The board
- Hours
- Part time
- Where
- Pittsburgh, PA
- Apply by
- End Date: October 17, 2026
- Posted
- Sep 2
Primary Office Location:
626 Washington Place. Pittsburgh, Pennsylvania. 15219.
Join our team. Make a difference - for us and for your future.
FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.
Internship Overview / Summary:
Position Title: Intern
Business Unit: Multiple
Reports To: Varies Based on Assignment
Position Overview:
As an intern at F.N.B., you have the opportunity to experience daily what you learned in your finance or economics classes, see how banks work satisfying the needs of businesses and consumers, enhance leadership skills working with high-performing executives, learn the skills that differentiates F.N.B in the marketplace, understand interest rates and other key financial drivers, acquire credit skills key to portfolio health and learn complex regu…
What you'd do
- Deadline to submit application: October 17. 2026
- Paid Internship
- No Corporate housing is offered and/or available
- This role requires a highly motivated and detail-oriented AI/ML Modeler & Developer to join FNB enterprise data engineering and architecture technology team.
- This internship is ideal for a rising college junior passionate about applying machine learning and artificial intelligence techniques to solve real-world problems in financial services.
- You will support the development, testing, and deployment of models within secure, on-premises and/or cloud environments, contributing to initiatives in customer deepening opportunities, fraud detection, credit risk, customer segmentation, and operational efficiency.
- Assist in building and validating machine learning models for banking use cases such as risk scoring, transaction classification, and customer behavior analysis.
- Work with structured and unstructured data from internal banking systems to prepare datasets for modeling.
- Support the deployment of models in on-premises environments using tools like Python, Docker, and internal APIs.
- Collaborate with data engineers, business analysts, and compliance teams to ensure models meet regulatory and operational standards.
- Document model development processes, assumptions, and performance metrics.
- Participate in code reviews, testing, and troubleshooting of deployed models.
- Starts
- 2026-09-01