to cope up.
Tips: Try writing as many programs you can write in C, C++ and JAVA not on paper, on compiler . while giving this exam you can select any of these three languages. Based on that your technical Interview will be taken.

Round: Technical Interview
Experience: Its easy one if you have hands on on programing
Tips: Explore and explore .

Round: HR Interview
Experience: Most difficult round for me(I feel myself a little weak in English). But stay calm. And be cheerful.
I still don't know the exact answer of the question but conversation gone for about 20 minutes on this topic.
He din't seem satisfied with me. Btw most of the people says to say no. You can take your call according to the situation.
Tips: Stay calm. Have as much Knowledge about the organisation. Try to make your Intro as much interesting as possible with achivements, hobbies etc. Ya English plays most important role here.

General Tips: Always have faith in yourself. And remember Everything happens for some good reason
Skill Tips: Dont go deep in OS, DBMS but have rough idea about all the topics
Skills: C, C++, DATA STRUCTURE, DBMS, OS
College Name: GANDHI INSTITUTE OF ENGINEERING AND TECHNOLOGY
Motivation: I wanted a job. :)
Funny Moments: A number of stories are there related to this job.
One is I already had an offer so I booked my ticket to home from Bangalore But at very last moment my father told me that you should never miss any chance, go for it. I went and interview date was postponded due to some reasons. I got a mail at 10:30 pm saying I have to attend interview next day morning at 8:30 pm. I ran to get printout of that mail. The venue was 3 hour journey from my place so I din't sleep for the whole night because i knew that if I ll sleep, I would not be able to wake up But I din't studied also because it would have lead to sleep. And Without having sleep and last moment study I made it.

Skills evaluated in this interview

I appeared for an interview before Jul 2021.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Model evaluation and performance metrices
  • Q2. Explaination of bagging and boosting techniques
  • Ans. 

    Bagging and boosting are ensemble techniques used to improve the accuracy of machine learning models.

    • Bagging involves training multiple models on different subsets of the training data and then combining their predictions through voting or averaging.

    • Boosting involves iteratively training models on the same data, with each subsequent model focusing on the samples that the previous models misclassified.

    • Bagging reduces va...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Work on basic concepts and previous projects

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

I applied via Job Portal and was interviewed before Jan 2021. There was 1 interview round.

Interview Questionnaire 

3 Questions

  • Q1. Dataset were give and asked to get an overview of data on IDE of your choice and then was asked to explain different steps required for solving classification problem w.r.t. shared data.
  • Q2. Was asked to explain my project and asked different data science techniques like dimensionality reduction, data cleaning approaches etc.. Was also asked to explain internals of algorithm used.
  • Q3. Knowledge of any cloud platform

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for atleast 1 project which you have done thoroughly and know some basic python with pandas
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Nov 2023. There were 2 interview rounds.

Round 1 - Coding Test 

SQL, select statment and DDL commands

Round 2 - Technical 

(1 Question)

  • Q1. Python lists and conditional statements and loos
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Feb 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Leet code practice solve medium difficulty questions

Round 2 - Technical 

(1 Question)

  • Q1. Linear regression logistic regression deep learning nlp
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
4-6 weeks
Result
Not Selected

I applied via Job Fair and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Coding test with mcq - aptitude , coding , stats , ml

Round 2 - One-on-one 

(1 Question)

  • Q1. Project related like deployement
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Oct 2022. There were 2 interview rounds.

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 - HR 

(2 Questions)

  • Q1. Why do you want to join Sutherland?
  • Q2. What is your salary expectation?

Interview Preparation Tips

Interview preparation tips for other job seekers - Do know every details of your resume.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Jun 2022. There were 4 interview rounds.

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 

Quant, Reasoning and python based MCQs

Round 3 - Technical 

(3 Questions)

  • Q1. Question on your past work experience. Can go deep down with respect to your prior work experience
  • Q2. In what project have you been involved and what were your roles and responsibility
  • Q3. Data Science project pipeline ,what components are involved , step by step process
  • Ans. 

    Data science project pipeline involves multiple components and follows a step-by-step process.

    • 1. Define the problem statement and objectives of the project.

    • 2. Collect and preprocess the data needed for analysis.

    • 3. Explore and visualize the data to gain insights.

    • 4. Build and train machine learning models to solve the problem.

    • 5. Evaluate the models using appropriate metrics.

    • 6. Deploy the model into production and monitor...

  • Answered by AI
Round 4 - HR 

(1 Question)

  • Q1. Your prior experience and salary expectations

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well with good theoretical and practical knowledge for the role your getting into

Skills evaluated in this interview

L&T Technology Services Interview FAQs

How many rounds are there in L&T Technology Services Data Scientist interview for experienced candidates?
L&T Technology Services interview process for experienced candidates usually has 2 rounds. The most common rounds in the L&T Technology Services interview process for experienced candidates are Technical.
How to prepare for L&T Technology Services Data Scientist interview for experienced candidates?
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 L&T Technology Services. The most common topics and skills that interviewers at L&T Technology Services expect are Business Solutions, CCTV Monitoring, Data Collection, Data Visualization and Manual Testing.
What are the top questions asked in L&T Technology Services Data Scientist interview for experienced candidates?

Some of the top questions asked at the L&T Technology Services Data Scientist interview for experienced candidates -

  1. When do we use P...read more
  2. PCA is a dimensionality reduction technique and is used to reduce the less usef...read more
  3. LTTS data science interv...read more

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L&T Technology Services Data Scientist Interview Process for Experienced

based on 1 interview

Interview experience

4
  
Good
View more
L&T Technology Services Data Scientist Salary
based on 48 salaries
₹3.7 L/yr - ₹14.7 L/yr
45% less than the average Data Scientist Salary in India
View more details

L&T Technology Services Data Scientist Reviews and Ratings

based on 2 reviews

2.0/5

Rating in categories

2.0

Skill development

2.6

Work-life balance

1.4

Salary

2.6

Job security

1.4

Company culture

1.4

Promotions

2.6

Work satisfaction

Explore 2 Reviews and Ratings
Data Scientist

Mumbai

0-1 Yrs

Not Disclosed

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