About the role#
The Applied AI Modelling team at SAS builds prebuilt models for customers across industries like retail, manufacturing, and insurance. As a Data Scientist Intern, you will join a team of experts in machine learning, deep learning, natural language processing, and computer vision. You will contribute to real projects while working alongside company leaders.
What you'll do#
- Build generative AI models using large language models and visual language models.
- Create applications using libraries such as LangChain and LangSmith.
- Assist the team with prompt engineering and Retrieval-Augmented Generation workflows.
- Research and build demos to show how generative AI solves practical problems.
- Optimize deployment pipelines for generative AI models.
What you'll need#
- Currently pursuing a master's or PhD in Computer Science, Electrical Engineering, or a related field.
- Must not be graduating before December 2027.
- Experience with Python and generative AI foundation models like GPT or Claude.
- Strong written and verbal communication skills.
- Demonstrated leadership abilities and initiative.
- Preferred: Experience with PyTorch, TensorFlow, Nvidia CUDA, or SAS.
- Preferred: Experience with bash scripting, Docker, and Kubernetes.
- Preferred: Practical experience with LLMs and advanced analytics projects.
Location & details#
- Location: Cary, North Carolina.
- Term: Summer 2027 (May 18 to August 6).
- Modality: Hybrid, with a minimum of 3 days per week in the office.
- Employment: Full-time paid internship.
- Note: Applicants must be legally authorized to work in the United States without sponsorship.
About SAS
SAS is a software development company based in Cary, North Carolina. Founded in 1976, the firm creates analytics, data mining, and artificial intelligence software for various organizations. It operates as a privately held business with over 10,000 employees. The company focuses on tools for business analytics, statistics, and enterprise risk management.
How to get in at SAS
Applying to SAS early gives you a distinct advantage because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in before the volume peaks is often the difference between being seen and being missed. You can use Intern Insider to identify the recruiters behind these roles and reach out to them directly for a referral or to ask specific questions about the position. This approach materially improves your response rates compared to submitting through a general portal. Connecting with a human is a better use of your time than waiting for an automated system to process your application.
