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Salary
≈ $48k – $82k per year (Estimated)
Location
Hybrid (Washington, United States)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Jun 4, 2026.

Overview
Company
Impact
Profile match
AARP is a nonprofit, nonpartisan membership organization headquartered in Washington, DC that serves Americans aged 50 and older with advocacy, information and member benefits. Founded in 1958, it advocates on Social Security, Medicare and other policy issues, publishes content on health, money, work and caregiving, and operates AARP Services, a taxable subsidiary managing branded insurance, financial and travel products, as well as AARP Foundation, which works with older adults living in or near poverty. It hires in marketing, business development, finance, legal and litigation, research, product management and user experience, and offers advocacy internships in state offices.
Overview:

AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin.

Data & Analytics leverages business intelligence gained through advanced data analytics in order to maximize AARP's marketing and communications results. This includes using data science, data engineering, predictive modeling, and market analytics to guide data driven decision making.

TheAARP Data Science & Advanced Analytics team is seeking a curious and creative intern to support ongoing enhancements to Data Science-owned AI/ML and agentic personalization capabilities across our digital channels. This paid internship, anticipated to begin in Fall 2026 with the potential to extend into additional semesters, sits within the Data Science function and focuses on AI-driven personalization, content intelligence, audience engagement analysis, and emerging agentic decisioning initiatives. The intern will help evaluate engagement signals, content effectiveness, and qualitative feedback to support the evolution of AI/ML-powered personalization systems and optimization frameworks. This internship offers hands-on exposure to how analytics, content strategy, audience engagement, and AI work together to improve personalized digital experiences, while supporting Data Science-led AI and agentic personalization initiatives focused on content intelligence, engagement optimization, and AI-assisted decisioning. Ideal candidates will have an interest in media, marketing analytics, audience strategy, communications, digital content, consumer behavior, personalization, and emerging AI technologies, combined with strong analytical thinking, intellectual curiosity, and the ability to connect insights to business outcomes.

Responsibilities:

  • Support ongoing improvements to Data Science-owned AI/ML and agentic personalization capabilities
  • Review personalized content recommendations and engagement trends
  • Evaluate content relevance, freshness, tone, and audience alignment
  • Analyze web, app, and email engagement patterns and analytics
  • Support experimentation and optimization initiatives
  • Provide structured qualitative feedback to support AI-assisted decisioning
  • Assist with summaries, presentations, analytics reviews, and insight documentation

Qualifications:

  • Currently pursuing an undergraduate or graduate degree in Media & Marketing Analytics, Audience Strategy, Digital Media, Integrated Marketing Communications, Business Analytics, Consumer Strategy, Marketing, Communications, or a related field
  • Strong interest in digital experiences, consumer engagement, personalization, and emerging AI technologies
  • Ability to think analytically, synthesize insights, and communicate findings clearly to both technical and non-technical audiences

Additional

  • Exposure to digital publishing, content marketing, audience development, or marketing analytics
  • Familiarity with audience engagement metrics, reporting, dashboards, or performance measurement
  • Interest in personalization, AI/ML, experimentation, recommendation systems, or emerging agentic AI applications
  • Experience creating presentations, reports, content analyses, or research summaries
  • Comfort working with both quantitative and qualitative information to identify patterns, opportunities, and insights
  • Curiosity about how data, content, and technology can work together to improve customer experiences and business outcomes

AARP will not sponsor an employment visa for this position.

Additional Requirements

  • Regular and reliable job attendance
  • Effective verbal and written communication skills
  • Exhibit respect and understanding of others to maintain professional relationships
  • Independent judgement in evaluation options to make sound decisions
  • 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 $18.40 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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