Chubb Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 17 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Chubb.
Chubb
Data Scientist
Entry Easy Positive experience No offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding Behavioral
The interview was done over a meeting. It was with 1 interviewer who was nice and friendly. He mostly asked questions about ML, DL, NLP, and PYTHON. He also asked me to code in python and gave me a scenario to analyze and figure out the answer.
Confirmed questions4 questions
- Could you explain the basics of Python?
- Could you explain the basics of machine learning?
- Could you explain the basics of deep learning?
Chubb
Data Scientist
Senior Average Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite Background check Offer
Interview formats
Coding Technical Behavioral
It was a horrible experience. I went through 3 rounds. The first round had a basic python coding question and some basic ML questions. The second round was with senior management and was mostly behavioral, discussing my previous work, details, and background. The third round was with top management and a junior data scientist, both from the US. They sent a dataset and a coding question via email, which involved basic pandas coding like forming a dataframe and performing operations. After all that, I was ghosted. I followed up with HR and got a vague answer that they moved on with another candidate. It's amazing how they waste candidate time and lack basic professional courtesy.
Confirmed questions7 questions
- A basic Python coding question was asked.
- Some basic ML related questions were asked.
- They asked about my previous work and details.
Chubb
Data Scientist
Entry Average Neutral experience No offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding Behavioral
After applying, I got a phone call 2 days later. The first round tech interview was scheduled for the following week. It had two parts: a coding test using Python and a modeling knowledge test. The coding test was the 'two sum' problem from LeetCode. I hadn't prepared any LeetCode questions. The modeling test was pretty straightforward, asking things like how to handle character and number variables for binary classification and how to evaluate model performance. I got rejected a week later. The HR person was nice and gave me all the feedback.
Confirmed questions5 questions
- Can you explain what object oriented programming is?
- Solve the Two Sum problem from LeetCode using Python.
- What model would you suggest for a binary classification task?
Chubb Data Scientist Interview Questions
Quoted word for word from Chubb interview reports.
“Solve the Two Sum problem from LeetCode using Python.”
Read reports →“What is the Keras function?”
Read reports →“What is the difference between AIC and BIC functions and their names?”
Read reports →“How does k-means clustering work?”
Read reports →“What do you know about pandas?”
Read report →“What are some methods to improve model accuracy?”
Read report →“Could you explain the basics of deep learning?”
Read report →“Could you describe the Random Forest algorithm and its mechanics?”
Read report →“Could you tell me when precision should be used versus when recall should be used?”
Read report →Formats, difficulty and experience
Across all 17 Chubb interview reports.