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Bharti Airtel Senior Data Scientist Interview Questions and Answers

Updated 30 Sep 2023

Bharti Airtel Senior Data Scientist Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Instahyre and was interviewed before Sep 2022. 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 - One-on-one 

(1 Question)

  • Q1. Technical questions related to NLP, Computer Vision and Projects that I worked on. Detailed discussion on evaluation metrics that I used.
Round 3 - One-on-one 

(1 Question)

  • Q1. Interview with the Manager to whom I was going to report, it was mostly related to Deep Leaning in which questions related to batch normalisation, various activation functions along with drawbacks were ask...
Round 4 - Aptitude Test 

A simple aptitude test was organised but it was not an eliminator, just to check your aptitude

Interview Preparation Tips

Interview preparation tips for other job seekers - It's the easiest round, if you clear the second round of interview with the manager then you are through. Just ensure that concepts are clear, nothing fancy just ensure that your base is clear and you are able to explain your projects clearly.

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Will be two questions to solve

Round 2 - Technical 

(2 Questions)

  • Q1. Details about ML,DL
  • Q2. Detials about Projects
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. It was around recent projects, did an entire walkthrough of one of my projects related to deduplication of nlp content. At some of the stages, alternative objectives were evaluated. Ex: How to handle incre...
Round 2 - Technical 

(1 Question)

  • Q1. This was more on the depth of ML concepts. Information loss vs dimensional reductions, transformer architecture, metrics for different problem settings, loss functions, outlier analysis, drift detection et...
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Basic ML questions were asked.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Apr 2022. There were 6 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. All technical questions related to profile
Round 3 - Technical 

(1 Question)

  • Q1. Data science questions
Round 4 - Behavioral 

(1 Question)

  • Q1. Current role and experience related
Round 5 - Technical 

(2 Questions)

  • Q1. Technical questions
  • Q2. Data science questions by onshore team
Round 6 - HR 

(2 Questions)

  • Q1. Salary joining date
  • Q2. Expected salary joining date
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Jan 2023. There were 4 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Basic SQL, Basic questions around discriptive stats and ML concepts. Questions around previous projects
Round 2 - Technical 

(1 Question)

  • Q1. Basic Stats and ML questions, questions around linear models, outliers handling. End to end model pipeline for scinario.
Round 3 - Coding Test 

Simple EDA and model building on toy data.

Round 4 - Behavioral 

(1 Question)

  • Q1. Managers access story telling and articulation skills.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be honest, don't try to Google or take help from any other sources. If you are not familiar with the answers ask for clues. Most of the questions were around the projects you have done previously, they dig deeper!
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Sep 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Coding on Computer vision, NLP and Recommendation system, any 1 could be picked and solved

Round 2 - Technical 

(2 Questions)

  • Q1. Integration and differentiation, Machine learning math behind it
  • Q2. Linear regression assumptions, SVM model
Round 3 - HR 

(2 Questions)

  • Q1. Expectation from the role and compensation
  • Ans. 

    Expectations include utilizing data to drive insights and decisions, contributing to business growth, and competitive compensation.

    • Utilize data to drive insights and decisions

    • Contribute to business growth through data-driven strategies

    • Expect competitive compensation based on experience and skills

  • Answered by AI
  • Q2. Behavioral questions

Interview Preparation Tips

Topics to prepare for Jio Data Scientist interview:
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • NLP
  • Python
Interview preparation tips for other job seekers - Good at coding and Math behind every model in Machine learning
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Sep 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Business problem and how that can be solved using data science
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Jan 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Python and SQL coding test along with basic data science questions
Python was on basic syntax. SQL was on medium difficulty

Round 2 - Technical 

(1 Question)

  • Q1. Correlation vs causation Central limit theorem Support Vector Machines Confusion matrix Basics of Deep Learning - activation function, optimizers and initialisation techniques Z score, P value Differenc...
Round 3 - HR 

(1 Question)

  • Q1. Questions about my background My hobbies and interests

Interview Preparation Tips

Interview preparation tips for other job seekers - Have strong foundational knowledge in all the topics
They expect you to know broad areas even though it might be of shallow depth
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Explain projects u had worked

Bharti Airtel Interview FAQs

How many rounds are there in Bharti Airtel Senior Data Scientist interview?
Bharti Airtel interview process usually has 4 rounds. The most common rounds in the Bharti Airtel interview process are One-on-one Round, Resume Shortlist and Aptitude Test.
How to prepare for Bharti Airtel Senior 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 Bharti Airtel. The most common topics and skills that interviewers at Bharti Airtel expect are Natural Language Processing, Coding, Deep Learning, Machine Learning and Python.

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Bharti Airtel Senior Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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Bharti Airtel Senior Data Scientist Salary
based on 13 salaries
₹19 L/yr - ₹50 L/yr
10% more than the average Senior Data Scientist Salary in India
View more details

Bharti Airtel Senior Data Scientist Reviews and Ratings

based on 3 reviews

3.0/5

Rating in categories

1.7

Skill development

3.2

Work-life balance

3.2

Salary

3.4

Job security

1.7

Company culture

1.7

Promotions

3.0

Work satisfaction

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