100+ Chubb Interview Questions & Answers | Complete Prep Guide 2025

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Data Scientist Interview Questions & Answers

Anonymous

posted on 10 Jun 2022

I applied via Naukri.com and was interviewed in May 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.

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Round 2 - Technical

(6 Questions)

Q1. (interviewer observed that i am nervous. so, he did some small talk, i presume to make me feel comfortable)

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Q2. (after describing a project on my resume) explain recall in plain english? why did you use recall as evaluation metric? how do you calculate recall for mutli-label data? how did you decide the number of hi...

Ans.

Recall is a metric used to measure the ability of a model to find all relevant instances in a dataset.

Recall is the ratio of true positives to the sum of true positives and false negatives.
It is used as an evaluation metric to assess the model's ability to identify all positive instances correctly.
In multi-label data, recall can be calculated for each label separately and then averaged.
The number of hidden layers and n...

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Q3. What is universal approximation theorm?

Ans.

Universal approximation theorem states that a neural network with a single hidden layer can approximate any continuous function.

A neural network with a single hidden layer can approximate any continuous function
It is a fundamental theorem in the field of deep learning
The theorem applies to a wide range of activation functions
The number of neurons required in the hidden layer may vary depending on the complexity of the ...

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Q4. How does backpropagation in neural networks work?

Ans.

Backpropagation is a supervised learning algorithm used to train neural networks by adjusting weights to minimize error.

It involves propagating the error backwards through the network to adjust the weights of the connections between neurons.
The algorithm uses the chain rule of calculus to calculate the gradient of the error with respect to each weight.
The weights are then updated using a learning rate and the calculate...

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Q5. In what scenarios would you advice me to not use ReLU in my hidden layers?

Ans.

Avoid ReLU when dealing with negative values or vanishing gradients.

When dealing with negative values, use Leaky ReLU or ELU instead.
When facing vanishing gradients, use other activation functions like tanh or sigmoid.
In some cases, using ReLU in all layers can lead to dead neurons.
Consider the nature of your data and the problem you are trying to solve before choosing an activation function.

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Q6. Some questions on Named Entitiy Recognition(NER)

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Round 3 - Technical

(8 Questions)

Q1. (after describing a project on my resume) how did the end users use this project? why did you choose to use the techniques/methods that you di? if you don't have labelled data, how would you go about doing...

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Q2. How will you get the embeddings of long sentences/paragraphs that transformer models like BERT truncate? how will you go about using BERT for such sentences? will you use sentence embeddings or word embeddings for this? AND name models that can handle such long inputs if you know any?

Ans.

To get embeddings of long sentences/paragraphs truncated by BERT, we can use pooling techniques like mean/max pooling.

We can use pooling techniques like mean/max pooling to get embeddings of truncated sentences/paragraphs.
We can also use sliding window approach to get embeddings of overlapping segments of the long input.
For using BERT on such long inputs, we can use sentence embeddings or word embeddings depending on t...

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Q3. (after describing a project on my resume) brief all the pre-processing you have done for this multi-label text classification problem!

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Q4. If you were an animal or bird, which one would you want to be and why?

Ans.

I would want to be a dolphin because of their intelligence, social nature, and ability to swim freely in the ocean.

Dolphins are known for their high level of intelligence and problem-solving abilities.
They are highly social animals and live in groups called pods.
Dolphins have the ability to communicate with each other using a complex system of clicks, whistles, and body movements.
They are also known for their agility a...

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Q5. What makes you angry/frustrated on your teammates or people at work?

Ans.

Lack of communication, unresponsiveness, and lack of accountability frustrate me.

Lack of communication: When teammates fail to communicate important information or updates, it hampers the progress of the project.
Unresponsiveness: When teammates do not respond to emails, messages, or requests in a timely manner, it slows down the workflow and creates bottlenecks.
Lack of accountability: When teammates do not take respons...

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Q6. Why do you want to join Chubb? [have a genuine answer ready, not a googled one]

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Q7. If you manager/upper-management has asked you to do something in a way that seems stupid to you, how will you tackle this? or will you continue to do it the stupid way?

Ans.

I would respectfully discuss my concerns with my manager and propose alternative solutions.

Initiate a conversation with the manager to understand their perspective
Express concerns and provide logical reasoning for alternative approaches
Present data or examples to support the proposed solutions
Maintain a respectful and professional attitude throughout the discussion

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Q8. Why are you looking for new opportunities after only 1 and half years at your current company?

Ans.

Seeking new opportunities to further develop my skills and contribute to a more challenging and dynamic environment.

Looking for new challenges and growth opportunities
Seeking a more dynamic and innovative work environment
Wanting to work on a wider range of projects and gain diverse experience
Desire to contribute to a company with a stronger focus on data science
Exploring opportunities for career advancement and profess

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Round 4 - HR

(2 Questions)

Q1. Why are you looking for new opportunities or change?

