2026 Technology and Data Internship – T. Rowe Price

T. Rowe PriceOwings Mills, MD
11h$25 - $25Hybrid

About The Position

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident. We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity. Join us for the opportunity to grow and make a difference in ways that matter to you. Role Summary The T. Rowe Price internship program includes a formal orientation, peer and senior mentor assignments, and formal learning opportunities. In addition to the work assignments within the assigned department, interns also gain exposure to associates and senior leaders across the firm through an executive speaker series, networking and social events, and engagement with our Business Resource Groups. T. Rowe Price is seeking a motivated and detail-oriented Technology and Data Intern to join our team for the summer. The intern will work alongside technology and data professionals to support projects focused on data analysis, software development, process automation, and the adoption of cutting-edge AI tools. This is an excellent opportunity to gain hands-on experience in financial technology while contributing to real-world business solutions. Responsibilities You will be placed within a specific department within Global Technology.

Requirements

  • Full time student pursing a bachelor’s degree with an expected graduation date of December 2026 – May/June 2028.
  • Major: Computer Science, Computer Engineering, Mathematics, Engineering, Physics, or Data Science
  • Familiarity with programming languages (Python, Java, etc.) and data analysis tools.
  • Interest in AI technologies and experience using AI platforms (such as ChatGPT, Microsoft Copilot, or similar).
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently and in a collaborative team environment.
  • Eagerness to learn new technologies and contribute to innovative solutions
  • Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status)

Nice To Haves

  • Cumulative grade point average of at least 3.0 on a 4.0 scale
  • Actively seeks feedback and mentorship in order to improve technical skills (e.g., through submitting work for code or model review)
  • A commitment to continuous learning and development
  • Enthusiasm for learning & results oriented

Responsibilities

  • Collaborate with technology and data teams to analyze business needs and design data-driven solutions.
  • Assist in the development, testing, and deployment of software applications and automation scripts.
  • Support data collection, cleaning, and visualization efforts using tools like Python, SQL, and Power BI.
  • Utilize AI tools (such as large language models, generative AI platforms, and machine learning algorithms) to enhance data analysis, reporting, and workflow automation.
  • Document technical processes and create user guides for newly developed solutions.
  • Participate in team meetings, brainstorming sessions, and cross-functional projects related to technology and data.
  • Stay current with emerging technologies, trends in AI, and best practices in data management.

Benefits

  • Competitive compensation
  • Annual bonus eligibility
  • A generous retirement plan
  • Hybrid work schedule
  • Health and wellness benefits, including online therapy
  • Paid time off for vacation, illness, medical appointments, and volunteering days
  • Family care resources, including fertility and adoption benefits
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