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MNC Group Data Scientist Interview Questions and Answers

Updated 17 Jul 2023

MNC Group Data Scientist Interview Experiences

1 interview found

Interview experience
1
Bad
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Jun 2023. There were 3 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 Resume tips
Round 2 - Coding Test 

Using loop print the star for a triangle.
What is pandas.
Different between tuple and list.

Round 3 - Technical 

(4 Questions)

  • Q1. What is 5G. Types of G.
  • Ans. 

    5G is the fifth generation of wireless technology, offering faster speeds, lower latency, and increased capacity for mobile networks.

    • 5G stands for fifth generation and is the latest standard for wireless communication

    • It offers faster download and upload speeds, lower latency, and increased capacity compared to previous generations like 4G

    • 5G technology uses higher frequency bands to transmit data, allowing for more devi...

  • Answered by AI
  • Q2. About your self. What is machine learning. Machine learning types.
  • Q3. What is tensor . Linear regression
  • Ans. 

    A tensor is a mathematical object representing multi-dimensional arrays of data.

    • Tensors are commonly used in machine learning and deep learning for representing data.

    • They can have any number of dimensions, such as scalars (0D), vectors (1D), matrices (2D), or higher dimensional arrays.

    • In TensorFlow, a popular deep learning framework, tensors are the main data structure used for computations.

    • Operations on tensors includ...

  • Answered by AI
  • Q4. Measure of central tendency
  • Ans. 

    Measure of central tendency refers to the average or middle value in a dataset.

    • Central tendency is used to summarize the data and give a single value that represents the entire dataset.

    • Common measures of central tendency include mean, median, and mode.

    • Mean is the average of all values, median is the middle value when the data is sorted, and mode is the most frequently occurring value.

    • For example, in a dataset of 5, 7, ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep learning and keep exploring

Skills evaluated in this interview

Interview questions from similar companies

I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. What is data science
  • Ans. 

    Data science is the field of extracting insights and knowledge from data using various techniques and tools.

    • Data science involves collecting, cleaning, and analyzing data to extract insights.

    • It uses various techniques such as machine learning, statistical modeling, and data visualization.

    • Data science is used in various fields such as finance, healthcare, and marketing.

    • Examples of data science applications include fraud...

  • Answered by AI
  • Q2. What is phyton and R
  • Ans. 

    Python and R are programming languages commonly used in data science and statistical analysis.

    • Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.

    • R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.

    • Both languages are popular choices for data scientists and hav...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Provide the tips how to face the interview

Skills evaluated in this interview

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

(2 Questions)

  • Q1. What is LSTM and how is different with RNN
  • Q2. Tell me the NLP technique you used in past and explain
Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed before Jan 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about Yourself.
  • Ans. 

    I am a data scientist with a background in statistics and machine learning.

    • Background in statistics and machine learning

    • Experience with data analysis and visualization tools like Python, R, and Tableau

    • Strong problem-solving skills

    • Ability to communicate complex technical concepts to non-technical stakeholders

  • Answered by AI
  • Q2. Explain your Final Year Project
  • Ans. 

    Developed a predictive model for customer churn in a telecom company using machine learning algorithms.

    • Used Python for data preprocessing and model building

    • Implemented algorithms like Random Forest and Logistic Regression

    • Evaluated model performance using metrics like accuracy and AUC-ROC curve

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Aditya Birla Group Data Scientist interview:
  • Data Analytics
Interview preparation tips for other job seekers - Be True and Confident. Prepare for it with Focus.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Jun 2023. There were 4 interview rounds.

Round 1 - Aptitude Test 

Data Science MCQ questions

Round 2 - Coding Test 

Building a baseline ML model with EDA etc.

Round 3 - One-on-one 

(2 Questions)

  • Q1. How do you analyse outliers?
  • Ans. 

    Outliers can be analyzed using statistical methods like Z-score, IQR, or visualization techniques like box plots.

    • Calculate Z-score and identify data points with Z-score greater than a certain threshold as outliers.

    • Use Interquartile Range (IQR) to detect outliers by identifying data points outside 1.5 * IQR range.

