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Kyndryl Senior Data Scientist Interview Questions, Process, and Tips

Updated 22 Feb 2024

Kyndryl Senior Data Scientist Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(15 Questions)

  • Q1. Extract only India Players from dictionary (using list comprehension) CSK = {"Dhoni" : "India", "Du Plessis" : "South Africa", "RituRaj": "India", "Peterson" : "England", "Lara" : "West Indies"}
  • Ans. 

    Extract India players from a dictionary using list comprehension

    • Use list comprehension to filter out players with nationality as 'India'

    • Create a new list with only the India players

    • Example: [player for player, nationality in CSK.items() if nationality == 'India']

  • Answered by AI
  • Q2. Find Common Elements in three lists using sets arr1 = [1,5,10,20,40,80,100] arr2 = [6,7,20,80,100] arr3 = [3,4,15,20,30,70,80,120]
  • Ans. 

    Use sets to find common elements in three lists.

    • Convert the lists to sets for efficient comparison.

    • Use the intersection method to find common elements.

    • Return the common elements as a set or list.

  • Answered by AI
  • Q3. Check if you found any error in the below code: school_name = 'ABC School' def __init__(self, name, roll_no): self.name = name self.roll_no = roll_no def show(self)" print('Ins...
  • Q4. How do you print the 3, 5 and 7th row in a database (Python - use Pandas)
  • Ans. 

    Printing specific rows from a database using Pandas in Python

    • Use Pandas library to read the database into a DataFrame

    • Use iloc method to select specific rows by index

    • Print the selected rows

  • Answered by AI
  • Q5. Split Dataset in train, test and validation (import library and split dataset)
  • Ans. 

    Use scikit-learn library to split dataset into train, test, and validation sets

    • Import train_test_split from sklearn.model_selection

    • Specify test_size and validation_size when splitting the dataset

    • Example: X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

  • Answered by AI
  • Q6. Print Unique values in the dataset and delete the duplicate rows (SQL)
  • Ans. 

    Use DISTINCT keyword to print unique values and DELETE with a subquery to remove duplicate rows.

    • Use SELECT DISTINCT column_name FROM table_name to print unique values.

    • Use DELETE FROM table_name WHERE row_id NOT IN (SELECT MAX(row_id) FROM table_name GROUP BY column_name) to delete duplicate rows.

  • Answered by AI
  • Q7. Print rows where a certain criterion is met (ex - in a dataset of employees select the ones whose salary is greater than 100000 - in SQL)
  • Ans. 

    Use SQL SELECT statement with WHERE clause to filter rows based on a specific criterion.

    • Use SELECT statement with WHERE clause to specify the criterion (ex: salary > 100000)

    • Example: SELECT * FROM employees WHERE salary > 100000;

    • Ensure proper syntax and column names are used in the query

  • Answered by AI
  • Q8. Print rows with the second highest criterion value without using offset function in SQL
  • Ans. 

    Use subquery to find rows with second highest criterion value in SQL without using offset function.

    • Use a subquery to find the maximum criterion value

    • Then use another subquery to find the maximum value that is less than the maximum value found in the first subquery

    • Finally, select rows with the second highest criterion value

  • Answered by AI
  • Q9. Print rows with the same set of values in column (these are not duplicates row - just the duplicates values in a column)
  • Ans. 

    Print rows with the same set of values in a column

    • Identify unique sets of values in the column

    • Group rows based on these unique sets of values

    • Print out the rows for each unique set of values

  • Answered by AI
  • Q10. Difference between Power BI and Tableau
  • Ans. 

    Power BI is a Microsoft product focused on business intelligence and data visualization, while Tableau is a standalone data visualization tool.

    • Power BI is more user-friendly and integrates well with other Microsoft products.

    • Tableau is known for its powerful data visualization capabilities and flexibility in creating complex visualizations.

    • Power BI is often preferred by organizations already using Microsoft products, wh...

  • Answered by AI
  • Q11. Limitations of Power BI and Tableau
  • Ans. 

    Power BI and Tableau have limitations in terms of data connectivity, customization, and pricing.

    • Limited data connectivity options compared to other tools

    • Limited customization capabilities for advanced analytics

    • High pricing for enterprise-level features

    • Tableau has better visualization capabilities but can be more complex to use

    • Power BI is more user-friendly but may lack certain advanced features

  • Answered by AI
  • Q12. What are the types of regression models, name them and explain them
  • Ans. 

    Types of regression models include linear regression, logistic regression, polynomial regression, ridge regression, and lasso regression.

    • Linear regression: used to model the relationship between a dependent variable and one or more independent variables.

    • Logistic regression: used for binary classification problems, where the output is a probability value between 0 and 1.

    • Polynomial regression: fits a curve to the data by...

