Summer 2027 AI/ML Modeler Intern

• Deadline to submit application: October 17. 2026
• Paid Internship
• No Corporate housing is offered and/or available

• →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.

It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

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 Required Technical Qualifications:
  • 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, NumPy).
  • 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.

• Internship Required Soft Skills:
  • 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.