Xoriant Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 5 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Xoriant.
Xoriant
Data Scientist
Senior Average Negative experience No offer 1 round
Interview process
Recruiter call
Interview formats
Technical
HR reached out. I was shortlisted and they immediately scheduled the interview. I declined the job description due to a skill gap. The interviewer continued the conversation even after I stated I wasn't interested in the role. I eventually had to hang up.
Confirmed questions1 question
- Could you describe the important parameters of Large Language Models?
Xoriant
Data Scientist
Mid Average Positive experience Accept offer 3 rounds
Interview process
Technical screen Technical screen Recruiter call
Interview formats
Technical Behavioral
There were two technical interviews and then one HR interview. They asked basic machine learning questions and about my projects. If you know the concepts well, it's easy to pass. The interview isn't too hard.
Confirmed questions2 questions
- Can you tell me about a machine learning project you worked on?
- Could you describe a deep learning project you've done?
Xoriant
Data Scientist
Mid Average Neutral experience No offer 3 rounds
Interview process
Technical screen Take home Onsite
Interview formats
Technical Coding Behavioral
It seems like a solid interview process. There's a first round with a technical screening, followed by a task that needs to be solved. After that, there are scenario-based questions.
Confirmed questions2 questions
- Can you list the algorithms for linear regression?
- Tell me about your project.
Xoriant Data Scientist Interview Questions
Quoted word for word from Xoriant interview reports.
“Can you explain the structure of LSTM?”
Read reports →“Can you list the algorithms for linear regression?”
Read reports →“Could you describe the important parameters of Large Language Models?”
Read reports →“Can you provide code for various problems?”
Read reports →“Could you describe a deep learning project you've done?”
Read report →“Can you tell me about a machine learning project you worked on?”
Read report →“Tell me about your project.”
Read report →“Can you discuss the technologies you've been working with?”
Read report →Formats, difficulty and experience
Across all 5 Xoriant interview reports.