  • Answered by AI
  • Q13. Difference in Linear and Logistic Regression
  • Ans. 

    Linear regression is used for continuous variables, while logistic regression is used for binary outcomes.

    • Linear regression predicts continuous outcomes, while logistic regression predicts binary outcomes.

    • Linear regression uses a linear equation to model the relationship between the independent and dependent variables.

    • Logistic regression uses the logistic function to model the probability of a binary outcome.

    • Linear reg...

  • Answered by AI
  • Q14. Difference in Random Forest and Decision Tree
  • Ans. 

    Random Forest is an ensemble method using multiple decision trees, while Decision Tree is a single tree-based model.

    • Random Forest is a collection of decision trees that are trained on random subsets of the data.

    • Decision Tree is a single tree structure that makes decisions by splitting the data based on features.

    • Random Forest reduces overfitting by averaging the predictions of multiple trees.

    • Decision Tree can be prone t...

  • Answered by AI
  • Q15. What is ETL and what are the types or examples of ETL tools
  • Ans. 

    ETL stands for Extract, Transform, Load. It is a process of extracting data from various sources, transforming it into a usable format, and loading it into a target database.

    • ETL tools include Informatica PowerCenter, Talend, Apache Nifi, Microsoft SQL Server Integration Services (SSIS), and IBM InfoSphere DataStage.

    • Extract: Data is extracted from various sources such as databases, files, APIs, etc.

    • Transform: Data is cl...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Kyndryl Senior Data Scientist interview:
  • Python
  • Pandas
  • Power Bi
  • Tableau
  • scikit
  • SQL
  • matplotlib
Interview preparation tips for other job seekers - Be genuine about how much you know. Interviewer will ask to introduce candidates and will ask how much they know about Data Science and how much does the candidate rank themselves on a scale of 10 in Python & SQL
JD does mention about TensorFlow and R, but those languages are not important and are only an advantage to the candidate's profile. Mainly the interviewer will be looking for someone who has a decent programming skill and knows about regression models which is very important.
There will be 2 Interviewers one of them will be asking Python & Regression model questions and the other one SQL ones along with Power BI and Tableau overview

Skills evaluated in this interview

Sopra Steria

Rated 4 for Job Security by our employees on AmbitionBox

Secure your future with a company that values your job stability.

Interview questions from similar companies

I was interviewed before Aug 2016.

Interview Preparation Tips

Round: Test
Experience: It was good
Total Questions: 20

Round: Technical Interview
Experience: It was good

Interview Questionnaire 

2 Questions

  • Q1. Simple programming and questions related to the subject in B Tech
  • Q2. Testing communication

Interview Preparation Tips

Round: Test
Experience: Aptitude , Reasoning

I was interviewed in Nov 2016.

Interview Questionnaire 

6 Questions

  • Q1. Explain Btech Project
  • Ans. 

    Developed a Btech project on automated attendance system using facial recognition.

    • Developed a software application to automate the attendance process in educational institutions.

    • Implemented facial recognition technology to identify and mark attendance of students.

    • Used machine learning algorithms to train the system for accurate recognition.

    • Integrated the application with a database to store attendance records.

    • Provided ...

  • Answered by AI
  • Q2. Code Pascal's Traingle
  • Ans. 

    Code Pascal's Triangle

    • Pascal's Triangle is a triangular array of binomial coefficients

    • Each number is the sum of the two numbers above it

    • The first and last numbers in each row are 1

    • Can be implemented using nested loops or recursion

  • Answered by AI
  • Q3. What is abstract function
  • Ans. 

    An abstract function is a function that has no implementation and must be implemented by its subclasses.

    • An abstract function is declared with the 'abstract' keyword.

    • It is used to define a template for its subclasses to follow.

    • It cannot be instantiated and must be implemented by its subclasses.

    • It can have abstract and non-abstract methods.

    • Example: abstract class Animal { abstract void makeSound(); }

    • Example: class Dog ex...

  • Answered by AI
  • Q4. Difference between abstract and normal function
  • Ans. 

    Abstract functions cannot be instantiated and must be implemented by child classes, while normal functions can be directly called.

    • Abstract functions have no implementation in the parent class, while normal functions do.

    • Abstract functions are declared with the 'abstract' keyword, while normal functions are not.

    • Normal functions can be called directly, while abstract functions must be implemented by child classes.

    • An examp...

  • Answered by AI
  • Q5. Your 2 weakness
  • Ans. 

    Perfectionism and public speaking anxiety

    • I tend to be a perfectionist, which can sometimes lead to spending too much time on a task

    • I struggle with public speaking anxiety, but I have been working on improving my communication skills through practice and training

  • Answered by AI
  • Q6. Why Capgemini
  • Ans. 

