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Tesco Data Scientist Interview Questions and Answers

Updated 6 Aug 2024

Tesco Data Scientist Interview Experiences

3 interviews found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Coding Test 

Python and sql based questions

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

I applied via Referral and was interviewed before Aug 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 

(1 Question)

  • Q1. Heavy SQL solutions
Round 3 - Case Study 

Retail case study, with soft skills is required for this round

Interview Preparation Tips

Interview preparation tips for other job seekers - Make sure you're good in SQL. It will heavily revolve around SQL solving.

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I applied via Naukri.com and was interviewed in Nov 2021. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Round one was a combination of a technical round and a discussion on previous work experience. Questions - Previous work experience, Basic SQL questions, Basic Python questions, Basic Tableau question...
Round 2 - One-on-one 

(1 Question)

  • Q1. This was a culture fit round. This was a one on one discussion with the manager. Offer letter was rolled out after this round.

Interview Preparation Tips

Interview preparation tips for other job seekers - Cover your basics in SQL, Python, Tableau and ML.

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Intermediate level SQL questions using joins and case when
  • Q2. String manipulation advanced level question in python

Data Scientist Interview Questions & Answers

Target user image Aishwarya Shukla

posted on 8 Jun 2024

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Past experience
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Jan 2024. There were 4 interview rounds.

Round 1 - Case Study 

Case Study was related to customer propensity to buy.

Round 2 - Technical 

(2 Questions)

  • Q1. Linear Regression Assumptions
  • Ans. 

    Linear regression assumptions include linearity, independence, homoscedasticity, and normality.

    • Assumption of linearity: The relationship between the independent and dependent variables is linear.

    • Assumption of independence: The residuals are independent of each other.

    • Assumption of homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

    • Assumption of normality: The resid...

  • Answered by AI
  • Q2. ML Algorithms and Evaluation Metrics.
Round 3 - One-on-one 

(1 Question)

  • Q1. What is VIF(variance inflation factor)
  • Ans. 

    VIF is a measure of multicollinearity in regression analysis, indicating how much the variance of an estimated regression coefficient is increased due to collinearity.

    • VIF values greater than 10 indicate high multicollinearity

    • VIF is calculated for each predictor variable in a regression model

    • VIF is calculated as 1 / (1 - R^2) where R^2 is the coefficient of determination from regressing a predictor on all other predicto

  • Answered by AI
Round 4 - HR 

(1 Question)

  • Q1. Why do you want to join?
  • Ans. 

    I am impressed by your company's innovative projects and collaborative work culture.

    • I admire the company's commitment to cutting-edge technology and data-driven solutions.

    • I am excited about the opportunity to work with a talented team of data scientists and researchers.

    • Your company's reputation for fostering a collaborative and inclusive work environment is appealing to me.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Intermediate knowledge of ML algos and evaluation metrics is must. Python and SQL hand-on is required.
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Array-based question

Round 2 - Technical 

(2 Questions)

  • Q1. Explain Xgboots
  • Ans. 

    XGBoost is a popular machine learning algorithm known for its speed and performance in handling large datasets.

    • XGBoost stands for eXtreme Gradient Boosting.

    • It is an implementation of gradient boosted decision trees designed for speed and performance.

    • XGBoost is widely used in machine learning competitions and real-world applications.

    • It can handle missing data, regularization, and parallel processing efficiently.

    • XGBoost ...

  • Answered by AI
  • Q2. Explain random forest
  • Ans. 

    Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.

    • Random forest is a type of ensemble learning method.

    • It builds multiple decision trees during training.

    • Each tree in the forest makes a prediction, and the final prediction is the average or majority vote of all trees.

    • Random forest is used for classification and regression tasks.

    • It helps reduce overfitting and ...

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. Explain about your project
  • Q2. Explain the sequence to sequence models and transformers
  • Ans. 

    Sequence to sequence models are used in natural language processing to convert input sequences into output sequences.

    • Sequence to sequence models are commonly used in machine translation tasks, where the input is a sentence in one language and the output is the translated sentence in another language.

    • Transformers are a type of sequence to sequence model that use self-attention mechanisms to weigh the importance of diffe...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

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

Round 1 - Technical 

(2 Questions)

  • Q1. Bias and variance with respect to model
  • Ans. 

    Bias and variance are two types of errors that can occur in a model.

    • Bias refers to the error introduced by approximating a real-world problem, leading to underfitting.

    • Variance refers to the error introduced by modeling the noise in the training data, leading to overfitting.

    • Balancing bias and variance is crucial for creating a model that generalizes well to unseen data.

  • Answered by AI
  • Q2. Hypotheses test

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed in Feb 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 - HR 

(4 Questions)

  • Q1. Data explain about yourself
  • Ans. 

    I am a highly motivated and detail-oriented individual with a strong background in data analysis and problem-solving.

    • Proficient in data manipulation and analysis using tools like Excel, SQL, and Python.

    • Experienced in conducting statistical analysis and creating data visualizations.

    • Strong problem-solving skills with the ability to identify patterns and trends in data.

    • Excellent communication skills, both written and verb...

  • Answered by AI
  • Q2. Explain About yourself
  • Ans. 

    I am a highly motivated and detail-oriented individual with a strong background in finance and accounting.

    • Bachelor's degree in Finance

    • 3 years of experience in financial analysis

    • Proficient in financial modeling and forecasting

    • Strong analytical and problem-solving skills

    • Excellent communication and interpersonal skills

  • Answered by AI
  • Q3. Explain knowledge and skills
  • Ans. 

    Knowledge and skills refer to the understanding and abilities that an individual possesses.

    • Knowledge is the theoretical understanding of a subject or topic.

    • Skills are the practical abilities to perform tasks or apply knowledge.

    • Knowledge can be acquired through education, training, or experience.

    • Skills are developed through practice and hands-on experience.

    • Examples of knowledge include understanding of programming langu...

  • Answered by AI
  • Q4. Explain about qualification
  • Ans. 

    Qualification refers to the education, skills, and experience required for a particular job or role.

    • Qualification includes academic degrees, certifications, and relevant work experience.

    • It demonstrates the candidate's knowledge, expertise, and ability to perform the job.

    • Examples of qualifications can be a Bachelor's degree in Computer Science, a certification in project management, or 5 years of experience in marketing...

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Knowledge about vacancy requirements

Interview Preparation Tips

Interview preparation tips for other job seekers - Come in formal dress and proper grooming and not nervous

Interview Questionnaire 

1 Question

  • Q1. Describe about bangalore
  • Ans. 

    Bangalore is a bustling city in southern India known for its IT industry and pleasant climate.

    • Known as the Silicon Valley of India

    • Home to numerous IT companies such as Infosys, Wipro, and TCS

    • Famous for its gardens and parks, including Lalbagh and Cubbon Park

    • Has a rich cultural heritage, with landmarks such as the Bangalore Palace and Tipu Sultan's Summer Palace

    • Renowned for its food, with local specialties such as masal

  • Answered by AI

Tesco Interview FAQs

How many rounds are there in Tesco Data Scientist interview?
Tesco interview process usually has 2 rounds. The most common rounds in the Tesco interview process are Technical, One-on-one Round and Resume Shortlist.
How to prepare for Tesco 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 Tesco. The most common topics and skills that interviewers at Tesco expect are Python, Machine Learning, Recruitment, Analytical and Analytics.
What are the top questions asked in Tesco Data Scientist interview?

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

  1. This was a culture fit round. This was a one on one discussion with the manager...read more
  2. Heavy SQL soluti...read more

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Tesco Data Scientist Interview Process

based on 2 interviews

Interview experience

4.5
  
Good
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based on 36 salaries
₹5.5 L/yr - ₹19.7 L/yr
6% less than the average Data Scientist Salary in India
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4.2

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