    • Visualize data using box plots to identify any data points that fall outside the whiskers.

    • Consider domain kn...

  • Answered by AI
  • Q2. Tell me about a time when what you found did not match expectation with what you thought analysing the dataset.
Round 4 - One-on-one 

(2 Questions)

  • Q1. Why Unilever now?
  • Q2. Where do you see yourself in 5 years?
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Nov 2023. There were 4 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about yourself
  • Q2. Questions from projects which was mentioned on resume
Round 2 - One-on-one 

(2 Questions)

  • Q1. Fitment based questions
  • Q2. Explain a project
  • Ans. 

    Developed a machine learning model to predict customer churn for a telecom company.

    • Collected and cleaned customer data including usage patterns and demographics

    • Used classification algorithms like Random Forest and Logistic Regression to build the model

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

  • Answered by AI
Round 3 - Aptitude Test 

Math, English, reasoning

Round 4 - HR 

(1 Question)

  • Q1. Asked me about expected salary
Interview experience
4
Good
Difficulty level
Easy
Process Duration
4-6 weeks
Result
Selected Selected

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

Round 1 - Technical 

(1 Question)

  • Q1. What is difference between lstm and rnn
  • Ans. 

    LSTM is a type of RNN that addresses the vanishing gradient problem by using memory cells.

    • RNN stands for Recurrent Neural Network, a type of neural network that processes sequential data.

    • LSTM stands for Long Short-Term Memory, a type of RNN that includes memory cells to retain information over long sequences.

    • LSTM is designed to overcome the vanishing gradient problem, which occurs when training RNNs on long sequences.

    • L...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. What are different evaluation matrix ?
  • Ans. 

    Evaluation matrices are used to assess the performance of models in data science.

    • Confusion matrix: used to evaluate the performance of classification models.

    • Precision, recall, and F1 score: measures for binary classification models.

    • Mean squared error (MSE): evaluates the performance of regression models.

    • R-squared: assesses the goodness of fit for regression models.

    • Area under the ROC curve (AUC-ROC): evaluates the perfo...

  • Answered by AI

Skills evaluated in this interview

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

I applied via Referral and was interviewed before Jun 2022. There were 3 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 Resume tips
Round 2 - Technical 

(2 Questions)

  • Q1. KNN, Regression basics, R Squared, Batch normalization, LSTM vs GRU etc. Describe your present project.
  • Q2. Questions on Padding
Round 3 - HR 

(2 Questions)

  • Q1. Describe your strength and weakness.
  • Q2. Why do you want to join Infosys?

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare basics well. Be through in your past projects.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Knn and logistic regression
  • Q2. Correlation vs covariance
  • Ans. 

    Covariance measures the relationship between two variables, while correlation measures the strength and direction of the relationship.

    • Covariance can be positive, negative, or zero, indicating the direction of the relationship between variables.

    • Correlation is always between -1 and 1, with 1 indicating a perfect positive relationship, -1 indicating a perfect negative relationship, and 0 indicating no relationship.

    • Covaria...

  • Answered by AI
Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Mar 2023. There were 3 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 Resume tips
Round 2 - Technical 

(2 Questions)

  • Q1. Questions on S3 with Python
  • Q2. Questions on Pandas and how I read files
Round 3 - Case Study 

Kafka architecture related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep interviewing elsewhere. Their hiring process is broken. HRs are clueless and process is too long.
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MNC Group Interview FAQs

How many rounds are there in MNC Group Data Scientist interview?
MNC Group interview process usually has 3 rounds. The most common rounds in the MNC Group interview process are Resume Shortlist, Coding Test and Technical.
What are the top questions asked in MNC Group Data Scientist interview?

Some of the top questions asked at the MNC Group Data Scientist interview -

  1. What is tensor . Linear regress...read more
  2. What is 5G. Types of...read more
  3. Measure of central tende...read more

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MNC Group Data Scientist Interview Process

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MNC Group Data Scientist Salary
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₹1.2 L/yr - ₹32.1 L/yr
9% more than the average Data Scientist Salary in India
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