Summer AI​/ML Modeler Intern

Primary Office

Location:

626 Washington Place. Pittsburgh, Pennsylvania. 15219.

Deadline to submit application:
October 17. 2026

Paid Internship

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.

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.
• Stay informed about emerging trends in AI/ML and their applications in banking.

• Currently pursuing a bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Familiarity with Python and ML libraries (e.g., Scikit-learn, Pandas, Num Py).
• Basic understanding of machine learning concepts and supervised/unsupervised learning techniques.
• Exposure to version control tools (e.g., Git) and containerization (e.g., Docker).
• Strong analytical and problem-solving skills.
• Ability to work in a secure, regulated environment with attention to data privacy and compliance.

• Strong communication skills – able to explain technical concepts to non-technical stakeholders clearly and concisely.
• Team collaboration – comfortable working in cross-functional teams and contributing to group problem-solving.
• Adaptability – open to learning new tools, methods, and responding to changing project requirements.
• Attention to detail – meticulous in data handling, documentation, and model validation.
• Time management – able to prioritize tasks and meet deadlines in a fast-paced environment.
• Ethical mindset – understands the importance of fairness, transparency, and accountability in AI applications, especially in financial services.

• Internship or academic project experience in AI/ML or data analytics.
• Knowledge of SQL and experience working with relational databases.
• Understanding of banking operations or financial services is a plus.
• Experience with cloud and/or on-premises deployment tools or enterprise IT environments.

• Mentorship and training in AI/ML development within the banking sector.
• Opportunities to work on impactful projects that improve customer experience and operational efficiency.
• A collaborative and inclusive team environment.
• Career development and growth within a leading financial institution.

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 regulatory…