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Wolters Kluwer Data Scientist Interview Questions and Answers

Updated 30 May 2024

Wolters Kluwer Data Scientist Interview Experiences

3 interviews found

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Asked about some machine learning concepts like NLP, TensorFlow etc

Data Scientist Interview Questions & Answers

user image Prasad Chinchole

posted on 19 Mar 2024

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Tell me about your self

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Data Scientist Interview Questions & Answers

user image Abhishek Verma

posted on 16 May 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Referral and was interviewed before May 2023. There were 4 interview rounds.

Round 1 - Aptitude Test 

180 mins of online test with camera ON. Major topics include Excel, Aptitude, Python, Statistics and Case Study

Round 2 - Technical 

(2 Questions)

  • Q1. Explain Apriori Method
  • Ans. 

    Apriori method is a popular algorithm for frequent itemset mining in data mining.

    • Used for finding frequent itemsets in transactional databases

    • Based on the concept of association rule mining

    • Involves generating candidate itemsets and pruning based on support threshold

    • Example: If {milk, bread} is a frequent itemset, then {milk} and {bread} are also frequent

  • Answered by AI
  • Q2. Explain train-test in Scikit learn
  • Ans. 

    Train-test split is a method used to divide a dataset into training and testing sets for model evaluation in Scikit learn.

    • Split the dataset into two subsets: training set and testing set

    • Training set is used to train the model, while testing set is used to evaluate the model's performance

    • Common split ratios are 70-30 or 80-20 for training and testing sets

    • Example: X_train, X_test, y_train, y_test = train_test_split(X, y,

  • Answered by AI
Round 3 - One-on-one 

(2 Questions)

  • Q1. Explain about projects in current company
  • Q2. Why do you want to move to an individual contributor role from a managerial position
Round 4 - One-on-one 

(2 Questions)

  • Q1. Why do you want to join Wolters Kluwer?
  • Q2. Discussion around analytics and managerment reporting deliverables in current org.

Interview Preparation Tips

Topics to prepare for Wolters Kluwer Data Scientist interview:
  • Advanced Excel
  • Python
  • Power Bi
  • Pivot Table
Interview preparation tips for other job seekers - You must be an advanced Excel user and decent knowledge of Python.

Skills evaluated in this interview

Interview questions from similar companies

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

I applied via Approached by Company and was interviewed in Nov 2024. There were 3 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Basicn details to check for qualifications
Round 2 - Technical 

(1 Question)

  • Q1. About my projects
Round 3 - Technical 

(1 Question)

  • Q1. More details about ML models
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. About projects and then questions related to ML and DL. Mostly focused on DL part
  • Q2. What is the difference between Adam optimizer and Gradient Descent Optimizer?
  • Ans. 

    Adam optimizer is an extension to the Gradient Descent optimizer with adaptive learning rates and momentum.

    • Adam optimizer combines the benefits of both AdaGrad and RMSProp optimizers.

    • Adam optimizer uses adaptive learning rates for each parameter.

    • Gradient Descent optimizer has a fixed learning rate for all parameters.

    • Adam optimizer includes momentum to speed up convergence.

    • Gradient Descent optimizer updates parameters b...

  • Answered by AI
  • Q3. When to use Relu and when not?
  • Ans. 

    Use ReLU for hidden layers in deep neural networks, avoid for output layers.

    • ReLU is commonly used in hidden layers to introduce non-linearity and speed up convergence.

    • Avoid using ReLU in output layers for regression tasks as it can lead to vanishing gradients.

    • Consider using Leaky ReLU or Sigmoid for output layers depending on the task.

    • ReLU is computationally efficient and helps in preventing the vanishing gradient prob...

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Aug 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. How can Logistic regression be applied for multiclasstext classification
  • Ans. 

    Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.

    • One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.

    • Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.

    • Evaluate the model using appropriate...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before 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 - Technical 

(3 Questions)

  • Q1. What are the various projects that have you implemented in your current org ?
  • Ans. 

    I have implemented several projects in my current organization.

    • Developed a predictive model to forecast customer churn

    • Built a recommendation system to personalize product recommendations

    • Created a fraud detection model to identify fraudulent transactions

    • Implemented a natural language processing model for sentiment analysis

    • Designed an anomaly detection system to detect network intrusions

  • Answered by AI
  • Q2. How is y9ur project related to business problem and how you have solved it
  • Ans. 

    Developed a predictive model to identify potential customer churn for a telecom company

    • Identified key factors contributing to customer churn through exploratory data analysis

    • Built a logistic regression model to predict customer churn with 85% accuracy

    • Provided actionable insights to the business team to reduce customer churn and improve customer retention

    • Implemented the model in production environment using Python and S

  • Answered by AI
  • Q3. Why you are looking out for a change
  • Ans. 

    Seeking new challenges and growth opportunities in the field of data science.

    • Looking for a more challenging role to further develop my skills and knowledge in data science.

    • Interested in exploring new industries and applying data science techniques to solve different problems.

