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Philips Innovation Campus Data Scientist Interview Questions and Answers

Updated 18 Nov 2024

Philips Innovation Campus Data Scientist Interview Experiences

2 interviews found

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

(1 Question)

  • Q1. In depth project based qiestions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Aptitude test involving coding

Round 2 - Technical 

(1 Question)

  • Q1. Questions on Data science related
Round 3 - HR 

(1 Question)

  • Q1. Basic details round

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Interview questions from similar companies

Interview Questionnaire 

1 Question

  • Q1. What PCA, Decision tree and computer vision
  • Ans. 

    PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.

    • PCA is used to reduce the number of variables in a dataset while retaining the most important information.

    • Decision trees are used to classify data based on a set of rules and conditions.

    • Computer vision involves usin...

  • Answered by AI

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.

I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. What is data science
  • Ans. 

    Data science is the field of extracting insights and knowledge from data using various techniques and tools.

    • Data science involves collecting, cleaning, and analyzing data to extract insights.

    • It uses various techniques such as machine learning, statistical modeling, and data visualization.

    • Data science is used in various fields such as finance, healthcare, and marketing.

    • Examples of data science applications include fraud...

  • Answered by AI
  • Q2. What is phyton and R
  • Ans. 

    Python and R are programming languages commonly used in data science and statistical analysis.

    • Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.

    • R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.

    • Both languages are popular choices for data scientists and hav...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Provide the tips how to face the interview

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Explain xgboost
  • Ans. 

    XGBoost is a popular machine learning algorithm known for its speed and performance in gradient boosting.

    • XGBoost stands for eXtreme Gradient Boosting.

    • It is an implementation of gradient boosted decision trees designed for speed and performance.

    • XGBoost is widely used in machine learning competitions and has become a popular choice for data scientists.

    • It can handle missing data and is optimized for parallel processing.

    • XG...

  • Answered by AI
  • Q2. Explain decision tree
  • Ans. 

    Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.

    • Decision tree is a supervised learning algorithm used for classification and regression tasks.

    • It breaks down a dataset into smaller subsets based on different attributes.

    • Each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome...

  • Answered by AI

Skills evaluated in this interview

I applied via Referral and was interviewed in May 2022. There were 3 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. Interview questions were mostly based on basic SQL and python queries
Round 3 - One-on-one 

(1 Question)

  • Q1. Question were asked on machine learning algorithms. There were few questions related to deep learning and image processing.Interviewer has asked me write live code on some moderate level DSA question.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare basics of SQL
Prepare some DSA ( moderate level will be sufficient)
Machine learning (deep understanding of algorithms)
Basic understanding of deep learning

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
3
Average
Difficulty level
Hard
Process Duration
2-4 weeks
Result
No response

I applied via Walk-in and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Different type od joins
  • Ans. 

    Different types of joins are used in SQL to combine rows from two or more tables based on a related column between them.

    • INNER JOIN: Returns rows when there is at least one match in both tables.

    • LEFT JOIN (or LEFT OUTER JOIN): Returns all rows from the left table, and the matched rows from the right table.

    • RIGHT JOIN (or RIGHT OUTER JOIN): Returns all rows from the right table, and the matched rows from the left table.

    • FUL...

  • Answered by AI
  • Q2. Python assessment question

Interview Preparation Tips

Topics to prepare for Honeywell Technology Solutions Data Scientist interview:
  • Python
  • SQL
  • Power Bi

Skills evaluated in this interview

Philips Innovation Campus Interview FAQs

How many rounds are there in Philips Innovation Campus Data Scientist interview?
Philips Innovation Campus interview process usually has 2 rounds. The most common rounds in the Philips Innovation Campus interview process are Technical, Aptitude Test and HR.
What are the top questions asked in Philips Innovation Campus Data Scientist interview?

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

  1. Questions on Data science rela...read more
  2. In depth project based qiesti...read more
  3. Basic details ro...read more

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Philips Innovation Campus Data Scientist Interview Process

based on 2 interviews

Interview experience

4.5
  
Good
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Philips Innovation Campus Data Scientist Salary
based on 40 salaries
₹8 L/yr - ₹24.8 L/yr
At par with the average Data Scientist Salary in India
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3.5/5

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