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Genpact Data Scientist Interview Questions, Process, and Tips

Updated 30 Oct 2024

Top Genpact Data Scientist Interview Questions and Answers

View all 8 questions

Genpact Data Scientist Interview Experiences

11 interviews found

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
5
Excellent
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Technical 

(4 Questions)

  • Q1. Describe Projects in depth ?
  • Ans. What algos used ? Why ? Leads you got ? Whole data prep and deployment process ? Model Performance Tracking.
  • Answered Anonymously
  • Q2. Scree share coding - manipulate dataframe using pandas
  • Ans. 

    Using pandas to manipulate dataframes through screen sharing coding.

    • Use pandas library in Python for data manipulation

    • Share screen to demonstrate coding techniques

    • Use functions like merge, groupby, and apply for data manipulation

  • Answered by AI
  • Q3. How to extract top discussed topics on twitter ?
  • Ans. 

    Use Twitter API to extract tweets, perform text analysis to identify top discussed topics.

    • Access Twitter API to retrieve tweets

    • Perform text analysis using NLP techniques like TF-IDF or LDA

    • Identify keywords or hashtags with highest frequency to determine top discussed topics

  • Answered by AI
  • Q4. Everything about TN, TP, imbalanced dataset, senstivity, auc_roc? Difference between bagging and boosting.

Interview Preparation Tips

Interview preparation tips for other job seekers - Get in depth end to end knowledge of ML model building projects. Learn coding. They live ask you to do live coding. Learn Topic modeling, NER and nltk based classfication sentiment analysis.

Skills evaluated in this interview

Data Scientist Interview Questions Asked at Other Companies

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

(2 Questions)

  • Q1. ML related questions and previous company's project related
  • Q2. What is Regression?Prepare basci pandas related questions
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Explain NLP project life cycle for sentiment analysis in detail
  • Ans. 

    NLP project life cycle for sentiment analysis involves data collection, preprocessing, model training, evaluation, and deployment.

    • Data collection: Gather text data from various sources like social media, reviews, or surveys.

    • Data preprocessing: Clean and preprocess the text data by removing stopwords, punctuation, and special characters.

    • Model training: Use machine learning or deep learning algorithms to train a sentimen...

  • Answered by AI
  • Q2. Which models you use for sentiment analysis or summarisation
  • Ans. 

    I use models like LSTM, BERT, and Transformer for sentiment analysis and summarization.

    • LSTM (Long Short-Term Memory) for sequence prediction tasks like sentiment analysis

    • BERT (Bidirectional Encoder Representations from Transformers) for contextual word embeddings

    • Transformer for attention-based sequence-to-sequence tasks like summarization

  • Answered by AI

Genpact interview questions for designations

 Senior Data Scientist

 (1)

 Data Science Intern

 (1)

 Data Scientist and Machine Learning Engineer

 (1)

 Analytics Manager

 (2)

 Business Intelligence Consultant

 (1)

 Data Analyst

 (10)

 Data Engineer

 (8)

 Data Architect

 (1)

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

(1 Question)

  • Q1. Feature engineering
Round 2 - Technical 

(1 Question)

  • Q1. Gen AI ,LLM Deployment

Get interview-ready with Top Genpact Interview Questions

Data Scientist Interview Questions & Answers

user image Nazrul Miya

posted on 30 Oct 2024

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

(1 Question)

  • Q1. Explain p value and its difference with probability
  • Ans. 

    P value is a measure of the strength of evidence against the null hypothesis in a statistical test, while probability is the likelihood of an event occurring.

    • P value is used in hypothesis testing to determine the significance of results

    • Probability is a measure of the likelihood of an event occurring

    • P value ranges from 0 to 1, with lower values indicating stronger evidence against the null hypothesis

    • Probability also ran...

  • Answered by AI

Data Scientist Jobs at Genpact

View all
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Sep 2023. There were 5 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 Resume tips
Round 2 - Aptitude Test 

General maths n reasoning ques

Round 3 - Coding Test 

1 DSA medium level question were asked

Round 4 - Group Discussion 

Any random topic that we have to speak upon

Round 5 - Technical 

(2 Questions)

  • Q1. Discussed everything written in the resume
  • Q2. Skillsets written in resume

Interview Preparation Tips

Interview preparation tips for other job seekers - Be sure about what you are writing in the resume.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Campus Placement and was interviewed in Apr 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 - Aptitude Test 

Java script, angular js, node questions

Round 3 - Technical 

(2 Questions)

  • Q1. Asked about Company and why do you choose genpact?
  • Q2. Questions on my projects and college experience

Interview Preparation Tips

Topics to prepare for Genpact Data Scientist interview:
  • SQL
  • DBMS
  • Operating Systems
Interview preparation tips for other job seekers - Projects mostly and dbms sql
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Feb 2023. There was 1 interview round.

Round 1 - Technical 

(3 Questions)

  • Q1. What is hypothesis testing
  • Ans. 

    Hypothesis testing is a statistical method used to make inferences about a population based on sample data.

    • It involves formulating a hypothesis about a population parameter, collecting data, and using statistical tests to determine if the data supports or rejects the hypothesis.

    • There are two types of hypotheses: null hypothesis (H0) and alternative hypothesis (H1).

    • Common statistical tests for hypothesis testing include...

  • Answered by AI
  • Q2. What is null hypothesis
  • Ans. 

    Null hypothesis is a statement that there is no significant difference or relationship between variables being studied.

    • Null hypothesis is typically denoted as H0 in statistical hypothesis testing.

    • It is the default assumption that there is no effect or relationship.

    • The alternative hypothesis (Ha) is the opposite of the null hypothesis.

    • For example, in a study testing a new drug, the null hypothesis would be that the drug...

  • Answered by AI
  • Q3. What is supervised and unsupervised learning
  • Ans. 

    Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data.

    • Supervised learning requires labeled data for training

    • Unsupervised learning does not require labeled data

    • Examples of supervised learning include classification and regression

    • Examples of unsupervised learning include clustering and dimensionality reduction

  • 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 Naukri.com and was interviewed before Apr 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 - Case Study 

DS related Case study and discussion

Round 3 - Coding Test 

Python code example test where they will ask basic python or sql questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared with statistics and previous projects that you have worked on.
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Genpact Interview FAQs

How many rounds are there in Genpact Data Scientist interview?
Genpact interview process usually has 2 rounds. The most common rounds in the Genpact interview process are Technical, Resume Shortlist and Aptitude Test.
How to prepare for Genpact 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 Genpact. The most common topics and skills that interviewers at Genpact expect are Machine Learning, Python, Data Science, R and Predictive Modeling.
What are the top questions asked in Genpact Data Scientist interview?

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

  1. How to extract top discussed topics on twitte...read more
  2. Which models you use for sentiment analysis or summarisat...read more
  3. Scree share coding - manipulate dataframe using pan...read more
How long is the Genpact Data Scientist interview process?

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

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Genpact Data Scientist Interview Process

based on 11 interviews

1 Interview rounds

  • Technical Round
View more
Genpact Data Scientist Salary
based on 226 salaries
₹5.7 L/yr - ₹20 L/yr
12% less than the average Data Scientist Salary in India
View more details

Genpact Data Scientist Reviews and Ratings

based on 16 reviews

4.4/5

Rating in categories

4.3

Skill development

4.7

Work-life balance

3.8

Salary

4.6

Job security

4.6

Company culture

3.7

Promotions

4.2

Work satisfaction

Explore 16 Reviews and Ratings
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+1

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