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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

I applied via Naukri.com and was interviewed before Mar 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. About Resume and basic ML

Interview Preparation Tips

Interview preparation tips for other job seekers - Don't join this company as it has no real ML projects but POC on dummy data

I applied via Naukri.com and was interviewed before Mar 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. About Resume and basic ML

Interview Preparation Tips

Interview preparation tips for other job seekers - Don't join this company as it has no real ML projects but POC on dummy data

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

Interview Questionnaire 

1 Question

  • Q1. Good knowledge about Machine Learning algorithms and their mathematical structure.

Interview Preparation Tips

Interview preparation tips for other job seekers - Have a good understanding of the machine learning algorithms along with the mathematical intricacies.

I applied via Naukri.com and was interviewed in Mar 2022. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Question on NER models
  • Q2. Question from project
Round 2 - One-on-one 

(2 Questions)

  • Q1. Critical thinking questions
  • Q2. Case studies based questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on current project and your resume mentioned skills
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Aug 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 - Technical 

(1 Question)

  • Q1. Question related to CNN in details, Different ML algorithms, Questions related to pandas
Round 3 - One-on-one 

(1 Question)

  • Q1. Question related to MLOps, GitHub
Round 4 - HR 

(1 Question)

  • Q1. Salary expectations

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on your skills and projects mentioned in your resume
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
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 

(1 Question)

  • Q1. Fundamentals of ML, classical ML
  • Ans. 

    Fundamentals of classical machine learning

    • Classical machine learning involves algorithms that learn from data and make predictions or decisions.

    • Common algorithms include linear regression, decision trees, support vector machines, and k-nearest neighbors.

    • Key concepts include training data, testing data, model evaluation, and hyperparameter tuning.

    • Classical ML is often used for tasks like classification, regression, clus

  • Answered by AI
Round 3 - Technical 

(1 Question)

  • Q1. Research paper discussion

Skills evaluated in this interview

I applied via Recruitment Consultant and was interviewed in Mar 2021. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Super Quick Case Study on Sales
  • Q2. Questions on Machine learning Projects in your Resume

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thoroughly prepared with the projects that you have listed on your resume. For each project, you can prepare: What, How and why. Do be prepared with the results and impacts of any ML models that you built.

Other topics: SQL, Excel, Pivot tables

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

Tell us how to improve this page.

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 24 salaries
₹9 L/yr - ₹30 L/yr
25% 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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