Loylty Rewardz Mngt Data Scientist Interview Questions

Skip to content Skip to footer

Community
Jobs
Companies
Salaries
For employers

Notifications

Elevate your career

Discover your earning potential, land dream jobs, and share work-life insights anonymously.

Want the inside scoop on your own company?

Check out your Company Bowl for anonymous work chats.

Bowls

Get actionable career advice tailored to you by joining more bowls.

Followed companies

Stay ahead in opportunities and insider tips by following your dream companies.

Job searches

Get personalised job recommendations and updates by starting your searches.

Loylty Rewardz Mngt

Is this your company?

Data Scientist Interview

18 Jun 2019

Anonymous interview candidate

Mumbai

Other Data Scientist interview reviews for Loylty Rewardz Mngt

Data Scientist Interview

11 Dec 2023

Anonymous employee

Mumbai

Accepted offer

Loylty Rewardz Mngt interviews Loylty Rewardz Mngt Data Scientist interviews Loylty Rewardz Mngt interview

Glassdoor

About / Press
Awards
Blog
Research
Contact Us
Guides

Employers

Free Employer Account
Employer Centre
Employers Blog

Information

Help
Guidelines
Terms of Use
Privacy and Ad Choices
Do Not Sell Or Share My Information
Cookie Consent Tool
Security

Work With Us

Advertisers
Careers

Download the App

Browse by:
Companies
Jobs
Locations
Communities
Recent posts

Want the inside scoop on your own company?

Check out your Company Bowl for anonymous work chats.

Bowls

Get actionable career advice tailored to you by joining more bowls.

Followed companies

Stay ahead in opportunities and insider tips by following your dream companies.

Job searches

Get personalised job recommendations and updates by starting your searches.

Data Scientist Interview

18 Jun 2019

Anonymous interview candidate

Mumbai

Other Data Scientist interview reviews for Loylty Rewardz Mngt

Data Scientist Interview

11 Dec 2023

Anonymous employee

Mumbai

Accepted offer

Declined offer

Negative experience

Easy interview

Application

I applied through a staffing agency. The process took 1 day. I interviewed at Loylty Rewardz Mngt (Mumbai) in Jun 2019

Interview

It was a day long process. they have directly called me for the face to face. First round was written based on probability, statistics and data science. no domain specific questions, after that HR said to wait for a week for results, haven't even asked for water. worse interview experience in a while.

Interview questions [1]

Question 1

probability and statistics related basic questions

1 Answer

Loylty Rewardz Mngt response

We appreciate you taking time to share the feedback. At the same regret the inconvenience caused to you. As a practice we do keep water bottles in all our meeting rooms and at the reception and also inform candidates about the duration of Data Science Challenge. We are taking your feedback and will be working on the areas wherein we missed delivering a great experience for you. Wish you all the best for your future.

Positive experience

Average interview

Application

The process took 1 day. I interviewed at Loylty Rewardz Mngt (Mumbai)

Interview

3-4 rounds for fresher. 1. Written test (Easy logical Reasoning questions) 2. Interview guesstimates, logical questions 3. Interview data science concepts ML, AI concepts 4. HR round for background check

Interview questions [1]

Question 1

5 coin tossed at least one head ML concepts: precision, recall, AUC etc Neural networks basics

Answer question

Data Scientist I Interview

8 Dec 2021

Anonymous employee

Mumbai

Accepted offer

Positive experience

Average interview

Application

I applied online. The process took 2 days. I interviewed at Loylty Rewardz Mngt (Mumbai) in Dec 2021

Interview

There were 3 rounds = 2 Technical + 1 HR. Process took 2 days. Both the technical rounds were scheduled on the same day. One with Data Science Manager and other with Data Science VP. First round was schedules for half an hour but it got extended till 1 hour. Second round got completed within half an hour. In the first round the questions related to your previous work, ML algorithms, SQL and python coding were asked. Also they asked the scenario based questions. In the second round, small case study was given which was quite easy.

Interview questions [1]

Question 1

1. Explain working of XGBoost, their hyperparameters. 2. SQL coding questions like join and merge. 3. What is underfitting, overfitting and generalized model. 4. Explain confusion matrix, AUC.

Answer question