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Dunnhumby Lead Applied Data Scientist Interview Questions and Answers

Updated 20 Nov 2024

Dunnhumby Lead Applied Data Scientist Interview Experiences

1 interview found

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

Easy with python questions

Round 2 - One-on-one 

(1 Question)

  • Q1. Statistics and project understanding

Interview questions from similar companies

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

I applied via Naukri.com and was interviewed before May 2023. There was 1 interview round.

Round 1 - Technical 

(3 Questions)

  • Q1. Describe one of your projects?
  • Q2. Where have you implemented the customer analytics?
  • Ans. 

    I have implemented customer analytics in various industries including e-commerce and retail.

    • Implemented customer segmentation analysis to identify different customer groups based on behavior and preferences

    • Utilized predictive modeling techniques to forecast customer lifetime value and likelihood of churn

    • Developed recommendation systems to personalize product offerings and improve customer engagement

    • Used A/B testing to ...

  • Answered by AI
  • Q3. Which cloud services have you used for deploying the solutions?
  • Ans. 

    I have experience deploying solutions on AWS, Azure, and Google Cloud Platform.

    • AWS (Amazon Web Services)

    • Azure

    • Google Cloud Platform

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared with your projects and its highlights

Skills evaluated in this interview

I applied via Referral and was interviewed before Feb 2021. There were 3 interview rounds.

Round 1 - Coding Test 

Sql and basis python

Round 2 - Case Study 

Business related case study

Round 3 - One-on-one 

(1 Question)

  • Q1. Previous Project discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Be good with sql and your project experience
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

The coding round was relatively easy. A sufficient amount of preparation on LeetCode should be beneficial, along with reviewing the sample questions.

Round 2 - Technical 

(2 Questions)

  • Q1. All theoretical questions about Linear Regression
  • Q2. Past projects
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Coding Test 

2 sections. First, multiple choice questions regarding Ml algo, SQl. Second, ML coding problem.

Round 2 - Technical 

(1 Question)

  • Q1. Details about dimensionality reductions, the difference between bagging and boosting techniques, details about XgBoost, and metrics to choose for the given Ml classification problem.
Round 3 - HR 

(1 Question)

  • Q1. Interview with HR manager, behavioural questions.
Round 4 - One-on-one 

(1 Question)

  • Q1. Interview with business leadership.

Interview Preparation Tips

Topics to prepare for Fractal Analytics Senior Data Scientist interview:
  • ML
  • regression, regularization
  • PCA
  • Boosting algorithms
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Initially asked to introduce myself and my work experience.
  • Q2. Based on my work experience, the panel asked further questions around my projects, going deeper into the basics of machine learning algorithms that I used for regression models and time series forecasting ...
Round 2 - One-on-one 

(1 Question)

  • Q1. The second round was more of like techno-managerial round where the panel asked me how I did my latest project, what were the obstacles faced, how did I overcome them, etc.
Round 3 - HR 

(1 Question)

  • Q1. The final round was with the HR where the salary negotiation part happened.

Interview Preparation Tips

Interview preparation tips for other job seekers - If you know the basics of machine learning and data science algorithms, this should be an easy - medium interview for you. You should expect cross questions against your CV and past projects.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Feb 2023. There were 4 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 

Basic coding questions related to data science

Round 3 - One-on-one 

(1 Question)

  • Q1. How to handle imbalanced data in text analytics?
  • Ans. 

    Imbalanced data in text analytics can be handled by techniques like oversampling, undersampling, and SMOTE.

    • Use oversampling to increase the number of instances in the minority class

    • Use undersampling to decrease the number of instances in the majority class

    • Use SMOTE to generate synthetic samples for the minority class

    • Use cost-sensitive learning algorithms to assign higher misclassification costs to the minority class

    • Use...

  • Answered by AI
Round 4 - One-on-one 

(1 Question)

  • Q1. Business case study related to Data science

Interview Preparation Tips

Topics to prepare for Tiger Analytics Senior Data Scientist interview:
  • NLP
Interview preparation tips for other job seekers - Since coding is also related to data science would say be confident in all DS-related concepts. Also don't miss out on any concepts in your resume.
Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Coding Test 

The test consisted 1 programming question, 2 SQL questions, 2 Python questions, and 10 ML questions. The difficulty level was from easy to medium range. However, the platform was very slow and it was a timed test. They should either conduct the test in a friendly platform or increase the time allotted for each section.

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before 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. Difference between Ridge and Lasso regression
  • Ans. 

    Ridge and Lasso regression are both regularization techniques used in linear regression to prevent overfitting.

    • Ridge regression adds a penalty equivalent to the square of the magnitude of coefficients, while Lasso regression adds a penalty equivalent to the absolute value of the magnitude of coefficients.

    • Ridge regression shrinks the coefficients towards zero but never exactly to zero, while Lasso regression can shrink ...

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

(1 Question)

  • Q1. Difference between boosting and bagging
  • Ans. 

    Boosting focuses on improving the performance of weak learners sequentially, while bagging uses parallel ensemble learning with bootstrapping.

    • Boosting combines multiple weak learners to create a strong learner by giving more weight to misclassified instances in each iteration.

    • Bagging creates multiple subsets of the training data through bootstrapping and trains each subset independently to reduce variance.

    • Examples: Ada...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Analytics( regression) and basic coding is what you need to prepare

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Aug 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Python Coding Questions with

Round 2 - Coding Test 

Bubble sort example Question using python

Round 3 - Case Study 

Previous projects based questions

Dunnhumby Interview FAQs

How many rounds are there in Dunnhumby Lead Applied Data Scientist interview?
Dunnhumby interview process usually has 2 rounds. The most common rounds in the Dunnhumby interview process are Aptitude Test and One-on-one Round.
How to prepare for Dunnhumby Lead Applied 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 Dunnhumby. The most common topics and skills that interviewers at Dunnhumby expect are Agile Coaching, Analytical Chemistry, Data Science, Machine Learning and Python.

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Dunnhumby Lead Applied Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more

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Dunnhumby Lead Applied Data Scientist Salary
based on 86 salaries
₹17 L/yr - ₹28.6 L/yr
At par with the average Lead Applied Data Scientist Salary in India
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Dunnhumby Lead Applied Data Scientist Reviews and Ratings

based on 7 reviews

3.4/5

Rating in categories

2.7

Skill development

4.1

Work-life balance

3.2

Salary

4.5

Job security

3.9

Company culture

2.2

Promotions

2.9

Work satisfaction

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