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HSBC Bank Data Scientist Interview Questions and Answers

Updated 10 Mar 2024

HSBC Bank Data Scientist Interview Experiences

2 interviews found

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 at Jadavpur University 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

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Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Hard
Process Duration
2-4 weeks
Result
No response

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

Round 1 - Technical 

(3 Questions)

  • Q1. Explain Sigmoid Function
  • Ans. 

    Sigmoid function is a mathematical function that maps any real value to a value between 0 and 1.

    • Sigmoid function is commonly used in machine learning for binary classification problems.

    • It is defined as f(x) = 1 / (1 + e^(-x)), where e is the base of the natural logarithm.

    • The output of the sigmoid function is always in the range (0, 1).

    • It is used to convert a continuous input into a probability value.

    • Example: f(0) = 0.5

  • Answered by AI
  • Q2. What is a T-test in logistic regression
  • Ans. 

    A T-test in logistic regression is used to determine the significance of individual predictor variables.

    • T-test in logistic regression is used to test the significance of individual coefficients of predictor variables.

    • It helps in determining whether a particular predictor variable has a significant impact on the outcome variable.

    • The null hypothesis in a T-test for logistic regression is that the coefficient of the predi...

  • Answered by AI
  • Q3. How to fit model to an unexplored market
  • Ans. 

    To fit a model to an unexplored market, conduct thorough market research, gather relevant data, identify key variables, test different models, and continuously iterate and refine the model.

    • Conduct thorough market research to understand the dynamics of the unexplored market

    • Gather relevant data on customer behavior, market trends, competition, etc.

    • Identify key variables that may impact the market and model outcomes

    • Test d...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for IDFC FIRST Bank Data Scientist interview:
  • Logistic Regression
  • Banking

Skills evaluated in this interview

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 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
-
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 experience
4
Good
Difficulty level
-
Process Duration
-
Result
-

I was interviewed in Jan 2024.

Round 1 - Technical 

(1 Question)

  • Q1. Machine learning questions
Round 2 - Assignment 

Project Discussion on Eye flue detection

Interview Preparation Tips

Interview preparation tips for other job seekers - Clear basic concepts of ml ops
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Focus was on SQL, projects done so far, Machine Learning and Stats
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
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

HSBC Bank Interview FAQs

How many rounds are there in HSBC Bank Data Scientist interview?
HSBC Bank interview process usually has 2-3 rounds. The most common rounds in the HSBC Bank interview process are Aptitude Test, Group Discussion and Technical.

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HSBC Bank Data Scientist Interview Process

based on 2 interviews

Interview experience

4
  
Good
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