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Dun & Bradstreet Data Scientist Interview Questions and Answers

Updated 25 Mar 2025

Dun & Bradstreet Data Scientist Interview Experiences

2 interviews found

Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
6-8 weeks
Result
Selected Selected

I appeared for an interview before Mar 2024, where I was asked the following questions.

  • Q1. Round 1 coding round. Python questions and SQL. Python questions to be solved on dataframe. Question from join , pivot , array , functions. SQL question from join, window function scenario based. Questions...
  • Q2. Round 2 was on model building and model validation. You will be grilled deeply on questions like how you arrive in bad definition, cost function, woe transformation, binning, categorical features handling,...
  • Q3. Round 3 is with stakeholder. You will be probably working with him/ her closely. They will check your expertise in finance data science. You can be asked to give them detail synopsis of past finance data s...
  • Q4. Hr round behavioural questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thorough with your past projects. Should be well equipped in coding+ model building+ model validation+ cost function+ weights + log loss+ model interpretation+ psi+ CSI+ woe. Whatever domain they are hiring be well equipped with domain knowledge and data science of that domain. If interviewing for more than 4 yrs then you need to have good exposure

Interview Questionnaire 

1 Question

  • Q1. Was asked to explain one of my work projects in detail, Basic pandas syntax

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Interview questions from similar companies

Interview Questionnaire 

1 Question

  • Q1. What friends think of you?
  • Ans. 

    My friends think of me as reliable, supportive, and always up for a good time.

    • Reliable - always there when they need help or support

    • Supportive - willing to listen and offer advice

    • Fun-loving - enjoys socializing and trying new things

  • Answered by AI

Interview Preparation Tips

Round: Resume Shortlist
Experience: After Resume Shortlist we had an aptitute round.
Tips: Answer according to your own judgement. Dont try to be too precise.

Round: HR Interview
Experience: I said they think I am a workaholic as I prefer to complete my work before chilling with them.

College Name: NIT Durgapur

Interview Preparation Tips

Round: HR Interview
Experience: Interview at 11 pm. Stressed environment, close to stress interview.
SELECTION PROCEDURE:
1.Online Test
2. GD
3. PI(HR)
GD TOPICS :
Topic 1 : How can education system benefit from interdisciplinary methods.
Topic 2 : Interconnected problems in the field of movie making.
INTERVIEW EXPERIENCE:
So you can speak German? Describe MS Dhoni in german. They opened Google Translate to counter check the words they wanted to be translated in both Deutsch and Spanish. Your profile speaks of an inclination towards software skills, why do you want to join an analytics company? Justify your action in two reasons as to why are you sitting here interviewing for the post of a data scientist rather than apply for a software engineer when this CV speaks highly of computer science? What is Finite Element Method? Explain. How relevant is your work in Computer Vision? Breakdown the tagline of Audi and translate accordingly. What is "Technik für Mobel" ? What are your current projects? Answer : Microsoft Xbox Kinect, Gesture Recognition. Counter question : But at Musimga you'd be doing far simpler stuff.? Counter suggestion : Why don't you go for MS?


Tips: Keep your cool during counter questions. Prepare your profile and CV well. Rest all is your hard work and groomed personal talents and acquired skills you learnt over the internet.

Skills: Ability To Cope Up With Stress, Spanish, German, Finite Element Modeling - FEM, Foreign Language
College Name: NIT Raipur
Funny Moments: Another HR enters in the midst of my interview and asks with bewildered amazement : What language is he speaking?
The other HR, "German".

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Oct 2023. 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 - Coding Test 

2hrs - sections include aptitude, machine learning, deep learning and two easy python coding questions

Round 3 - One-on-one 

(4 Questions)

  • Q1. Resume scrutiny with projects and internships
  • Q2. How to measure 45 mins duration using two identical wires
  • Q3. Partition a round cake into eight equal parts within three cuts
  • Q4. 10 coins puzzle (5 heads up and 5 tails up)

Interview Preparation Tips

Interview preparation tips for other job seekers - Thorough revision on deep learning and be clear on your internships such as workflow, why did you opted a specific component (such as tool, algorithm...etc).They test you on the basis of your resume explanation, so be honest don't try to fake some
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

DSA and ML, AI, Coding question

Round 2 - One-on-one 

(1 Question)

  • Q1. Case study which was easy
Round 3 - One-on-one 

(1 Question)

  • Q1. In depth questions on ML
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Technical 

(2 Questions)

  • Q1. Explain any ML model.
  • Ans. 

    Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.

    • Random Forest is a popular machine learning model used for classification and regression tasks.

    • It works by creating multiple decision trees during training and outputs the mode of the classes for classification or the average prediction for regression.

    • Random Forest is ro...

  • Answered by AI
  • Q2. Create Dataframe from two lists.
  • Ans. 

