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Finsire Data Scientist Interview Questions and Answers

Updated 2 Oct 2024

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Data Scientist Interview Questions

user image Anonymous

posted on 2 Oct 2024

Interview experience
1
 Bad
Difficulty level
 -
Duration
 -
Result
 -

2 Interview Rounds

1

Aptitude Test Round

It was easy to crack and requires less preparation

2

Coding Test Round

This one was also easy for me

Interview questions from similar companies

I applied via Campus Placement and was interviewed in Aug 2021.

3 Interview Rounds

1

Assignment Round

Comapny had provided data and we have performs simple machine learning tasks like clustering and PCA(all basic).

2

Case Study Round

In 2nd round, there was case study on new data from them and talk about the assignment of 1st round. The case study was some what tough as its consists of biology terms and related. Need proper understanding about biology for it and good observation through data they provided. Round was about 1 hr and more.

3

HR Round (4 Questions)

  • Q1. Why should we hire you?
  • Q2. Where do you see yourself in 5 years?
  • Q3. What are your strengths and weaknesses?
  • Q4. Tell me about yourself.

Interview Preparation Tips

Topics to prepare for Elucidata Data Science Intern interview:
  • DevOps tools and biology
Interview preparation tips for other job seekers - Observation of data and contents properly during 2nd round is crucial and having biology knowledge is plus point. Lastly, have confidence as it will play important role in hiring you.

Finsire Interview FAQs

How many rounds are there in Finsire Data Scientist interview?
Finsire interview process usually has 2 rounds. The most common rounds in the Finsire interview process are Aptitude Test and Coding Test.
How to prepare for Finsire 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 Finsire. The most common topics and skills that interviewers at Finsire expect are Artificial Intelligence, Data Science, Deep Learning, Machine Learning and Predictive Modeling.

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