
Milliman Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 9 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Milliman.
Data Scientist Intern
The interview process was very straightforward and easy. The recruiter was helpful throughout and the data scientists I spoke with were all really smart and pleasant. There wasn't a coding part, but there were technical questions and standard interview questions.
- What is a weakness of statistics, in your opinion?
Data Scientist
I applied online and heard back two weeks later about submitting a recorded video, which had a one-week deadline. Then, after another two weeks, they emailed to set up a technical interview. Within a week, I had an onsite interview that lasted from 9:30 AM to 4:30 PM, including a 1.5-hour lunch interview. The onsite itself had 7 rounds with about 14 people, including two from different departments. They eventually rejected me three weeks later.
- Can you walk us through the KNN algorithm mentioned on your resume?
- Could you explain Logistic regression?
- Could you provide the Python code for FizzBuzz?
Data Scientist
It was a messy interview process. I started with a technical assessment that took 2-3 hours, involving Excel and SAS code. After that, the recruiter had some follow-up questions about my experience, which I answered via email. Then, they scheduled about 3 hours of onsite interviews, consisting of 5-6 rounds, each 30 minutes long with no breaks. It felt like diversity wasn't a priority. They ended up low-balling me with an offer for a Senior Data Analyst role, citing a lack of 'claims data experience' which they could have seen on my resume. They also seemed unsure about the role of a Data Scientist within their organization.
- What's your approach to handling multiple competing priorities?
Milliman Data Scientist Interview Questions
Quoted word for word from Milliman interview reports.
“Could you provide the Python code for FizzBuzz?”
Read reports →“Can you explain the XG Boost algorithm?”
Read reports →“What is a weakness of statistics, in your opinion?”
Read reports →“Could you explain Logistic regression?”
Read reports →“How would you write a SQL query for (specific task)?”
Read report →“Have you ever used R Shiny?”
Read report →“What's your background with Shiny?”
Read report →“Can you tell me about your experience with SAS, Python, and R?”
Read report →“Could you describe some of your projects that involved Shiny?”
Read report →Formats, difficulty and experience
Across all 9 Milliman interview reports.