Summer 2027 - Data Scientist Intern

SAS • Cary HQ, NC

2d • Hybrid

About The Position

The Applied AI Modelling (AAIM) team within SAS R&D designs, develops, and implements prebuilt models for SAS customers across industries including consumer packaged goods, manufacturing, retail, and insurance. The intern will contribute to customer-focused Generative AI work, collaborating with data scientists and a team of experts in areas such as machine learning, deep learning, natural language processing, and computer vision. The internship is in Cary, North Carolina, with a hybrid arrangement requiring at least three days in the office each week. It runs for 12 weeks, from May 18, 2027, through August 6, 2027; interns must be available to begin in person at Cary HQ on May 18, and the dates are not flexible.

Requirements

• Currently pursuing a Master's or PhD 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 abilities.
• Demonstrated initiative and willingness to go above and beyond.
• Interest in the future of analytics and an enthusiasm for technology.
• Must be legally authorized to work in the United States and must not require employment visa sponsorship now or in the future.
• Must be available to start in person at Cary HQ on May 18, 2027, and work the stated 12-week internship dates.

Nice To Haves

• Experience developing and deploying LLMs.
• Experience with PyTorch, TensorFlow, NVIDIA CUDA, or SAS.
• Experience with practical LLM implementations and advanced analytics projects.
• Experience with bash scripting, Docker, and Kubernetes.

Responsibilities

• Build Generative AI models to address SAS customer challenges using large language models (LLMs) and/or visual language models (VLMs).
• Use libraries such as LangChain and LangSmith to build applications that 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 demos showing practical applications of Generative AI.
• Optimize deployment pipelines for Generative AI models.
• Contribute as part of a multidisciplinary team spanning 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.
• Hackathons, social events, and other opportunities to connect and engage.
• Hybrid work flexibility, with a minimum of three days in the office per week.

What This Job Offers

• Career Level: Intern