AI & Innovation Intern: Banking ML & DataOps

First National Bank; Pittsburgh (Allegheny County); On-site; USD 25,000 - 30,000; Full time

Job summary

First National Bank is seeking an AI and Innovation Intern in Pittsburgh to gain hands-on exposure to the full AI lifecycle, including fraud detection, risk modeling, personalisation, automation, and compliance monitoring. You will work with data engineering, cloud platforms, and model lifecycle management under senior supervision.

You will collaborate with business, technology, cybersecurity and compliance teams to integrate AI into enterprise strategy and participate in vendor evaluations to

Qualifications

• Minimum Education: High School or GED.
• Special Skills: Must be officially enrolled in an undergraduate bachelor program in Finance, Accounting, Marketing or Information Technology.

Responsibilities

• AI Use Case Exploration: Research and evaluate potential AI applications in banking, including fraud detection, credit risk modeling, customer personalization, automation, and compliance monitoring.
• Model Development Support: Assist in designing, training, validating, and testing machine learning and generative AI models under guidance.
• Data Engineering & MLOps: Support data pipeline development, cloud-based workflows, and model lifecycle management for scalability.
• AI Governance & Responsible AI: Participate in compliance, ethics, bias testing, privacy, and security in banking AI.
• Collaboration & Teamwork: Work with business, technology, cybersecurity, and compliance teams.
• Vendor & Tool Evaluation: Assess third-party AI tools ensuring alignment with risk and security standards.
• Research & Innovation: Stay updated on AI trends and share insights to enhance initiatives.
• Documentation & Reporting: Prepare reports and presentations for leadership review.

Education

High School or GED

Job description

First National Bank is seeking an AI and Innovation Intern in Pittsburgh to gain hands-on exposure to the full AI lifecycle, including fraud detection, risk modeling, personalisation, automation, and compliance monitoring. You will work with data engineering, cloud platforms, and model lifecycle management under senior supervision.

You will collaborate with business, technology, cybersecurity and compliance teams to integrate AI into enterprise strategy and participate in vendor evaluations to