Difficulty
Easy
Candidate-reported interview insights
AIG Data Scientist interviews, decoded.
Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Data Scientist role at AIG.
3.6 rating Insurance Carriers
Interview overview
Average rounds
2.6
Average duration
~44 days
Difficulty and candidate experience
Interview difficulty
easy42.9%
average42.9%
difficult14.3%
Candidate experience
positive14.3%
neutral57.1%
negative28.6%
Candidate-reported interview process
The interview process had 3 rounds. It started with a recruiter call, then a technical team reviewed the take-home assignment, and the final round was with the hiring manager. It was pretty quick and streamlined, focusing on problem-solving and technical skills.
Started with a recruiter call, then had a technical interview. It focused on Machine Learning and software development skills. There were also some simple live coding questions. The role involves using ML to guide decisions about insuring the trading of goods.
I applied online. It took about a month to get an online test. The test was 2 hours long and had at least 3 questions, all of which were coding problems. Two weeks after that, I had a 1-hour phone interview with two interviewers where most of the questions were about machine learning concepts and basic math.
Common AIG Data Scientist interview questions
A focused selection of the most detailed candidate-submitted questions.
- 1
How did you find feature relationships with the target variable?
- 2
What experience do you have with version control, eg: Git?
- 3
Why did you choose one model over another in this task?
- 4
Have you ever developed your own Neural Network?
Interview question formats
Technical46.7%
Coding26.7%
Behavioral26.7%
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Interview information is based on candidate reports and may not represent the current official hiring process of AIG.