Bharti AXA | Assistant Manager – Data Science & Analytics

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Interview Experiences

Bharti AXA | Assistant Manager - Data Science & Analytics

14 Aug 2020 | Aditya Bhattar

About Bharti AXA : Bharti Enterprises is one of India’s leading business groups with interests in telecom, agri-business, financial services, retail and manufacturing, with many firsts and innovations to its credit. The AXA Group is a worldwide leader in insurance and asset management serving 105 million clients, individuals and businesses, in 61 countries and offers insurance, savings and investment products and services.

Bharti AXA General Insurance Company Limited is a joint venture between Bharti Enterprises and AXA. The joint venture company has a 51% stake from Bharti Enterprises and 49% stake of the AXA Group. We have PAN India presence through 135 branches and offer insurance solutions for motor and two-wheeler, health and critical illness, property and student, individual and family travel and crop insurance.


Interviewing for Role : Assistant Manager – Data Analyst


Key Skills Required : Machine Learning, Data Pre-processing, EDA, NLP, Python/R


Round 1 | Telephonic Interview by HR

This was a call directly from the HR to understand my profile better. We discussed my past role, educational background and about the program I am pursuing at GreyAtom for Data Science and skills I know of.

It also included questions around my notice period and how early can I join


Round 2 | Interview by Technical Expert

The interview started with “Tell me about yourself and your current role & responsibilities at work” and went on to understanding the skills and work I have done at work.

Interviewer then went to understand my data science skills and wanted to know more about the projects I demonstrated on my resume.

Later he gave me a problem statement and asked me to explain my approach. Some of the others questions asked were,

(1) Gave a data set and asked me to give him some insights

(2) My favorite algorithm and why

(3) What are the algorithms I have worked with and asked to explain Random forest & K-means clustering


Round 3 | Hiring Challenge

I was given problem statement around Fraud Detection on auto insurance claims data set


Round 4 | Final Technical round by Head of Data Science

This is a pure technical round focused to understand the tech skills, projects build and NLP


Round 5 | Final HR round

General questions to test cultural fitment


Final Outcome : SELECT


What I think worked for me : 

I think 3 things worked well for me

(1) Projects shown in the CV – explained thoroughly each and every step

(2) Past Background

(3) Communications skills

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