Franklin Templeton 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 Franklin Templeton.
Franklin Templeton
Data Scientist
Mid Difficult Positive experience No offer 1 round
Interview process
Technical screen
Interview formats
Technical Coding System Design
There were three team members interviewing me. They asked questions based on my resume, focusing on my key skills and projects I've completed. They also included a coding question, some SQL queries, and questions about joins.
Confirmed questions1 question
- Could you elaborate on questions related to system design?
Franklin Templeton
Data Scientist
Entry Difficult Positive experience Decline offer 5 rounds
Interview process
Recruiter call Technical screen Take home Presentation Offer
Interview formats
Behavioral Technical Coding Presentation
So, the interview process for this role involved 5 rounds. First up was an intro round, basically to get to know you and your background. Then came the technical round, followed by a case study you had to complete at home. After submitting the case study, you'd present it to a panel in the fourth round. The final round was all about fitment and discussing salary.
Confirmed questions8 questions
- Could you elaborate on the Bias-Variance trade-off?
- Can you describe the difference between bagging and boosting?
- How would you explain hypothesis testing?
Franklin Templeton
Data Scientist Intern
Intern Average Neutral experience No offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding Behavioral
I had a 30-minute interview. First, I talked about my main projects, what tech I used, and the results. Then, they asked me some basic Python and SQL stuff, like list operations, loops, joins, and writing queries. They also checked if I understood programming logic and how databases work. The main thing was seeing if I could actually use what I know and explain my project choices well.
Confirmed questions2 questions
- Can you explain how Large Language Models function and what steps you would take to implement one?
- How do LLMs work and how would you go about implementing it?
Franklin Templeton Data Scientist Interview Questions
Quoted word for word from Franklin Templeton interview reports.
“What is the significance of p-values?”
Read reports →“What is logistic regression?”
Read reports →“What are the fundamental assumptions of regression?”
Read reports →“What do you understand by f-stats?”
Read reports →“What metrics can be used for model comparison?”
Read report →“Can you describe the difference between bagging and boosting?”
Read report →“What are the key steps to address underfitting?”
Read report →“What strategies can be employed to avoid over-fitting?”
Read report →“Can you explain collaborative filtering?”
Read report →Formats, difficulty and experience
Across all 5 Franklin Templeton interview reports.