GEICO Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 18 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at GEICO.
GEICO
Data Scientist
Mid Average Positive experience No offer 4 rounds
Interview process
Recruiter call Technical screen Technical screen Technical screen Onsite
Interview formats
Technical Coding Technical
HR was super patient. The whole thing went smoothly and fast. There were 4 interview rounds. First was ML stuff plus my resume. Second was python, SQL, and an easy algorithm. Third was about real machine learning models for a case study. Last one was with a manager, covering my resume and one ML model.
Confirmed questions7 questions
- Can you explain the decision tree algorithm?
- What are the fundamentals of random forest?
- How does KNN work?
GEICO
Data Scientist
Entry Average Negative experience No offer 4 rounds
Interview process
Recruiter call Technical screen Take home Background check Offer
Interview formats
Behavioral Technical Coding
I applied online and HR from Geico contacted me within a day or two. They set up a 30-minute call with a data scientist, which went well. The data scientist asked about my data science/analytics background. The next step they said would be a take-home test where I'd build a hypothetical prediction model. I had 4 days to complete it and submitted my code and results. Unfortunately, things got complicated after that. When I followed up a week later, HR confirmed they got my submission but didn't say if they were still reviewing it or if I wasn't moving forward. I expected a clearer response from a big company like Geico. About a month later, Geico reached out about continuing, but I had already accepted another data scientist role.
Confirmed questions1 question
- Can you tell me about a past data science project you were involved in?
GEICO
Data Scientist
Mid Easy Negative experience No offer 1 round
Interview process
Technical screen Onsite
Interview formats
Technical Coding
The onsite technical screen included SQL and Python coding questions. It was administered in a double-spaced Google Doc, which was a very inconvenient format. The interviewer seemed unsure about the problems themselves, causing confusion. GEICO, much like other finance or insurance companies, seems to have underdeveloped interview processes for data science roles. This aligns with their compensation, which is in the bottom quartile, suggesting they attract bottom-quartile talent.
Confirmed questions1 question
- How would you retrieve the final item from a Python list?
GEICO Data Scientist Interview Questions
Quoted word for word from GEICO interview reports.
“How would you retrieve the final item from a Python list?”
Read reports →“How does KNN work?”
Read reports →“Describe the Kmeans algorithm.”
Read reports →“What are the fundamentals of random forest?”
Read reports →“What are the different types of clustering analyses?”
Read report →“What are decision trees?”
Read report →“Can you explain bagging versus boosting in ensemble models?”
Read report →“Can you explain how to interpret the predictions from a specific model?”
Read report →“Can you explain how different machine learning algorithms function?”
Read report →Formats, difficulty and experience
Across all 18 GEICO interview reports.