    Creating a DataFrame from two lists in Python.

    • Import the pandas library

    • Create two lists of data

    • Use pd.DataFrame() to create a DataFrame from the two lists

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Nielsen Data Scientist interview:
  • Python
  • pandas
  • ML
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - Coding Test 

I was asked to write SQL queries for 3rd highest salary of the employee, some name filtering, group by tasks.
Python code to find the index of the maximum number without using numpy.

Round 2 - One-on-one 

(1 Question)

  • Q1. Explain the Project undertaken during the research and follow-up questions
Round 3 - Technical 

(1 Question)

  • Q1. Write pandas query to separate the names as first and last name from the full name. Drop the duplicate columns and also the missing values. Write output for the Python code. Write SQL query to retrieve t...
  • Ans. 

    Answering questions related to data science concepts and techniques.

    • Recall is the ratio of correctly predicted positive observations to the total actual positives. Precision is the ratio of correctly predicted positive observations to the total predicted positives.

    • To reduce variance in an ensemble model, techniques like bagging, boosting, and stacking can be used. Bagging involves training multiple models on different ...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Nielsen Data Scientist interview:
  • Python
  • Pandas
  • SQL
  • Machine Learning
Interview preparation tips for other job seekers - Have your basics strong.

Skills evaluated in this interview

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

I applied via LinkedIn and was interviewed before Mar 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. Questions related to python basics.
  • Q2. Basic calculus to test math skills.
  • Q3. Machine learning metrics.
Round 3 - HR 

(3 Questions)

  • Q1. Policies, behavioral round.
  • Q2. Work culture and the selection process.
  • Q3. Discussion about previous employers and educational background.

Interview Preparation Tips

Interview preparation tips for other job seekers - keep it simple and be confident. it's good to know the reasons behind your data science projects.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Oct 2023. There were 4 interview rounds.

Round 1 - Coding Test 

Sql, python, Statistics mcq, Aptitude test. These were medium level questions.

Round 2 - Technical 

(3 Questions)

  • Q1. SQL and python, time complexity
  • Q2. Make 2 lists a=[1,2,3,4] b=[9,8,5,5,2,3,3,4,1,1,10,9,2,3,4,10,10,9,7,7,8] Write a program to remove duplicate of b and keep only those elements of b which are not present in a, and the final list should ...
  • Ans. 

    Remove duplicates from list b, keep elements not in list a, and sort in ascending order.

    • Create a set from list b to remove duplicates

    • Use list comprehension to keep elements not in list a

    • Sort the final list in ascending order

  • Answered by AI
  • Q3. SQL question Remove duplicate from a table tab1
  • Ans. 

    Use the DISTINCT keyword in SQL to remove duplicates from a table.

    • Use the SELECT DISTINCT statement to retrieve unique rows from the table.

    • Identify the columns that should be used to determine uniqueness.

    • Example: SELECT DISTINCT column1, column2 FROM tab1;

  • Answered by AI
Round 3 - Case Study 

Given 2 case studies on data science and asked different possibilities to improve the models.

How to work with imbalance dataset.
How to remove null values, what is features engineering.
What is PCA
What is the working of XGBOOST

Round 4 - Project discussion 

(1 Question)

  • Q1. What was last project, tell me in detail. There were different technical questions related to my project

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and practice SQL, python, mainly pandas and numpy. Should have good knowledge on time complexity.


All the metrics of evaluating a model.
Linear regression, logestic regression, random forest, decission tree, adaboost, Gradient boosting, XGb in detail.

Recall, precision roc_curve. Auc, f1 score, mse,mae, r2, adjusted r2 score.

Is it possible that r2 score appears in minus

Skills evaluated in this interview

Dun & Bradstreet Interview FAQs

How to prepare for Dun & Bradstreet 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 Dun & Bradstreet. The most common topics and skills that interviewers at Dun & Bradstreet expect are Machine Learning, Python, Data Science, SQL and Predictive Modeling.
What are the top questions asked in Dun & Bradstreet Data Scientist interview?

Some of the top questions asked at the Dun & Bradstreet Data Scientist interview -

  1. Round 2 was on model building and model validation. You will be grilled deeply ...read more
  2. Round 3 is with stakeholder. You will be probably working with him/ her closely...read more
  3. Round 1 coding round. Python questions and SQL. Python questions to be solved o...read more

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Dun & Bradstreet Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more
Dun & Bradstreet Data Scientist Salary
based on 24 salaries
₹6 L/yr - ₹23.3 L/yr
11% less than the average Data Scientist Salary in India
View more details

Dun & Bradstreet Data Scientist Reviews and Ratings

based on 3 reviews

3.5/5

Rating in categories

3.5

Skill development

3.4

Work-life balance

3.4

Salary

4.6

Job security

3.5

Company culture

3.5

Promotions

3.5

Work satisfaction

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