Protective Life Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 6 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Protective Life.
Protective Life
Data Scientist
Lead Difficult Positive experience Accept offer 4 rounds
Interview process
Phone screen Technical screen Onsite Background check
Interview formats
Technical Behavioral
The interview process included a phone screening and then several rounds. The first interview was with senior members of the data science team, who asked about my previous work and experience, as well as technical questions, particularly on GLM models. Next, I had an hour-long interview with the Head/VP of Data Science. They were very knowledgeable and experienced, and although I was initially nervous, they made me feel comfortable by asking about my background, projects, and strengths, tailoring their questions accordingly. Their questions focused on essential statistical and data science fundamentals. They also asked about AI/NLP algorithms and processes. This interaction with a senior data science leader was great. Following that, there was a brief interview with a management executive, and then lunch with peers. Overall, it was a positive interview experience.
Confirmed questions8 questions
- Can you tell me about your experience with GLM models?
- Could you explain your understanding of sampling techniques?
- What is your approach to defining a cost function?
Protective Life
Data Scientist
Manager Difficult Positive experience Decline offer 5 rounds
Interview process
Recruiter call Technical screen Presentation Onsite Offer
Interview formats
Technical Presentation Behavioral
The interview process was pretty smooth, they communicated clearly what to expect. It had five rounds: interview with the hiring manager, two senior leaders, a technical presentation with the team and a final chat with the hiring manager. They checked my data science experience and behavioral skills. What was great was that the hiring manager was upfront about everything and very helpful. The team was really engaged during the technical presentation and asked good questions. The HR team was also proactive and quick to respond.
Confirmed questions2 questions
- Can you give a technical talk about a key project?
- Explain why triplet loss results in better embeddings compared to pairwise similarities.
Protective Life
Data Scientist
Mid Difficult Negative experience No offer 3 rounds
Interview process
Recruiter call Phone screen Onsite
Interview formats
Technical Behavioral
HR called unexpectedly and scheduled a phone interview for the next day with two team members back-to-back. This interview focused on concepts and approaches. The final round was with a senior leader who was condescending and grilling, making me feel small, all for very low compensation.
Confirmed questions1 question
- Questions were heavily based on statistics concepts.
Protective Life Data Scientist Interview Questions
Quoted word for word from Protective Life interview reports.
“Explain why triplet loss results in better embeddings compared to pairwise similarities.”
Read reports →“What's your definition of data science?”
Read reports →“What is your approach to defining a cost function?”
Read reports →“Could you review these statistical outputs from a programming language and explain your findings or guidance based on the results?”
Read reports →“What are your thoughts on AI and NLP algorithms and processes?”
Read report →“Could you explain your understanding of sampling techniques?”
Read report →“What is your dream company? (You have to say Protective Life)”
Read report →“How do you typically test your models?”
Read report →“If you had the choice, would you join a large, mid-size, or small company?”
Read report →Formats, difficulty and experience
Across all 6 Protective Life interview reports.