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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. First Round: Basic Statistics, Basic Python Programming, Past Projects. Second Round: Past Projects, Questions from computer vision, NLP, SQL, Basic Python.
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

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all Resume tips
Round 2 - Coding Test 

2 coding questions - one on binary tree and list operations.

Round 3 - Technical 

(2 Questions)

  • Q1. Xgboost explanation
  • Ans. 

    Xgboost is a popular machine learning algorithm known for its speed and performance in handling large datasets.

    • Xgboost stands for eXtreme Gradient Boosting, which is an implementation of gradient boosted decision trees.

    • It is widely used in Kaggle competitions and other machine learning tasks due to its efficiency and accuracy.

    • Xgboost is known for its ability to handle missing data, regularization techniques, and parall...

  • Answered by AI
  • Q2. Data structures question compulsory

Skills evaluated in this interview

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

I was interviewed in Oct 2023.

Round 1 - Coding Test 

Based on topological sort

Round 2 - Technical 

(1 Question)

  • Q1. Ml baiscs like LR, SVM
Round 3 - Technical 

(1 Question)

  • Q1. Ml design questions were asked
Round 4 - HR 

(1 Question)

  • Q1. Why do you want to join
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Company Website and was interviewed in May 2024. There was 1 interview round.

Round 1 - HR 

(2 Questions)

  • Q1. Why you are interested in working for clipchamp at Microsoft/
  • Q2. How your career goals align with this role?

I applied via Company Website and was interviewed before Apr 2021. 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 Resume tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Why Microsoft? What products do you use?
Round 3 - Technical 

(1 Question)

  • Q1. Discussion on projects written in resume and related problems. Some stats

Interview Preparation Tips

Interview preparation tips for other job seekers - Be ready to defend your points written in resume.
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 Nov 2023. There were 2 interview rounds.

Round 1 - Case Study 

Detailed project discussion and 1 dsa

Round 2 - Technical 

(1 Question)

  • Q1. Common ml questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Study your projects well
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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

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Philips Innovation Campus Data Scientist Salary
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₹8 L/yr - ₹24.8 L/yr
At par with the average Data Scientist Salary in India
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