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Closed listing

SAS

Summer 2027 - Data Scientist Intern

Cary HQ, NC, United States

$15 to $30 USD / hour

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: $15 to $30 USD / hour
Closing date: Nov 6, 2027
Posting language: English
Posted: Nov 6, 2026

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Original job description

Archived listing. The details below describe a past opening.

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.

What 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 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.

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

Interviews begin: On a rolling basis
Internship: May 18, 2027 – August 6, 2027 (These dates are not flexible. To be considered for the SAS Summer Internship program, all interns must be available to start in person at Cary HQ on May 18, 2027. Summer internships last 12 weeks.

Perks of the job

Work with (and learn from) the best. As a SAS intern, you’ll get face time with company leaders and executives.
Hybrid work flexibility: Our hybrid approach offers the best of both worlds, combining in-office collaboration with the flexibility to work remotely, aligned with your team’s needs (minimum of 3 days in the office per week).
Free SAS programming training and certification.
Your well-being matters. We support all dimensions of your well-being with programs designed to reduce stress and distractions so you can stay healthy and productive. This includes an on-site Work/Life Center, Recreation and Fitness Center, Employee Assistance Program (EAP), subsidized cafés and more.
We work hard, but we like to have fun, too. Enjoy hackathons, social events and other opportunities to connect and engage.

You are welcome here.

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.

Additional Information

To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.

Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.

Pay transparency: Hourly rates for SAS internships are based on an applicant’s year in school and the role they are hired into. Rates range from $15 to $30 per hour for associate and bachelor’s-level positions and from $29 to $49 per hour for master’s and Ph.D positions. Internship roles are not eligible for bonuses.

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About employer

More about this job

Skills

SAS
LangChain
Workflow
Machine learning
Deep learning
Natural language processing
Computer science
Electrical engineering
Python
Communication skills
Leadership
PyTorch
TensorFlow
Docker
Kubernetes

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