Summer 2027 - Data Scientist Intern

SAS • Cary HQ, NC

2d • Hybrid

About The Position

The Data Scientist Intern will join SAS R&D’s Applied AI Modelling (AAIM) team, which designs, develops, and implements prebuilt models for customers across industries including consumer packaged goods, manufacturing, retail, and insurance. The internship involves developing generative AI solutions and demonstrations for customer business problems, working with large language models (LLMs) and/or visual language models (VLMs), and collaborating with data scientists and other specialists in machine learning, deep learning, natural language processing, and computer vision. The position is hybrid at SAS headquarters in Cary, North Carolina, with a minimum of three days in the office per week. The 12-week internship runs May 18, 2027 through August 6, 2027; the start date is in person and the dates are not flexible. Applicants must be legally authorized to work in the United States without requiring employment visa sponsorship now or in the future.

Requirements

• Currently pursuing a master's or Ph.D. degree in an accredited program and not graduating before December 2027.
• 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 abilities.
• Demonstrated initiative and willingness to go above and beyond.
• Interest in the future of analytics and enthusiasm for technology.
• Must be legally authorized to work in the United States and not require employment visa sponsorship now or in the future.
• Must be available to start in person at SAS headquarters in Cary on May 18, 2027, and work the fixed internship dates through August 6, 2027.

Nice To Haves

• Experience developing and deploying large language models (LLMs).
• 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 using large language models (LLMs) and/or visual language models (VLMs) to address customer challenges.
• Build applications using libraries such as LangChain and LangSmith to leverage 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 demonstrations of generative AI applications to practical problems.
• Optimize the deployment pipeline for generative AI models.
• Work as part of a multidisciplinary team with expertise in machine learning, deep learning, natural language processing, and computer vision.

Benefits

• Free SAS programming training and certification.
• Well-being programs, including an on-site Work/Life Center, Recreation and Fitness Center, Employee Assistance Program, and subsidized cafés.
• Opportunities to attend hackathons, social events, and other activities.
• Access to company leaders and executives for learning and networking.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern