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Publicis Sapient Data Scientist Interview Questions and Answers

Updated 26 Dec 2024

Publicis Sapient Data Scientist Interview Experiences

2 interviews found

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

NER training using deep learning

Round 2 - Technical 

(2 Questions)

  • Q1. Describe the approach taken for assignment
  • Ans. 

    I approach assignments by breaking them down into smaller tasks, setting deadlines, and regularly checking progress.

    • Break down the assignment into smaller tasks to make it more manageable

    • Set deadlines for each task to stay on track

    • Regularly check progress to ensure everything is on schedule

    • Seek feedback from colleagues or supervisors to improve the quality of work

  • Answered by AI
  • Q2. Scenario based questions
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

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Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Easy
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Job Fair and was interviewed in May 2024. There were 3 interview rounds.

Round 1 - Assignment 

They gave a span of 3 days to build an AI-powered webapp

Round 2 - One-on-one 

(2 Questions)

  • Q1. How would you go about learning a new skill
  • Q2. Experience in cloud technologies
  • Ans. 

    I have experience working with cloud technologies such as AWS, Azure, and Google Cloud Platform.

    • Experience in setting up and managing virtual machines, storage, and networking in cloud environments

    • Knowledge of cloud services like EC2, S3, RDS, and Lambda

    • Experience with cloud-based data processing and analytics tools like AWS Glue and Google BigQuery

  • Answered by AI
Round 3 - One-on-one 

(2 Questions)

  • Q1. Tell me about yourself
  • Q2. Project details and challenges faced in the project
  • Ans. 

    Developed a predictive model for customer churn in a telecom company

    • Collected and cleaned customer data from various sources

    • Performed exploratory data analysis to identify key factors influencing churn

    • Built and fine-tuned machine learning models to predict customer churn

    • Challenges included imbalanced data, feature engineering, and model interpretability

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thoroughly prepared with your projects with their details nd skills on your resume

Skills evaluated in this interview

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
Easy
Process Duration
2-4 weeks
Result
No response

I was interviewed in Dec 2024.

Round 1 - Coding Test 

Asked the question about ml and basic python questions

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

I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. 1. Basics of Python 2. Basics of ML like supervised and unsupervised learning

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thorough on basics and current job role
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Aptitude Test 

Bulb and switch puzzle

Round 2 - Aptitude Test 

Rope burning and length question

Round 3 - HR 

(1 Question)

  • Q1. Why you want to join optum
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. Why do you want to join kyndryl?
  • Q2. Goals and ambitions towards kyndryl?

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep practicing and you will get the job
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 - Coding Test 

Basic DP, Array Questions

Round 3 - One-on-one 

(1 Question)

  • Q1. Resume Walkthrough and Discussion, Medium level coding questions
Round 4 - One-on-one 

(1 Question)

  • Q1. Discussion with Manager
Round 5 - HR 

(1 Question)

  • Q1. Normal HR round
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Aug 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Easy array questions.

Round 2 - Technical 

(2 Questions)

  • Q1. Explain projects from resume.
  • Ans. 

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

    • Used Python and scikit-learn to preprocess data and build the model

    • Performed feature engineering to improve model performance

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

  • Answered by AI
  • Q2. Questions on image processing and computer vision.

Publicis Sapient Interview FAQs

How many rounds are there in Publicis Sapient Data Scientist interview?
Publicis Sapient interview process usually has 2 rounds. The most common rounds in the Publicis Sapient interview process are Technical, Coding Test and Assignment.
What are the top questions asked in Publicis Sapient Data Scientist interview?

Some of the top questions asked at the Publicis Sapient Data Scientist interview -

  1. describe the approach taken for assignm...read more
  2. Linear regression logistic regression deep learning ...read more
  3. scenario based questi...read more

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Publicis Sapient Data Scientist Interview Process

based on 3 interviews

Interview experience

4
  
Good
View more
Join Publicis Sapient Let's imagine the future together.
Publicis Sapient Data Scientist Salary
based on 31 salaries
₹9 L/yr - ₹33.4 L/yr
47% more than the average Data Scientist Salary in India
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Publicis Sapient Data Scientist Reviews and Ratings

based on 4 reviews

3.7/5

Rating in categories

3.2

Skill development

3.8

Work-life balance

2.8

Salary

4.1

Job security

3.5

Company culture

3.6

Promotions

3.0

Work satisfaction

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