Ans.

I am looking for new opportunities or change because I want to further develop my skills and contribute to a dynamic and innovative team.

Seeking new challenges and growth opportunities
Interested in working with a diverse and talented team
Want to contribute to innovative projects and make a meaningful impact
Desire to expand knowledge and skills in data science
Looking for a company culture that aligns with my values and

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Q2. Why are trying for more offers, when you already have two offers with you?

Ans.

Exploring more offers to make an informed decision and maximize career growth.

To evaluate the best fit for my skills, interests, and long-term goals.
To negotiate better compensation and benefits.
To gain exposure to different industries, technologies, and projects.
To expand professional network and opportunities.
To ensure job security and minimize risks.
To have a backup option in case one offer falls through.
To explore ...

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Interview Preparation Tips

Interview preparation tips for other job seekers - interviews have been a lot practical, which i prefer to asking definitions that are just a google search away. if you do not answer to something, explain only that you know to the extent you do or just tell the interviewers that you do not know. intervieweres have also been more interested in my approach to the questions i did not have proper answers for. and interviewers didn't have a prepared set of questions, it was all spontaneous based on the projects on work, based on what I uttered. be prepared to answer and explain every word that come out of your mouth. questions may arise from anything. interviewers counter-question all that you explain, you must be able to explain why that can't be the case and why whatever that you have done makes more sense and fits the problem at hand.

be humble and calm, behaviour goes a long way.

Skills evaluated in this interview

Data Scientist Interview Questions asked at other Companies

Q1. for a data with 1000 samples and 700 dimensions, how would you find a line that best fits the data, to be able to extrapolate? this is not a supervised ML problem, there's no target. and how would you do it, if you want to treat this as a s... read more

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Senior Data Analyst Interview Questions & Answers

manthena saivarma

posted on 19 Oct 2024

Interview experience

Good

Difficulty level

Easy

Process Duration

2-4 weeks

Result

Selected

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

Round 1 - Coding Test

5 sql coding questions from hacker rank. Basic sql questions, if you are experienced you will solve them in 15 to 20 min

Round 2 - Technical

(4 Questions)

Q1. How do you seperate name from emails for example *****,***** etc.. We need to get name form those mails in sql

Ans.

Use SQL string functions like SUBSTRING and CHARINDEX to separate name from emails.

Use CHARINDEX to find the position of the '@' symbol in the email address.
Use SUBSTRING to extract the characters before the '@' symbol as the name.
Consider handling cases where there are multiple names or special characters in the email address.

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Q2. There is a table matches which has team 1,team 2 and winner columns. Sample data like ind pak pak and pak ind ind and sl ban sl. So a team can play mutliple matches. Final output should be team, no of matc...

Ans.

Calculate the number of matches won and lost by each team based on the given data in the matches table.

Group the data by team and count the number of matches won and lost for each team.
Use the winner column to determine the outcome of each match.
Create a query to calculate the number of matches won and lost for each team.
Example: Team A won 2 matches and lost 1 match.
Example: Team B won 1 match and lost 2 matches.

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Q3. Table a has 1, 1,0,0,null and table b has 1,0,null,null. Resultant rows for all joins

Ans.

The resultant rows for all joins between table a and table b with given values.

Inner join: 1
Left join: 1, 1, 0, 0, null
Right join: 1, 0, null, null
Full outer join: 1, 1, 0, 0, null, null

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Q4. Explain primary and secondary indexing. And more questions on indexing

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Round 3 - Technical

(3 Questions)

Q1. Explain about your projects

Ans.

I have worked on various projects involving data analysis, visualization, and predictive modeling.

Developed predictive models to forecast sales trends and customer behavior
Created interactive dashboards using Tableau for data visualization
Performed data cleaning and preprocessing to ensure accuracy and consistency
Utilized machine learning algorithms such as regression and clustering for analysis
Collaborated with cross-...

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Q2. Follow up questions on projects

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Q3. Write a query to seperate first name, midle name and last name from full name in sql

Ans.

Use SUBSTRING_INDEX function in SQL to separate first name, middle name, and last name from full name.

Use SUBSTRING_INDEX function to extract first name by specifying space as delimiter
Use SUBSTRING_INDEX function to extract last name by specifying space as delimiter and -1 as position
Use combination of SUBSTRING_INDEX and REPLACE functions to extract middle name if present

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Skills evaluated in this interview

Senior Data Analyst Interview Questions asked at other Companies

Q1. What is the difference between Least Squares Method and the maximum likelihood

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Chubb Interview Questions and Answers for Freshers

Automation Test Engineer Interview Questions & Answers

Anonymous

posted on 16 Dec 2024

Interview experience

Bad

Difficulty level

Hard

Process Duration

Result

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

Round 1 - Assignment

1. HackerRank Test conducted - One Java Coding, One Selenium Coding, 10 Objective questions

Round 2 - Technical