Publicis Sapient General Intern Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 34 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Publicis Sapient.
Publicis Sapient
Intern
Intern Average Neutral experience No offer 2 rounds
Interview process
Technical screen Recruiter call
Interview formats
Coding Technical Behavioral
For this interview focusing on fundamental Python and machine learning concepts, you should be ready to talk about important ML algorithms, Python libraries such as NumPy, Pandas, and scikit-learn, and how they are used in practice. Case studies where you show how you solve problems with AI methods, plus a detailed resume highlighting your related experience, will be really important.
Confirmed questions6 questions
- Can you reverse a string using Python?
- Explain some key ML algorithms.
- What are your thoughts on Python libraries like NumPy, Pandas, and scikit-learn?
Publicis Sapient
Intern
Intern Easy Positive experience Accept offer 3 rounds
Interview process
Take home Technical screen Phone screen
Interview formats
Coding Technical Behavioral
We started with an online assessment that had two LeetCode medium problems. Then, the first interview round lasted for an hour and focused heavily on CS fundamentals, concluding with a straightforward DSA problem. The second round, which was with the manager, was primarily an HR and behavioral interview.
Confirmed questions4 questions
- Could you answer some questions about OOPS?
- How about some questions on Databases?
- And some questions on OS?
Publicis Sapient
Intern
Intern Average Positive experience Accept offer 2 rounds
Interview process
Technical screen Recruiter call Background check Offer
Interview formats
Technical Coding Behavioral
Started with a shortlisting test, then some questions on Prob Stats and 2-3 coding questions (array and logic based). Next, there was a technical round where they focused mainly on my NLP project, and some OOPS questions came up too. This was followed by an HR round with the Data Science head. The HR round felt good, and they asked about my role model in Deep Learning and a research paper I had read.
Confirmed questions4 questions
- Can you tell me more about your Data Science project concerning Natural Language Processing?
- Were you asked about Object-Oriented Programming Principles?
- Who do you consider your role model in the field of Deep Learning?
Publicis Sapient General Intern Interview Questions
Quoted word for word from Publicis Sapient interview reports.
“Can you reverse a string using Python?”
Read reports →“What character in a string has the highest frequency?”
Read reports →“What's the minimum number of trials needed to figure out the switch-to-bulb mapping for 5 bulbs and 5 switches, given the switches are outside and a trial means checking the bulbs inside?”
Read reports →“Describe how to delete a node in different situations.”
Read reports →“How would you go about reversing a linked list?”
Read report →“Could you explain what VLOOKUP is in MS EXCEL?”
Read report →“What are your thoughts on Python libraries like NumPy, Pandas, and scikit-learn?”
Read report →“Who do you consider your role model in the field of Deep Learning?”
Read report →“Describe some real-world examples where multi-threading is used in Java.”
Read report →Formats, difficulty and experience
Across all 34 Publicis Sapient interview reports.