    Capgemini is a global leader in consulting, technology services, and digital transformation.

    • Capgemini has a strong reputation in the industry for delivering high-quality software solutions.

    • The company offers a wide range of opportunities for career growth and development.

    • Capgemini has a collaborative and inclusive work culture that fosters innovation and teamwork.

    • The company has a global presence, providing exposure to...

  • Answered by AI

Interview Preparation Tips

Round: Test
Experience: General Aptitude and English

Round: Technical Interview
Experience: 10 minutes approx. Questions were repetitive for candidates. i.e. for 13 candidates interviewed most of those were similar.

Round: HR Interview
Experience: Other normal stuff about family.
Tips: HR might try to get under your skin so prepare for general hr questions.

College Name: IIT Patna

Skills evaluated in this interview

I applied via Other and was interviewed in Nov 2017. There were 5 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. Brief Role on job and tools and technology I worked with day to day activity
  • Ans. 

    As a Senior Software Engineer, I worked with various tools and technologies to develop and maintain software applications.

    • Developed and maintained software applications using Java, Python, and C++ programming languages

    • Used Agile methodology for software development and collaborated with cross-functional teams

    • Worked with various tools such as Git, JIRA, Jenkins, and Docker for version control, issue tracking, continuous...

  • Answered by AI
  • Q2. In-depth technical interview which went around 40 min. since i had 8 years of experience
  • Q3. Fully technical
  • Q4. Salary discussion and Document verification.

Interview Preparation Tips

Round: Resume Shortlist
Experience: Keywords that I put in of the technology, tools , experience.. (I guess )

General Tips: Just stay calm. Do not show fake experience, Speak genuinely, Answer to the point and explain if you have to add on more depending on your experience. Do not be over confident. Speak start to the eyes
Skills: Communication, Problem Solving, Analytical Skills, Leadership, Presentation Skills, Decision Making Skills
Duration: 1-3 Months

Interview Preparation Tips

Round: Technical Interview
Experience: Has a 1 hr interview. He asked the Qs on my experience, what I have put in my resume. Its good conversation with interviewer.

Round: HR Interview
Experience: In HR interview he asked about my salary and what he is going to offer me. I left for the day. There is no response for 5 days from the HR. After a week I got the call my HR and discussion was happened about the salary again and said to upload some documents. I did it. There is no response for 4 days again. I got call again after 4 days and this time she said there is no suitable position for my experience so she is going to reject my application. Its very painful to listen like this.

I was interviewed in Aug 2017.

Interview Preparation Tips

Round: Group Discussion
Experience: every one put their views
Tips: just tell anything. no one listen
Duration: 5 minutes

Round: Test
Experience: online test
Tips: do those question which can be solved without usingpen paper first
Duration: 5 minutes
Total Questions: 50

Skills: Relieving Pressure

I applied via Recruitment Consultant and was interviewed before Mar 2017. There were 5 interview rounds.

Interview Preparation Tips

General Tips: A good company to work for. You will get lots of good things to learn professionally and a huge scope for career development.
Skills: Communication, Body Language, Problem Solving, Analytical Skills, Presentation Skills, Time Management, Decision Making Skills
Duration: <1 week

I was interviewed in Sep 2016.

Interview Questionnaire 

2 Questions

  • Q1. Behavioral questions, what will you choose knowledge or money?Why?, etc . Other curricular activities that showcase your managerial skills, etc
  • Q2. Focused on projects from resume and cross questioning. Can ask you about the tools or languages related questions if you have added that to CV. Followed by guesstimates where you will have to provide detai...

Interview Preparation Tips

Round: Technical + HR Interview
Tips: It is advantageous if you have prior experience with data handling tools eg advanced EXCEL , SPSS

I applied via Monster and was interviewed before Mar 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. How much salary you are expecting? Was my last question. .

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview was really easy going. Technical was informative round. By answering questions, interviewer also help me to reach out to the depth of the topic. Work culture is also good here.
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Kyndryl Interview FAQs

How many rounds are there in Kyndryl Senior Data Scientist interview?
Kyndryl interview process usually has 1 rounds. The most common rounds in the Kyndryl interview process are Technical.
How to prepare for Kyndryl Senior 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 Kyndryl. The most common topics and skills that interviewers at Kyndryl expect are Analytical, Coding, Computer science, Machine Learning and Monitoring.
What are the top questions asked in Kyndryl Senior Data Scientist interview?

Some of the top questions asked at the Kyndryl Senior Data Scientist interview -

  1. Print rows where a certain criterion is met (ex - in a dataset of employees sel...read more
  2. Extract only India Players from dictionary (using list comprehension) CSK = {"D...read more
  3. What are the types of regression models, name them and explain t...read more

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