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Trianz Data Scientist Interview Questions and Answers

Updated 14 Apr 2024

Trianz Data Scientist Interview Experiences

1 interview found

Data Scientist Interview Questions & Answers

user image Yuvraj Grover

posted on 14 Apr 2024

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Aptitude Test 

It was a combination of aptitude questions and three coding questions which ranged from easy to hard.

Round 2 - Technical 

(3 Questions)

  • Q1. What do you understand by Oops? Pillars of Oops.
  • Ans. 

    Oops stands for Object-Oriented Programming. Pillars of Oops include Inheritance, Encapsulation, Abstraction, and Polymorphism.

    • Oops stands for Object-Oriented Programming

    • Pillars of Oops include Inheritance, Encapsulation, Abstraction, and Polymorphism

    • Inheritance allows a class to inherit properties and behavior from another class

    • Encapsulation restricts access to certain components within a class

    • Abstraction hides the co...

  • Answered by AI
  • Q2. What is Agile Methodology?
  • Ans. 

    Agile Methodology is a project management approach that emphasizes flexibility, collaboration, and incremental development.

    • Agile involves breaking down projects into small, manageable tasks called sprints.

    • It prioritizes customer feedback and collaboration throughout the development process.

    • Adaptability and responding to change are key principles of Agile.

    • Common Agile frameworks include Scrum, Kanban, and Extreme Progra

  • Answered by AI
  • Q3. One coding question, knowledge about devops?

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Basic ML questions based on your project, python basic questions
Round 2 - Coding Test 

Basic python questions on pandas,numpy, and basic SQL questions on windows function like lag

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(3 Questions)

  • Q1. Questions around the previous work
  • Q2. Questions around how re-rank work, and image segmentation,
  • Q3. Questions with podman and docker

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare your profile and brush up your knowledge
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Jul 2024. There were 3 interview rounds.

Round 1 - Coding Test 

1.Describe your project.
2.Explain machine learning concept.

Round 2 - Case Study 

Presentation based question on case study

Round 3 - HR 

(1 Question)

  • Q1. Tell something which you haven't put in your resume
  • Ans. 

    I have experience in organizing and leading community service projects

    • Organized a charity event to raise funds for a local animal shelter

    • Led a team of volunteers in cleaning up a park in the neighborhood

    • Coordinated a food drive for a homeless shelter

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Aptitude, coding on python NLP

Round 2 - Group Discussion 

Python Data Frames, String list manipulation

Round 3 - HR 

(2 Questions)

  • Q1. Common discussion
  • Q2. Salary location etc
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Coding Test 

Test+2 interviews(technical and statistics)

Round 2 - Case Study 

Basic guestimates and case studies

Interview Preparation Tips

Interview preparation tips for other job seekers - Study hard
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Questions on MLP, ML
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
-
Result
-

I applied via Naukri.com and was interviewed in Sep 2023. 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. Data science related areas
Round 3 - Assignment 

Case study related to semantic search

Round 4 - Technical 

(1 Question)

  • Q1. Questions based on case study
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I was interviewed in Apr 2023.

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. Questions related to data science
Round 3 - Technical 

(1 Question)

  • Q1. Questions related to data science

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thorough from what you mentioned in your resume
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via campus placement at Dehradun Institute of Technology, Dehradun and was interviewed before Oct 2023. There were 3 interview rounds.

Round 1 - Coding Test 

The first was a mcq based coding round for campus placement

Round 2 - Coding Test 

This was a pairing coding round

Round 3 - Technical 

(1 Question)

  • Q1. Explain different unsupervised algo
  • Ans. 

    Unsupervised algorithms are used to find patterns in data without labeled outcomes.

    • K-means clustering: partitions data into K clusters based on similarity

    • Hierarchical clustering: creates a tree of clusters based on similarity

    • Principal Component Analysis (PCA): reduces dimensionality by finding orthogonal components

    • Association rule mining: discovers interesting relationships between variables in large datasets

  • Answered by AI

Skills evaluated in this interview

Trianz Interview FAQs

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

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

  1. What do you understand by Oops? Pillars of Oo...read more
  2. What is Agile Methodolo...read more
  3. One coding question, knowledge about devo...read more

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Trianz Data Scientist Interview Process

based on 2 interviews

Interview experience

4
  
Good
View more
Trianz Data Scientist Salary
based on 5 salaries
₹4 L/yr - ₹12 L/yr
49% less than the average Data Scientist Salary in India
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