Data Science Intern

AARP • Washington, DC

3d • Hybrid

About The Position

AARP Services, Inc., founded in 1999, is a wholly-owned taxable subsidiary of AARP. AARP Services manages the provider relationships for and performs quality control oversight of the wide range of products and services that carry the AARP name and are made available by independent providers as benefits to AARP’s millions of members. The provider offers currently span health products, financial products, travel and leisure products, and life event services. Specific products include Medicare supplemental insurance; credit cards, auto and home, mobile home and motorcycle insurance, life insurance and annuities; member discounts on rental cars, cruises, vacation packages and lodging; special offers on technology and gifts; pharmacy services and legal services. AARP Services also engages in new product development activities for AARP and provides certain consulting services to outside companies.
With the explosion of Generative AI, a great opportunity exists to delicately understand members based on the content & articles they consume. The deliverable is to develop a data pipeline capability to collect AARP.org web content via web scraping, model topics via generative AI, create digital attributes based on modeled topics, and link the attributes to membership so we can better build models, segmentations, and signals to personalize member experience with commercial benefits.
If you have strong analytical, creative thinking, and results-driven skills and are interested in applying Generative AI (specifically, large language models) to real-world problems, this is a great internship opportunity for you. This paid internship starts in the Summer of 2026.

Requirements

• Must be enrolled in a degree program at an accredited college/university, rising undergraduate juniors or seniors, graduate students, or post-doctoral students, and must remain academically enrolled throughout the internship
• Pursuing a degree in computer science, statistics, science, technology, engineering, mathematics, marketing, operations research, or related fields
• Must be a self-starter and adaptable to work under tight deadlines
• Ability to manage multiple projects, anticipate project needs, and discern work priorities
• Proficiency in Spark, Databricks, AWS, and generative AI tools such as ChatGPT, Google Gemini, etc
• Technical fluency in PySpark (preferred), Python/Pandas, and SQL
• Must have some experience (professional or college-level) dealing with big data
• Databricks savvy or eager to learn new technologies
• ML libraries like TensorFlow, PyTorch, etc
• Communication skills – Strong organizational and communication skills. Exceptional written and verbal communication skills with experience building stories and narratives out of data
• Collaborative skills – Comfort working across multiple business teams, including technical and non-technical partners
• AARP will not sponsor an employment visa for this position at this time.
• 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

Nice To Haves

• Preference is given to candidates enrolled in a graduate program

Responsibilities

• Hands-on experience in Databricks to quantitatively study and explore member data to track and analyze member behavior
• Work on highly scalable ML models and algorithms in extensive data mining, Natural Language Process modeling & other domains, e.g., web scraping and model topics using generative AI large language models
• Working knowledge of Cloud environments, cluster optimization, and usage
• Present results of research and/or analysis, typically using data visualization techniques, sometimes to broader audiences within or outside of our company

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees