QBE Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 5 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at QBE.
QBE
Data Scientist
Mid Average Negative experience No offer 3 rounds
Interview process
Recruiter call Take home Technical screen
Interview formats
Technical Coding Presentation
The process started well with clear updates, good communication, and positive feedback after each stage. I completed all interviews and assessments successfully and was told things were moving toward an offer. Then, without warning, the process ended because my salary expectation was “over budget.” This figure was clearly stated at the very first application stage. If it was beyond budget, it should have been addressed right away and not after weeks of interviews, take-home work, and document sharing. Extremely frustrating, unprofessional, and a complete waste of time!
Confirmed questions1 question
- Can you give a detailed walkthrough on your current Data Science projects?
QBE
Data Scientist
Entry Average Neutral experience No offer 2 rounds
Interview process
Recruiter call Take home
Interview formats
Behavioral Technical
Had an initial call with a data scientist where we talked about my past experiences and how QBE is structured. It wasn't a super technical chat, but I got to ask them a lot of questions, which was good. Then, I was given a take-home data science task. The task was to build a model for claim frequencies using a dataset they supplied. I didn't get any further in the process and wasn't happy about not getting any feedback, especially after having to do a take-home task like that.
Confirmed questions2 questions
- Can you tell me about your experience at company A, and perhaps discuss why alternative approaches weren't explored?
- Build a model for claim frequencies using the provided dataset.
QBE
Data Scientist
Mid Average Positive experience No offer 1 round
Interview process
Technical screen
Interview formats
Behavioral Technical
The interview had a behavior questions part and a technical questions part. The technical questions part was more substantial, covering past experience with technologies, difficult situations, and explanations of forecasting models. Preparation for the technical questions is highly recommended.
Confirmed questions4 questions
- Can you discuss how you've used various models in your previous work?
- Tell me about your past experiences using different technologies.
- Describe a challenging situation you faced in your work.
QBE Data Scientist Interview Questions
Quoted word for word from QBE interview reports.
“Build a model for claim frequencies using the provided dataset.”
Read reports →“Regarding classification trees or random forests, how would you handle datasets with significantly unbalanced classes?”
Read reports →“Explain some of the forecasting models you have utilized.”
Read reports →“Can you give a detailed walkthrough on your current Data Science projects?”
Read reports →“Can you discuss how you've used various models in your previous work?”
Read report →“Could you describe one of your most successful projects?”
Read report →“Describe a challenging situation you faced in your work.”
Read report →“Can you tell me about your experience at company A, and perhaps discuss why alternative approaches weren't explored?”
Read report →“Tell me about your past experiences using different technologies.”
Read report →Formats, difficulty and experience
Across all 5 QBE interview reports.