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Standard Chartered Data Scientist Interview Questions and Answers

Updated 12 Jun 2024

Standard Chartered Data Scientist Interview Experiences

1 interview found

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

(1 Question)

  • Q1. Explain about how recommendation engine work
  • Ans. 

    Recommendation engines analyze user data to suggest items based on preferences and behavior.

    • Recommendation engines use collaborative filtering to suggest items based on user behavior and preferences.

    • They can also use content-based filtering to recommend items similar to ones the user has liked in the past.

    • Some recommendation engines combine both collaborative and content-based filtering for more accurate suggestions.

    • Ex...

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

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

I applied via Recruitment Consulltant and was interviewed before Mar 2023. There was 1 interview round.

Round 1 - One-on-one 

(1 Question)

  • Q1. General profile discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare your profile
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I applied via Campus Placement and was interviewed before Feb 2023. There were 4 interview rounds.

Round 1 - Aptitude Test 

Difficult yet went well

Round 2 - Group Discussion 

Went well. Prepare GD well as it's a major screening

Round 3 - Technical 

(1 Question)

  • Q1. Attended in 2018. Forgot the questions but asked many case studies
Round 4 - HR 

(1 Question)

  • Q1. The general HR ques your intro, short term long term goals, regarding relocation etc

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well. Be calm and understand ques and then answer
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
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
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
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Dec 2023. There were 2 interview rounds.

Round 1 - Coding Test 

The first technical round will cover how computer vision works, including the advantages and disadvantages of regression and random forest. It will also include discussions on when to use precision and recall, methods to reduce false positives, and criteria for selecting different models. Additionally, disadvantages of PCA will be addressed, along with project-related questions. The second round will focus on standard aptitude tests, while the third round will involve a casual conversation with the Executive Vice President.

Round 2 - Aptitude Test 

Normal aptitude questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on machine learning concepts, develop strong knowledge in Python programming, and learn about PCA, clustering, cross-validation, and hyperparameter tuning.

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 Resume 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

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 Resume 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
Easy
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - Coding Test 

If else conditions, data merging, datetime conversions, EDA on a sample data set, duplicates removal and missing value imputation

Round 2 - One-on-one 

(1 Question)

  • Q1. If you have to sell a kids account, how will you Target the customer. What features will you build?
  • Ans. 

    To target customers for a kids account, focus on features like parental controls, educational content, and interactive games.

    • Implement parental controls to assure parents of child safety online.

    • Include educational content to attract parents looking for learning opportunities.

    • Incorporate interactive games to engage children and make the account more appealing.

    • Offer rewards or incentives for completing educational activi...

  • Answered by AI
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Standard Chartered Interview FAQs

How many rounds are there in Standard Chartered Data Scientist interview?
Standard Chartered interview process usually has 1 rounds. The most common rounds in the Standard Chartered interview process are Technical.
How to prepare for Standard Chartered 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 Standard Chartered. The most common topics and skills that interviewers at Standard Chartered expect are Machine Learning, Analytical, Analytics, Business Solutions and C++.

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Standard Chartered Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more
Standard Chartered Data Scientist Salary
based on 56 salaries
₹8.6 L/yr - ₹33.7 L/yr
32% more than the average Data Scientist Salary in India
View more details

Standard Chartered Data Scientist Reviews and Ratings

based on 5 reviews

3.3/5

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4.1

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4.8

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4.5

Salary

4.6

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4.5

Company culture

3.7

Promotions

4.5

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