Summer 2027 - Data Scientist Intern at SAS, Cary HQ, NC
Summer 2027 - Data Scientist Intern at SAS in Cary HQ, NC. Internship. Est. up to $200k. Apply with swipeandhired.
Job Category
Intern
Hiring Manager
Varunraj Valsaraj
Employee Referral Bonus
Not Offered
Recruiter
Lindsay Whitfield
Position Type
Intern
Nice to meet you!
We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers.
If you’re looking for a dynamic, fulfilling career with flexibility and a world -class employee experience, you’ll find it here. We’re recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.
W hat you’ll do
Looking for *that* internship? The game-changing one that’ll help you learn, grow, and chart your path forward? You’ll find it at SAS. Our interns aren’t coffee runners – they do real, meaningful work. Our award-winning internship program is focused on development, culture, and community. We’ll help you grow professionally, find (or further) your passion, and make memorable connections that last beyond the summer.
Applied AI Modelling (AAIM) team, within SAS R&D leads the design, development, and implementation of prebuilt models for SAS customers across many industries such as CPG, manufacturing, retail, insurance, among others.
As an intern, you might:
- Build Generative AI models to solve the challenges of SAS customers using large language models (LLMs) and/or visual language models (VLMs).
- Use libraries like LangChain, LangSmith etc. to build applications leveraging LLMs and VLMs.
- Collaborate with data scientists and assist in prompt engineering, Retrieval-Augmented Generation (RAG) workflow to solve the business problems of SAS customers.
- Researching and developing high-quality demos to illustrate the application of Generative AI in solving practical problems.
- Optimize the deployment pipeline for Generative AI models.
- Part of a team of experts with different specialized skill sets including machine learning, deep learning, natural language processing, computer vision etc.
Required qualifications
- You are currently pursuing your Master's or PhD and enrolled in an accredited program, not graduating before December 202 7 .
- Currently studying Computer Science, Electrical Engineering, or closely related field.
- Experience with Python, Generative AI foundation models like GPT or Claude models.
- Strong communication skills – both written and verbal.
- Leadership abilities. Your past experiences demonstrate you’ll take initiative and go above and beyond the call of duty.
- You’re interested in the future of analytics and embrace technology.
- You’re curious, passionate, authentic, and accountable. These are our Our SAS Values and influence everything we do.
Preferred qualifications
- Experience developing and deploying Large Language models (LLMs), PyTorch, Tensor Flow, Nvidia CUDA or SAS.
- Experience with practical implementations of LLMs and advanced analytics projects
- Experience with bash scripting, Docker and Kubernetes.
Location
- Cary, HQ Hybrid (minimum of 3 days in the office per week)
Timeline
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