    • Seeking a company with a strong data-driven culture and a focus on innovation.

    • Want to work with a diverse team of data scientists and learn from t...

  • Answered by AI
Round 3 - One-on-one 

(3 Questions)

  • Q1. Define your work
  • Ans. 

    As a Data Scientist, I analyze and interpret complex data to help businesses make informed decisions.

    • I collect and clean data from various sources.

    • I use statistical techniques and machine learning algorithms to analyze data.

    • I develop predictive models and algorithms to solve business problems.

    • I communicate findings and insights to stakeholders through visualizations and reports.

  • Answered by AI
  • Q2. What motivates you to join our company
  • Ans. 

    I am motivated to join your company because of the challenging and innovative work environment.

    • I am excited about the opportunity to work with cutting-edge technologies and tools in data science.

    • Your company's reputation for being at the forefront of data-driven decision making is inspiring.

    • I am impressed by the collaborative and diverse team culture that fosters continuous learning and growth.

    • The company's commitment ...

  • Answered by AI
  • Q3. Why looking out for a change
  • Ans. 

    Seeking new challenges and growth opportunities in the field of data science.

    • Looking for a more challenging role to apply and expand my skills

    • Interested in working with cutting-edge technologies and techniques

    • Seeking a company with a strong data-driven culture

    • Want to work on diverse projects and industries to broaden my experience

    • Desire to make a bigger impact and contribute to solving complex problems

  • Answered by AI

Interview Preparation Tips

Topics to prepare for NCR Voyix Data Scientist interview:
  • Algorithms
  • Data Sciene
  • Python
Interview preparation tips for other job seekers - Be technically prepared on the projects you have worked on
Interview experience
3
Average
Difficulty level
Hard
Process Duration
2-4 weeks
Result
No response

I applied via Referral and was interviewed in Jul 2024. There were 3 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. Why did you choose infor
  • Ans. 

    I chose Infor because of its reputation for innovative technology solutions and its commitment to employee development.

    • Infor is known for its cutting-edge technology solutions in the industry.

    • I was impressed by Infor's focus on employee growth and development opportunities.

    • I believe Infor's values align with my own professional goals and aspirations.

  • Answered by AI
  • Q2. Explain how you work under stress
  • Ans. 

    I thrive under pressure by staying organized, prioritizing tasks, and maintaining a positive attitude.

    • I stay organized by creating to-do lists and breaking down tasks into manageable steps.

    • I prioritize tasks based on deadlines and importance to ensure that critical work is completed first.

    • I maintain a positive attitude by taking short breaks to recharge, practicing deep breathing exercises, and seeking support from col

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. Everything mentioned on CV
  • Q2. Some coding questions
Round 3 - Technical 

(2 Questions)

  • Q1. Same questions as first interview but deeper approach
  • Q2. Coding is involved again
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Nov 2024. There were 3 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Basicn details to check for qualifications
Round 2 - Technical 

(1 Question)

  • Q1. About my projects
Round 3 - Technical 

(1 Question)

  • Q1. More details about ML models
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Dec 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Standard question from sql and python in hackerrank

Round 2 - Technical 

(2 Questions)

  • Q1. Reverse a linked list
  • Ans. 

    Reverse a linked list by changing the direction of pointers

    • Start with three pointers: current, previous, and next

    • Iterate through the linked list, updating pointers to reverse the direction

    • Return the new head of the reversed linked list

  • Answered by AI
  • Q2. Question based on joins and subquery
Round 3 - HR 

(2 Questions)

  • Q1. More question about project
  • Q2. What do you know about genAI

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep it simple and be honest

Skills evaluated in this interview

Wolters Kluwer Interview FAQs

How many rounds are there in Wolters Kluwer Data Scientist interview?
Wolters Kluwer interview process usually has 2 rounds. The most common rounds in the Wolters Kluwer interview process are One-on-one Round, Technical and Aptitude Test.
How to prepare for Wolters Kluwer 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 Wolters Kluwer. The most common topics and skills that interviewers at Wolters Kluwer expect are SQL, Python, Computer science, Data Analysis and Coding.
What are the top questions asked in Wolters Kluwer Data Scientist interview?

Some of the top questions asked at the Wolters Kluwer Data Scientist interview -

  1. Explain train-test in Scikit le...read more
  2. Explain Apriori Met...read more
  3. Discussion around analytics and managerment reporting deliverables in current o...read more

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Wolters Kluwer Data Scientist Interview Process

based on 3 interviews

Interview experience

4
  
Good
View more
Wolters Kluwer Data Scientist Salary
based on 51 salaries
₹8 L/yr - ₹16 L/yr
16% less than the average Data Scientist Salary in India
View more details

Wolters Kluwer Data Scientist Reviews and Ratings

based on 7 reviews

3.7/5

Rating in categories

3.9

Skill development

4.0

Work-life balance

3.1

Salary

4.7

Job security

3.9

Company culture

2.7

Promotions

3.6

Work satisfaction

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