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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

Data Scientist Interview Questions & Answers

Chetu user image Abhilasha Dimble

posted on 22 Feb 2024

Interview experience
1
Bad
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...

Interview Preparation Tips

Interview preparation tips for other job seekers - Guys, interviewer is really wierd...very rude...
Starts interview with lots of questions..
He interrupts me in every question's answer.. doesn't even ready listen my answers ...
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 Apr 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. How does fbpropher forecasting model works and how is can be used to forecsst trafffic
  • Ans. 

    fbprophet is a forecasting model developed by Facebook that uses time series data to make predictions.

    • fbprophet is an open-source forecasting tool developed by Facebook's Core Data Science team.

    • It is based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.

    • fbprophet can be used to forecast traffic by providing historical data on traffic patterns and usi...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Thourough with maths of forecasting techniques and parameter tuning

I applied via Approached by Company and was interviewed in Sep 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. Basic DS question like how to handle missing features
Round 3 - One-on-one 

(1 Question)

  • Q1. Case study based questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Its very easy interview. Can easily crack if we have very basic knowledge in python, DS
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Dec 2024. There were 3 interview rounds.

Round 1 - Assignment 

Basic self evaluation test.

Round 2 - Technical 

(3 Questions)

  • Q1. What project I have completed and follow-up questions on that?
  • Q2. How to handle class imbalance.
  • Ans. 

    Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.

    • Use resampling techniques like oversampling or undersampling to balance the classes.

    • Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.

    • Adjust class weights in the model to give more importance to minority class.

    • Use evaluation metrics like F1 score, precision, r...

  • Answered by AI
  • Q3. Basic Python coding questions.
Round 3 - Technical 

(2 Questions)

  • Q1. Data-related questions.
  • Q2. ML Ops questions.

Interview Preparation Tips

Topics to prepare for Amdocs Data Scientist interview:
  • Python
  • MLOPS
Interview preparation tips for other job seekers - Prepare your projects well. And be ready for basic python coding questions. Prepare MlOps roles as well.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

It is nice to do work

Round 2 - Aptitude Test 

It helps in understanding the 5

Round 3 - Coding Test 

It helps a lot in company

Round 4 - Technical 

(5 Questions)

  • Q1. How to do job in company?
  • Q2. What I should do?
  • Q3. How to do work?
  • Q4. What should I do
  • Q5. What is the goal?
  • Ans. 

    The goal of a Data Analyst is to analyze data to extract valuable insights and make data-driven decisions.

    • Identify trends and patterns in data

    • Create visualizations to communicate findings

    • Provide actionable recommendations based on data analysis

  • Answered by AI

I applied via Referral and was interviewed in Mar 2020. There were 5 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. Projects, Out of box thinking
  • Q2. Few significant accomplishments in previous companies
  • Ans. 

    Implemented data-driven strategies to increase revenue by 15% in previous company.

    • Developed predictive models to optimize pricing strategies

    • Identified key customer segments for targeted marketing campaigns

    • Automated data collection and analysis processes for efficiency

    • Collaborated with cross-functional teams to implement data-driven decisions

  • Answered by AI
  • Q3. Tools and technologies
  • Q4. Case study. Problem statement given and asked to provide a solution

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident. If you do not have a clue on any qn asked , admit it. Quote real time work examples whenever a qn is asked. Explain how you had done it in your previous companies.

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 53 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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