Summer 2026 - Network Analytics Intern (Master's/PhD)

 

Nice to meet you!  

We’re the 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.  

 

The Network Analytics team develops and tests advanced algorithms and software tools that enable users to model, visualize, and solve complex network optimization and analysis problems. Our work bridges graph theory, optimization, and machine learning to deliver high-performance analytics for numerous applications.  

 

As an intern, you might:  

 

• Develop and validate new graph algorithms and visualization features within the SAS Viya network analytics framework. 

• Design automated tests in Python or SAS to ensure algorithmic accuracy, performance, and numerical stability. 

• Contribute to improving product documentation and reproducible analytical examples. 

• Collaborate with other developers and testers to investigate defects, verify fixes, and improve CI/CD workflows. 

• Explore innovative applications of network analytics in domains such as health and life science, quantum computing, and agentic AI. 

  

Required qualifications

• You’re a college student enrolled in an accredited Master's or PhD program, not graduating prior to December 2026.  
• Currently pursuing a degree studying Computer Science, Operations Research, or related quantitative field.
• You have programing experience in one or more of the following languages: C/C++, Python, or SAS. 
• 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 values and influence everything we do.

  

Preferred qualifications

 

• Experience with software testing frameworks such as PyTest or Catch2. 

• Familiarity with graph analytics libraries like NetworkX, PyTorch Geometric, or similar tools. 

• Experience using a modern version control system (e.g., Git/GitHub). 

• Experience working with SAS software and analytics workflows. 

• Understanding of entity resolution concepts and their applications in data integration and network analysis. 

  

Timeline 

• Applications open: October 30, 2025
• Applications close: This application will close early to mid-November 2025
• Interviews begin:  November 2025
• Internship: May 19, 2026 – August 7, 2026.

  

Perks of the job 

• Work with (and learn from) the best. As a SAS intern, you’ll get face time with our top executives! 
• Free SAS programming training and certification.   
• At SAS, flexible work is the norm. Want to work remotely? That’s cool. Prefer a hybrid mix of sweatpants and in-person collaboration? That’s great, too.  
• We work hard, but we like to play hard, too. Enjoy hackathons, social events and other opportunities to connect + engage.  
• Your well-being matters, and that’s why we support all dimensions of your well-being by offering programs that reduce stress and distractions to help you stay healthy and productive.  This includes an on-site and remote Work/Life Center staffed by master’s level social workers and an Employee Assistance Program.

 

Diverse and inclusive    

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talent