Paid AI/ML Modeler Intern - Banking Data & Models

First National Bank; Pittsburgh (Allegheny County); On-site; USD 28,000 - 34,000; Full time

Benefits offered by this job

Paid Internship

No corporate housing

Job summary

First National Bank is offering a paid AI/ML internship in Pittsburgh to join the data engineering and architecture technology team. The role focuses on developing, testing, and deploying models in secure environments, with exposure to risk scoring, fraud detection, customer segmentation, and operational efficiency.

The internship emphasizes training, mentorship, and collaboration across data engineers, analysts, and compliance teams to ensure regulatory compliance and responsible AI use in

Qualifications

• Currently pursuing a bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Responsibilities

• 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.

Skills

Python

ML libraries

Data analysis

Git

Communication

Regulatory compliance

Education

Pursuing bachelor's degree in Computer Science/Data Science/Statistics/Math

Tools

Docker

Git

Job description

First National Bank is offering a paid AI/ML internship in Pittsburgh to join the data engineering and architecture technology team. The role focuses on developing, testing, and deploying models in secure environments, with exposure to risk scoring, fraud detection, customer segmentation, and operational efficiency.

The internship emphasizes training, mentorship, and collaboration across data engineers, analysts, and compliance teams to ensure regulatory compliance and responsible AI use in