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HSBC Group Data Scientist Interview Questions and Answers

Updated 15 Dec 2024

HSBC Group Data Scientist Interview Experiences

6 interviews found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(4 Questions)

  • Q1. Types of Chunking in data preparation in RAG
  • Q2. How Embedding works in Vector Databases
  • Q3. Explain ARIMA model
  • Q4. How can we decide to choose Linear Regression for a business problem
Round 2 - Technical 

(4 Questions)

  • Q1. What is token and it's limit for Open Source LLMs
  • Q2. Difference of a Regression and Time Series problem
  • Q3. Advantage of LSTM over RNN
  • Q4. Performance Metrics for Logistic Regression
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Asked about ml algos

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Data Scientist Interview Questions & Answers

user image DEVANG RATHOD

posted on 25 Aug 2024

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

(1 Question)

  • Q1. Central Limit Theorem
  • Ans. 

    Central Limit Theorem states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.

    • The Central Limit Theorem is essential in statistics as it allows us to make inferences about a population based on a sample.

    • It states that regardless of the shape of the population distribution, the sampling distribution of the sample mean will be approximately normally distribut...

  • Answered by AI
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Self Intro and projects discussion
  • Q2. Feature selection methods
  • Ans. 

    Feature selection methods help in selecting the most relevant features for building predictive models.

    • Feature selection methods aim to reduce the number of input variables to only those that are most relevant.

    • Common methods include filter methods, wrapper methods, and embedded methods.

    • Examples include Recursive Feature Elimination (RFE), Principal Component Analysis (PCA), and Lasso regression.

  • Answered by AI

Skills evaluated in this interview

HSBC Group interview questions for designations

 Decision Scientist

 (1)

 Senior Data Analyst

 (2)

 Data Analyst Intern

 (1)

 Manager - Business Intelligence

 (1)

 Data Analyst

 (7)

 Data Engineer

 (6)

 Data Manager

 (1)

 Senior Data Engineer

 (1)

I applied via Approached by Company and was interviewed before Sep 2021. 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 - Technical 

(1 Question)

  • Q1. Projects and Data Science concepts
Round 3 - Technical 

(1 Question)

  • Q1. Python and coding skills

Interview Preparation Tips

Interview preparation tips for other job seekers - Be through with concepts - ML, stats, NLP

I applied via Recruitment Consulltant and was interviewed before Aug 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Difference between CNN and MLP
  • Ans. 

    CNN is used for image recognition while MLP is used for general classification tasks.

    • CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.

    • CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.

    • CNN has fewer parameters than MLP due to weight sharing in convolutional layers.

    • CNN can handle input of varying

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Brush up basic statistics . Also prepare atleast 2 , 3 ML algorithms for the interview.

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
-
Result
Not Selected

I applied via Campus Placement and was interviewed in Aug 2023. There was 1 interview round.

Round 1 - Aptitude Test 

Apptitude + two easy level coding questions , behavioural questions,

Interview Preparation Tips

Interview preparation tips for other job seekers - round 1 : two coding questions of easy level + apptitude (english comprehensive, logical reasoning) + behavioural questions
round 2 : HR + technical combined ( asked your past experience with data handelling and tools used , asked some puzzles and gestimates)

GFG for puzzles, apptitude, english, logical resoning

I applied via LinkedIn and was interviewed in Oct 2021. There were 5 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Questions based on various machine learning evaluation metrics.

Interview Preparation Tips

Interview preparation tips for other job seekers - Understand the impact of COVID on the banking industry.
Read about various banking case studies.
Elaborate over your interest in banking domain if you have no prior experience in the same.

I applied via LinkedIn and was interviewed in Oct 2021. There were 5 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Various machine learning evaluation metrics
  • Ans. 

    Machine learning evaluation metrics are used to measure the performance of a model.

    • Accuracy

    • Precision

    • Recall

    • F1 Score

    • ROC Curve

    • AUC

    • Confusion Matrix

    • Mean Squared Error

    • Root Mean Squared Error

    • R-squared

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Understand the impact of COVID on the banking industry.
Read more about the banking domain case studies.
Elaborate over your interest in banking domain if you don't have prior experience in this domain.

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
Selected Selected

I was interviewed in Mar 2023.

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 - One-on-one 

(2 Questions)

  • Q1. Python basic concepts
  • Q2. ML algorithm rule, scoring models, library details, statistics questions

Interview Preparation Tips

Interview preparation tips for other job seekers - I strictly won't recommend this company as their HR team is highly unprofessional- they'll discuss the compensation and agree on an amount, and make you wait for a month before rolling out an offer and then suddenly drop your candidature as they can't provide the discussed compensation even if it is according to industry standards.

Absolute waste of time and energy with this Company
Save yourself and find better places to work
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HSBC Group Interview FAQs

How many rounds are there in HSBC Group Data Scientist interview?
HSBC Group interview process usually has 1-2 rounds. The most common rounds in the HSBC Group interview process are Technical, Resume Shortlist and Aptitude Test.
What are the top questions asked in HSBC Group Data Scientist interview?

Some of the top questions asked at the HSBC Group Data Scientist interview -

  1. Difference between CNN and ...read more
  2. Feature selection meth...read more
  3. Central Limit Theo...read more

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HSBC Group Data Scientist Interview Process

based on 4 interviews

1 Interview rounds

  • Technical Round
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HSBC Group Data Scientist Salary
based on 79 salaries
₹9.9 L/yr - ₹36 L/yr
46% more than the average Data Scientist Salary in India
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HSBC Group Data Scientist Reviews and Ratings

based on 11 reviews

3.8/5

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3.7

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4.2

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3.6

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Job security

3.9

Company culture

3.4

Promotions

3.8

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