Summer 2027 - Data Scientist Intern

SAS • Cary, NC

20h • $29 - $49 • Hybrid

About The Position

The Data Scientist Intern will join SAS’s Applied AI Modelling (AAIM) team within R&D. The team designs, develops, and implements prebuilt models for SAS customers across industries including consumer packaged goods, manufacturing, retail, and insurance. The internship is part of SAS’s 12-week Summer 2027 program and is based at the Cary headquarters on a hybrid schedule, with at least three days per week in the office. Interns must be available to start in person on May 18, 2027; the internship runs through August 6, 2027, and these dates are not flexible.

The intern may build generative AI models and applications using large language models (LLMs) and visual language models (VLMs), collaborate on prompt engineering and retrieval-augmented generation (RAG), research and develop demos, and help optimize model deployment pipelines. The role offers experience working alongside specialists in areas such as machine learning, deep learning, natural language processing, and computer vision.

Requirements

• Currently pursuing a master’s or Ph.D. in an accredited program and not graduating before December 2027.
• Currently studying computer science, electrical engineering, or a closely related field.
• Experience with Python and generative AI foundation models such as GPT or Claude.
• Strong written and verbal communication skills.
• Leadership ability, initiative, and a willingness to go above and beyond.
• Interest in the future of analytics and openness to technology.
• Curiosity, passion, authenticity, and accountability.
• Legally authorized to work in the United States without requiring employment visa sponsorship now or in the future.
• Available to start in person at the Cary headquarters on May 18, 2027, and work through August 6, 2027.

Nice To Haves

• Experience developing and deploying large language models (LLMs), and experience with PyTorch, TensorFlow, Nvidia CUDA, or SAS.
• Experience with practical implementations of LLMs and advanced analytics projects.
• Experience with bash scripting, Docker, and Kubernetes.

Responsibilities

• Build generative AI models to address SAS customers’ challenges using large language models (LLMs) and/or visual language models (VLMs).
• Use libraries such as LangChain and LangSmith to build applications leveraging LLMs and VLMs.
• Collaborate with data scientists and assist with prompt engineering and retrieval-augmented generation (RAG) workflows to solve customer business problems.
• Research and develop high-quality demos illustrating practical applications of generative AI.
• Optimize the deployment pipeline for generative AI models.
• Work as part of a team with expertise in machine learning, deep learning, natural language processing, computer vision, and related specialties.

Benefits

• Hybrid work flexibility, with at least three days per week in the office.
• Free SAS programming training and certification.
• Well-being programs, including an on-site Work/Life Center, Recreation and Fitness Center, Employee Assistance Program (EAP), and subsidized cafés.
• Opportunities to participate in hackathons, social events, and other activities.
• Hourly pay of $29 to $49 for master’s- and Ph.D.-level internship roles; internship roles are not eligible for bonuses.

What This Job Offers

• Career Level: Intern