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Barclays Data Scientist Interview Questions and Answers

Updated 26 Oct 2024

Barclays Data Scientist Interview Experiences

1 interview found

Data Scientist Interview Questions & Answers

user image Anukriti Jain

posted on 26 Oct 2024

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
-
Result
No response
Round 1 - Coding Test 

Find second max in list, cal moving avg of a df

Interview questions from similar companies

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

(2 Questions)

  • Q1. Logistic regression loss function
  • Q2. Step function in ML context
  • Ans. 

    Step function is a function that returns a constant value for a certain range of inputs.

    • In machine learning, step functions are used as activation functions in neural networks.

    • They are typically used in binary classification problems where the output is either 0 or 1.

    • Examples include Heaviside step function and sigmoid step function.

  • Answered by AI

Skills evaluated in this interview

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

I applied via Campus Placement and was interviewed in Dec 2022. 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 - Aptitude Test 

Hard level aptitude questions... Time taking sums

Round 3 - Technical 

(2 Questions)

  • Q1. Puzzles and probability questions
  • Q2. Asking completely about data science projects in your resume
Round 4 - HR 

(2 Questions)

  • Q1. Just asked some puzzle questions
  • Q2. Asked if iam willing to relocate and about my family

Interview Preparation Tips

Topics to prepare for IDFC FIRST Bank Data Scientist interview:
  • Data Science
Interview preparation tips for other job seekers - Be strong on your resume and probability questions also with puzzles
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Job Portal and was interviewed in Aug 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Aptitude test for about an hour.

Round 2 - One-on-one 

(2 Questions)

  • Q1. Questions related to data science were asked based on your resume. Puzzles were asked too. Mostly they were from gfg.
  • Q2. What are parameters used in a random forest.
  • Ans. 

    Parameters used in a random forest include number of trees, maximum depth of trees, minimum samples split, and maximum features.

    • Number of trees: The number of decision trees to be used in the random forest.

    • Maximum depth of trees: The maximum depth allowed for each decision tree.

    • Minimum samples split: The minimum number of samples required to split a node.

    • Maximum features: The maximum number of features to consider when

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be

Skills evaluated in this interview

I applied via Job Portal and was interviewed in Dec 2021. There were 2 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. Metrics and related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Quite easy if you know ml basics
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

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

Round 1 - Aptitude Test 

Test was conducted on datacamp assessments. Overall, there were three tests.
1. Stats test
2. ML test
3. Python/coding test

Round 2 - One-on-one 

(1 Question)

  • Q1. Questions on ML techniques and practices, how to handle large data in python, lots of logical questions and handling overfitting, underfitting, etc in model building.

Interview Preparation Tips

Topics to prepare for HDFC Bank Data Scientist interview:
  • machine learning
  • python
Interview preparation tips for other job seekers - Learn about ML topics and commonly faced problems.
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. What do you do if your model has higher false positives
  • Ans. 

    Investigate the model performance metrics and adjust the threshold for classification.

    • Analyze the confusion matrix to understand the distribution of false positives.

    • Adjust the threshold for classification to reduce false positives.

    • Consider using different evaluation metrics like precision, recall, and F1 score.

    • Explore feature importance to identify variables contributing to false positives.

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

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

Round 1 - One-on-one 

(3 Questions)

  • Q1. Machine learning algorithms.
  • Ans. 

    Machine learning algorithms are tools used to analyze data, identify patterns, and make predictions without being explicitly programmed.

    • Machine learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.

    • Examples of machine learning algorithms include linear regression, decision trees, support vector machines, and neural networks.

    • These algorithms require training data to learn patte...

  • Answered by AI
  • Q2. Credit risk life cycle
  • Q3. Pandas related questions
Round 2 - One-on-one 

(3 Questions)

  • Q1. Steps of developing a credit risk model
  • Ans. 

    Developing a credit risk model involves several steps to assess the likelihood of a borrower defaulting on a loan.

    • 1. Define the problem and objectives of the credit risk model.

    • 2. Gather relevant data such as credit history, income, debt-to-income ratio, etc.

    • 3. Preprocess the data by handling missing values, encoding categorical variables, and scaling features.

    • 4. Select a suitable machine learning algorithm such as logi...

  • Answered by AI
  • Q2. Pandas related questions
  • Q3. Bagging and Boosting
Round 3 - One-on-one 

(3 Questions)

  • Q1. Explain AIC and BIC
  • Ans. 

    AIC and BIC are statistical measures used for model selection in the context of regression analysis.

    • AIC (Akaike Information Criterion) is used to compare the goodness of fit of different models. It penalizes the model for the number of parameters used.

    • BIC (Bayesian Information Criterion) is similar to AIC but penalizes more heavily for the number of parameters, making it more suitable for model selection when the focus...

  • Answered by AI
  • Q2. Difference between xgboost and lightgbm
  • Ans. 

    XGBoost is a popular gradient boosting library while LightGBM is a faster and more memory-efficient alternative.

    • XGBoost is known for its accuracy and performance on structured/tabular data.

    • LightGBM is faster and more memory-efficient, making it suitable for large datasets.

    • LightGBM uses a histogram-based algorithm for splitting whereas XGBoost uses a level-wise tree growth strategy.

  • Answered by AI
  • Q3. Bagging and boosting

Skills evaluated in this interview

I applied via Campus Placement and was interviewed in Jan 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 - Coding Test 

Coding related objective questions

Round 3 - Technical 

(1 Question)

  • Q1. Basic questions based on cv. Questions based on python,SQL,ML algorithms

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare topics which are mentioned in cv basic knowledge in how bank's work and all that stuff
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Experience 

(2 Questions)

  • Q1. Explain previous projects
  • Q2. Explain 2 algo of your choice

Interview Preparation Tips

Interview preparation tips for other job seekers - No tips just present yourself

Barclays Interview FAQs

How many rounds are there in Barclays Data Scientist interview?
Barclays interview process usually has 1 rounds. The most common rounds in the Barclays interview process are Coding Test.

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Barclays Data Scientist Interview Process

based on 1 interview

Interview experience

3
  
Average
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Barclays Data Scientist Salary
based on 46 salaries
₹11.2 L/yr - ₹30 L/yr
37% more than the average Data Scientist Salary in India
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Barclays Data Scientist Reviews and Ratings

based on 4 reviews

3.2/5

Rating in categories

3.3

Skill development

4.0

Work-life balance

3.7

Salary

4.1

Job security

4.4

Company culture

2.2

Promotions

2.7

Work satisfaction

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