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Dunnhumby Data Scientist Interview Questions and Answers

Updated 3 May 2024

Dunnhumby Data Scientist Interview Experiences

1 interview found

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

I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Sql, Python programming Questions
Round 2 - Technical 

(1 Question)

  • Q1. Retail, CPG based case study questions like offer allocation method for loyal customers

Interview questions from similar companies

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.
  • Q2. Create Dataframe from two lists.

Interview Preparation Tips

Topics to prepare for Nielsen Data Scientist interview:
  • Python
  • pandas
  • ML
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-

I applied via campus placement at National Institute of Technology (NIT), Warangal

Round 1 - Aptitude Test 

1 hour aptitude test

Round 2 - One-on-one 

(1 Question)

  • Q1. What is one hot encoding
Round 3 - HR 

(1 Question)

  • Q1. What is your long term goal
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via campus placement at Sastra University and was interviewed in Sep 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Along with coding round..there's a communication test at the end

Round 2 - Technical 

(2 Questions)

  • Q1. There's ntg to ask about technical for me..
  • Q2. Behavioural questions
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain the RAG pipeline?
  • Ans. 

    RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.

    • RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria

    • Red category typically represents data that needs immediate attention or action

    • Amber category represents data that requires monitoring or further investigation

    • Green category represents data that...

  • Answered by AI
  • Q2. Explain Confusion metrics
  • Ans. 

    Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.

    • Confusion matrix is a table that describes the performance of a classification model.

    • It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.

    • These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...

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

I applied via campus placement at National Institute of Technology (NIT), Rourkela and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Simple Aptitude questions, Data interpretation and verbal

Round 2 - One-on-one 

(3 Questions)

  • Q1. Basic questions on Data Analytics, Projects mentioned
  • Q2. Code in SQL and python(moderate)
  • Ans. 

    The candidate is asked to code in SQL and Python at a moderate level.

    • Use SQL to query data from databases

    • Use Python to manipulate and analyze data

    • Practice writing SQL queries and Python scripts

  • Answered by AI
  • Q3. Machine Learning
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. Scenario based questions
  • Q2. Video synthesis
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

Dunnhumby Interview FAQs

How many rounds are there in Dunnhumby Data Scientist interview?
Dunnhumby interview process usually has 2 rounds. The most common rounds in the Dunnhumby interview process are Technical.
What are the top questions asked in Dunnhumby Data Scientist interview?

Some of the top questions asked at the Dunnhumby Data Scientist interview -

  1. Retail, CPG based case study questions like offer allocation method for loyal c...read more
  2. Sql, Python programming Questi...read more

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Dunnhumby Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more
Dunnhumby Data Scientist Salary
based on 38 salaries
₹9.2 L/yr - ₹19 L/yr
10% less than the average Data Scientist Salary in India
View more details

Dunnhumby Data Scientist Reviews and Ratings

based on 10 reviews

3.3/5

Rating in categories

3.1

Skill development

4.7

Work-life balance

2.9

Salary

4.5

Job security

4.3

Company culture

3.4

Promotions

3.2

Work satisfaction

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