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Information Technology Intern (Graduate Student)
- Washington, Utah, United States
- Washington, Utah, United States
About
Information Technology Services is responsible for AARP enterprise-wide technology and information security functions. Services range from infrastructure design and operations, system and software lifecycle implementations, enabling the mobile workforce and protecting AARP network, systems and data. A variety of technologies and practices are used including cloud computing, automation, artificial intelligence and machine learning within highly collaborative Agile teams.
Are you a graduate student seeking to put your solid computer science, technology, business, and people skills into practice? Do you have a passion for thinking and acting in an agile manner and implementing ideas that impact the 50+ community? Then AARP's Information Technology Services (ITS) team is looking for you! The ITS mission is to design, deliver, operate, and promote technology solutions that enable AARP to achieve its goals.
As a Technology Intern , you will apply strategic, analytical, and creative thinking to solve challenging technology problems. On any given day, you could be working with Information Technology Engineers, Platform Managers, Business Partners, or IT Executives, focusing on the most important problems we are trying to solve to ensure we meet the business needs and advance the AARP mission to support the 50+. We'll challenge you to think and work in new ways. We are committed to your growth and cultivating your continued learning and development. This paid internship is set to begin in July 2026, with the possibility of extension for additional semesters.
Responsibilities Strategic
Applying innovative thinking and problem-solving skills to address data-related challenges within the Information Technology Services department
Meeting with key leaders to learn how data science supports the design, delivery, operation, and promotion of technology solutions that enable AARP to achieve its goals
Analytical
Cleaning, preparing, and analyzing datasets to generate actionable insights for IT-related projects
Contributing to the interpretation of data analysis results and documenting findings in clear, concise reports for stakeholders
Design Thinking
Learning and applying AARP’s Design Thinking framework to understand user needs and achieve results that align with business objectives
Exploring innovative solutions for data science projects, focusing on user-centered outcomes
Operational
Collaborating with technology stakeholders to deliver data-driven service solutions that improve system security, performance, and availability
Applying agile principles and practices while working on IT capability and platform team initiatives
Supporting process improvement efforts, including constructing and deploying process-centric Business Process Management (BPM) solutions
Developing predictive models using supervised and unsupervised machine learning techniques to solve IT-related challenges, such as predicting ticket escalations or identifying anomalies in system performance
Evaluating the performance of machine learning models using appropriate metrics (e.g., R², RMSE, F1 scores) and iterating on model improvements
Completing an end-of-internship project that showcases your knowledge and presenting findings to IT leadership
Qualifications
Prospective interns must be currently enrolled in a graduate degree program or as post-doctoral students, and must remain academically enrolled throughout the internship
Pursuing a graduate degree in Data Science, Computer Science with a Data Science concentration, or Applied Statistics
Advanced problem-solving skills using logic and data
Critical thinking and analytical skills
Ability to articulate complex technical issues to those not as experienced
The ideal person will possess the willingness and capacity to learn quickly and apply new knowledge
They will also have proven analytical skills, excellent written and oral communication abilities
Must be available to participate in the intern program in the summer, working 40 hours a week
Advanced user of Excel, PowerPoint, and Word
College-level experience with coding practices and languages (such as Java, C/C++, Python, or others)
Experience with popular business tools (Windows, Office Professional, Visio, SharePoint, etc.)
Preferred (Nice to Have)
Foundational experience with Python and basic machine learning concepts (e.g., classification, regression, or simple predictive models)
Exposure to Natural Language Processing (NLP) concepts, such as text classification, keyword extraction, or sentiment analysis
Familiarity with modern AI tools or frameworks, such as introductory use of models like BERT or similar NLP libraries
Interest in applying AI to real-world business problems, such as improving IT service processes or analyzing operational data
Awareness of AI-assisted tools, such as Microsoft Copilot or similar platforms, and curiosity about how they can improve productivity and decision-making
Interest in building or interacting with lightweight automation or AI agents, such as Copilot Studio, chat-based workflows, or task automation
AARP will not sponsor an employment visa for this position at this time.
Additional Requirements
Regular and reliable job attendance
Exhibit respect and understanding of others to maintain professional relationships
In office/open office environment with the ability to work effectively surrounded by moderate noise
Hybrid Work Environment AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.
Compensation and Benefits The hourly range is $18 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates. Internships are non-exempt positions and are not eligible for employee benefits.
Equal Employment Opportunity AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.
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Languages
- English
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