Data Scientist applicants have rated the interview process at Philips with 2.8 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 75% positive. To compare, the company-average is 66.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 17 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at Philips overall takes an average of 26 days.
Common stages of the interview process at Philips as a Data Scientist according to 4 Glassdoor interviews include:
Phone interview: 21%
Presentation: 16%
Background check: 11%
Drug test: 11%
Personality test: 11%
One on one interview: 11%
Group panel interview: 11%
Skills test: 5%
IQ intelligence test: 5%
Here are the most commonly searched roles for interview reports -
2 Rounds - Both technical, Was mostly about the projects and the work that I have done in the company. Also, technical details about the expectations from me as a data scientist.
Very easy and biased interview process, No need to prepare for interviews if you can talk nicely with the interviewers
Dying company and pathetic management. Managers will favour their chosen ones only
I applied in-person. I interviewed at Philips (Bangalore Rural)
Interview
Tech rounds
Managerial round
HR round
These were the different rounds were there. Every question asked will be based upon data science umbrella. Technical rounds and a screening coding test will be there. Based on that results you will be going to next phase of interview for managerial round.
The process took 3 days. I interviewed at Philips (Bengaluru) in Apr 2023
Interview
3 rounds - Round 1 Technical MCQ + Coding question Round 2 Technical Interview ( Projects + Background Knowledge) Round 3 Managerial Round For data science profile you must have to be good in maths and programming You must needed to be good understanding of Machine learning at least the basics
Interview questions [1]
Question 1
1. Tell about yourself ? 2. What Project on which you are working ? 3. Question on Machine Learning