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QBE Data Scientist Interview Questions and Answers

Updated 8 Nov 2024

QBE Data Scientist Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
Selected Selected
Round 1 - One-on-one 

(1 Question)

  • Q1. How do you approach building a ML model
  • Ans. 

    I approach building a ML model by understanding the problem, collecting data, preprocessing data, selecting a model, training the model, evaluating the model, and deploying it.

    • Understand the problem and define the objective

    • Collect and preprocess data

    • Select an appropriate model based on the problem

    • Train the model using the data

    • Evaluate the model's performance using metrics like accuracy, precision, recall, etc.

    • Deploy th...

  • Answered by AI

Skills evaluated in this interview

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Interview Tips & Stories
2w
timepasstiwari
·
A Digital Markter
ChatGPT prepped me HARD for my interview!
Spent like two hours on chatgpt yesterday prepping for an interview. First, the usual, copy-pasted my resume and the job description, telling it to "upload this to your memory 'cause we are going to talk about it later". Then I grilled it with questions about stuff I didn't get in the job spec, and chatgpt helped me figure things out. I asked it to list the four or five key things they are looking for in the role. Then I told chatgpt to quiz me with ten questions, one at a time, to help me think about how I have gained experience in those areas. After the ten questions, it gave me strengths/weaknesses and a summary. Finally, I had chatgpt summarize each of my answers into three bullet points. Now have got a list of stories ready to go for any interview. No matter the question, I can steer the convo toward one of these success stories.
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Interview questions from similar companies

Interview Questionnaire 

1 Question

  • Q1. What PCA, Decision tree and computer vision
  • Ans. 

    PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.

    • PCA is used to reduce the number of variables in a dataset while retaining the most important information.

    • Decision trees are used to classify data based on a set of rules and conditions.

    • Computer vision involves usin...

  • Answered by AI

Skills evaluated in this interview

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Interview Questionnaire 

1 Question

  • Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.

I applied via Job Portal and was interviewed in Jan 2021. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Basic Hypothesis Understanding !
  • Q2. Apache Spark and Data Frames

Interview Preparation Tips

Interview preparation tips for other job seekers - Ask clearly for job role they said data scientist but currently I am doing MLOPS

Interview Questionnaire 

2 Questions

  • Q1. Three skills required to be a good data scientist?
  • Ans. 

    A good data scientist needs strong analytical skills, programming expertise, and effective communication abilities.

    • Analytical Skills: Ability to interpret complex data sets and derive actionable insights. For example, using statistical methods to identify trends.

    • Programming Expertise: Proficiency in languages like Python or R for data manipulation and analysis. For instance, using Python libraries like Pandas and NumPy...

  • Answered by AI
  • Q2. Answer: Curious , Extremely argumentative and judgemental
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
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. About Machine learning basics, activation functions linear regression, cnn, all basics..
  • Q2. About project questions, about sdlc basic 3 questions
  • Q3. About Why not used another model for training?
  • Ans. 

    Choosing the right model depends on data characteristics, problem complexity, and performance metrics.

    • Model performance: Some models may outperform others based on metrics like accuracy, precision, or recall. For example, Random Forest may perform better than Logistic Regression on complex datasets.

    • Data characteristics: The nature of the data (e.g., linear vs. non-linear relationships) influences model choice. For inst...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare Machine learning basics and project details well..
Are these interview questions helpful?
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview in Oct 2024, where I was asked the following questions.

  • Q1. Bias vs variance
  • Ans. 

    Bias refers to error due to overly simplistic assumptions, while variance refers to error due to excessive complexity in the model.

    • Bias is the error introduced by approximating a real-world problem with a simplified model. Example: A linear model for a non-linear relationship.

    • Variance is the error introduced by the model's sensitivity to small fluctuations in the training data. Example: A complex model that fits noise.

    • ...

  • Answered by AI
  • Q2. Banking domain questions
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Campus Placement and was interviewed in Apr 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Aptitude Test 

Java script, angular js, node questions

Round 3 - Technical 

(2 Questions)

  • Q1. Asked about Company and why do you choose genpact?
  • Q2. Questions on my projects and college experience

Interview Preparation Tips

Topics to prepare for Genpact Data Scientist interview:
  • SQL
  • DBMS
  • Operating Systems
Interview preparation tips for other job seekers - Projects mostly and dbms sql
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Apr 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 - Case Study 

DS related Case study and discussion

Round 3 - Coding Test 

Python code example test where they will ask basic python or sql questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared with statistics and previous projects that you have worked on.

QBE Interview FAQs

How many rounds are there in QBE Data Scientist interview?
QBE interview process usually has 1 rounds. The most common rounds in the QBE interview process are One-on-one Round.

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Overall Interview Experience Rating

4/5

based on 1 interview experience

Difficulty level

Moderate 100%
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