Data Scientist Intern

SAS; Cary (NC); Hybride; USD 40 000 - 68 000; Temps partiel

Avantages offerts par ce poste

Face time with leaders and executives

Hybrid work flexibility

Free SAS training and certification

Well-being programs and resources

Hackathons and social events

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python

Generative AI

Communication

Leadership

Analytics mindset

Formation

Master’s or PhD enrolled in accredited program

Computer Science or Electrical Engineering field

Outils

Docker

Kubernetes

PyTorch

TensorFlow

NVIDIA CUDA

SAS

Description du poste

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.

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.