Data, Modeling, and Analytics Undergraduate Intern
PNC Financial
- Location
- PA - Pittsburgh (15222)
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- Posted
- 14h ago
Skills
About this role
Position
Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data, Modeling, and Analytics Intern within PNC's Data, Modeling, and Analytics organization, you will be based in Pittsburgh, PA or Tysons, VA. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
Job Description
As a PNC Intern, you will participate in a best-in-class internship program and jump start your career at a top U.S. bank. During this 10-week program you will work directly with PNC’s team of quantitative analysts, portfolio managers, and data scientists . You will develop the tools you need to launch a successful career and complement your education with real-world experience. The Data, Modeling, and Analytics (DMA ) Internship Program provides exposure to quantitative and business analytics, data science and modeling, and data‑driven decision‑making across commercial and consumer businesses. Interns work with experienced professionals who transform data into actionable insights to support portfolio management, risk management, capital decisions, and business strategy. Interns gain exposure to real-world business problems and apply PNC’s vast collection of analytical and modeling tools: Generative AI (e.g. GitHub Copilot) Cloud-based platforms (e.g. AWS) Big Data systems (e.g. Apache Hadoop) Application Development (e.g. SQL, Python, R, and Tableau) Quantitative development and deployment environments Job Profile Participates as an intern in the PNC summer internship program. Performs or assists with the core activities of the group by applying knowledge learned to drive business results (e.g. deal, sales, or process support, internal or external customer interaction, or supporting internal projects). Works under supervision and may have limited approval and/or exception authority. Participates in social learning within the organization (e.g. identifies and networks with business representatives and peers, participates in mentoring, job shadowing and community outreach) PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. To learn more about this opportunity, please watch this video . Required Education and Experience : Working toward a bachelor's degree , preferably STEM or business majors ( e.g. Analytics, Data Science, Mathematics, Statistics, Finance, Economics, Business ) . Other majors can be considered if there is a strong proven interest in analytics. Junior status Minimum GPA 3.2. Experience in data analysis, preferably using SQL, Python, R, and/or Tableau.
Qualifications
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Competencies Accuracy and Attention to Detail, Analytical Thinking,