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Philips Data Scientist Interview Questions, Process, and Tips

Updated 17 Jul 2024

Top Philips Data Scientist Interview Questions and Answers

Philips Data Scientist Interview Experiences

3 interviews found

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

15 statistical and logical questions

Round 2 - Coding Test 

2 easy to medium coding problmes. e.g. swapping the array.

Round 3 - Technical 

(2 Questions)

  • Q1. What is regression ? how it works
  • Ans. 

    Regression is a statistical method used to analyze the relationship between variables and predict outcomes.

    • Regression models the relationship between a dependent variable and one or more independent variables.

    • It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.

    • Examples include linear regression, polynomial regression, and logistic regression.

  • Answered by AI
  • Q2. Questions on recent projects
Round 4 - HR 

(1 Question)

  • Q1. Basic back ground check

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Questions related to Python , ML, Deep Learning and resume based questions
Round 2 - One-on-one 

(1 Question)

  • Q1. Project related
Round 3 - HR 

(1 Question)

  • Q1. Usual HR questions

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I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Describe a decision tree
  • Ans. 

    A decision tree is a flowchart-like model that shows the possible outcomes of a decision based on certain conditions.

    • It is a tree-like structure with nodes representing decisions and branches representing outcomes

    • Each node has a condition that determines which branch to follow

    • It is commonly used in machine learning for classification and regression tasks

    • Example: A decision tree for predicting whether a customer will bu...

  • Answered by AI
  • Q2. What is random forest
  • Ans. 

    Random forest is an ensemble learning method for classification, regression and other tasks.

    • Random forest builds multiple decision trees and combines their outputs to improve accuracy.

    • It is a popular machine learning algorithm due to its high accuracy and ability to handle large datasets.

    • Random forest can be used for both classification and regression tasks.

    • It is resistant to overfitting and can handle missing data.

    • Exa...

  • Answered by AI
  • Q3. What is neural network
  • Ans. 

    Neural network is a type of machine learning algorithm inspired by the structure and function of the human brain.

    • Consists of layers of interconnected nodes that process information

    • Used for tasks such as image recognition, natural language processing, and prediction

    • Can be trained using supervised, unsupervised, or reinforcement learning

    • Examples include convolutional neural networks, recurrent neural networks, and deep n

  • Answered by AI
Round 2 - Coding Test 

Leetcode style coding

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare deep learning and AI. Practice leetcode

Skills evaluated in this interview

Data Scientist Jobs at Philips

View all

Interview questions from similar companies

I applied via Campus Placement

Interview Preparation Tips

Round: Resume Shortlist
Experience: It was a brief 15 minute interview and done!
Tips: Be fully prepared on your resume.

General Tips: Be fully prepared on reume
Skill Tips: Be fully prepared on resume
Skills: Basics Of Machine Learning
Duration: 2
College Name: IIT Madras
Motivation: Intrest in data science

I applied via Company Website and was interviewed before May 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Basics of regression, bias variance

Interview Preparation Tips

Topics to prepare for GE Healthcare Data Scientist interview:
  • python
Interview preparation tips for other job seekers - ML basics. Some insight into past projects
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Coding Test 

2 leetcode easy questions were asked

Round 2 - Case Study 

Data science case study

Round 3 - HR 

(1 Question)

  • Q1. Why would you join us
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Sep 2023. There was 1 interview round.

Round 1 - Aptitude Test 

Basic college level, basic logic based questions and some mathematical questions like speed Avg questions

Interview Preparation Tips

Interview preparation tips for other job seekers - College placement material for aptitude
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Basic python questions

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Referral and was interviewed in Nov 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Ml algorithms ,deeplearning, nlp questioons and projects

Round 2 - Coding Test 

Python basic codeing

Interview Preparation Tips

Interview preparation tips for other job seekers - good and great

Data Scientist Interview Questions & Answers

Siemens user image Shaktiprasad Rudrawar

posted on 3 Feb 2025

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I was interviewed before Feb 2024.

Round 1 - Group Discussion 

Predictive modeling project

Round 2 - Technical 

(1 Question)

  • Q1. Explain the project and that related questions only.
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Philips Interview FAQs

How many rounds are there in Philips Data Scientist interview?
Philips interview process usually has 3 rounds. The most common rounds in the Philips interview process are Technical, Coding Test and HR.
How to prepare for Philips 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 Philips. The most common topics and skills that interviewers at Philips expect are Python, Machine Learning, Healthcare, Data Mining and Analytical.
What are the top questions asked in Philips Data Scientist interview?

Some of the top questions asked at the Philips Data Scientist interview -

  1. what is regression ? how it wo...read more
  2. What is random for...read more
  3. What is neural netw...read more

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Philips Data Scientist Interview Process

based on 2 interviews

Interview experience

4
  
Good
View more
Philips Data Scientist Salary
based on 43 salaries
₹10.1 L/yr - ₹40.4 L/yr
59% more than the average Data Scientist Salary in India
View more details

Philips Data Scientist Reviews and Ratings

based on 11 reviews

3.5/5

Rating in categories

2.7

Skill development

3.6

Work-life balance

3.3

Salary

3.0

Job security

3.5

Company culture

2.5

Promotions

2.9

Work satisfaction

Explore 11 Reviews and Ratings
Data Scientist I

Bangalore / Bengaluru

8-13 Yrs

Not Disclosed

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