Generative AI Data Scientist Intern (Hybrid)

SAS; Cary (NC); Hybrid; USD 40,000 - 68,000; Part time

Benefits offered by this job

Face time with leaders and executives

Hybrid work flexibility

Free SAS training and certification

Well-being programs and resources

Hackathons and social events

Job summary

SAS invites interns to join the Applied AI Modelling (AAIM) team at Cary HQ for a 12-week summer internship. You’ll work on real projects, building Generative AI models and collaborating with data scientists to solve customer challenges.

We’re seeking Master’s or PhD students in CS or EE with Python and AI model experience, strong communication, and leadership, committed to analytics and innovation in a collaborative, inclusive culture.

Qualifications

• You are currently pursuing your Master’s or PhD and enrolled in an accredited program, not graduating before December 2027.
• 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.

Responsibilities

• 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.

Skills

Python

Generative AI

Communication

Leadership

Analytics mindset

Education

Master’s or PhD enrolled in accredited program

Computer Science or Electrical Engineering field

Tools

Docker

Kubernetes

PyTorch

TensorFlow

NVIDIA CUDA

SAS

Job description

SAS invites interns to join the Applied AI Modelling (AAIM) team at Cary HQ for a 12-week summer internship. You’ll work on real projects, building Generative AI models and collaborating with data scientists to solve customer challenges.

We’re seeking Master’s or PhD students in CS or EE with Python and AI model experience, strong communication, and leadership, committed to analytics and innovation in a collaborative, inclusive culture.