IoT Industry Consulting Intern

About the Role

The Industrials & Internet of Things (IoT) Division at SAS is seeking a Summer 2027 IoT Industry Consulting Intern. This role is focused on supporting customer-facing domain experts who help organizations unlock value from IoT data through advanced analytics, AI, and proof-of-concept projects. The ideal candidate is curious, passionate about solving real-world problems, and eager to innovate.

Key Responsibilities

• Support AI-driven consulting projects by applying analytical techniques to real-world IoT use cases across industries such as manufacturing, energy, and transportation.
• Collaborate with commercial sales and customer teams to understand business challenges and contribute to solution design and proof-of-concept development.
• Engage with R&D and product strategy teams to provide feedback from customer engagements and help shape the future direction of IoT offerings.
• Assist in developing and refining analytical models that leverage streaming data, machine learning, and edge computing to deliver actionable insights.
• Contribute to internal knowledge sharing and innovation efforts, including workshops, demos, and presentations that showcase emerging IoT capabilities.

Requirements & Tech Stack

• Undergraduate student studying Computer Science, Mathematics, Engineering, or related field.
• Must not be graduating prior to December 2027.
• Strong analytical and problem-solving skills.
• Foundational knowledge in data analysis, machine learning, or statistical modeling.
• Excellent communication skills and ability to work collaboratively in cross-functional teams.
• Proficient in Microsoft Office and collaboration tools, including Word, Excel, PowerPoint, and Microsoft Teams.
• Leadership abilities.
• Interest in the future of Analytics and embracing technology.

Preferred Qualifications

• Adaptability and eagerness to learn, with a proactive approach to exploring new technologies, solving unfamiliar problems, and contributing to fast-paced, innovative project environments.
• Experience with programming languages, such as SAS or Python, including familiarity with data visualization or modeling tools.
• Knowledge of cloud platforms, edge computing, and streaming data environments.
• Experience building and deploying LLM-powered applications using Retrieval-Augmented Generation (RAG), vector databases, agentic workflows, and Model Context Protocol (MCP).
• Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes.

Internship Details

• Timeline: May 18, 2027 – August 6, 2027 (12 weeks). Must be available to start in person at Cary HQ on May 18, 2027.
• Location: Cary HQ (hybrid). Must be local and able to come to the office a minimum of 3 days per week.
• Pay: Hourly 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.

Perks of the Job

• Face time with company leaders and executives.
• Hybrid work flexibility.
• Free SAS programming training and certification.
• Support for well-being with on-site Work/Life Center, Recreation and Fitness Center, Employee Assistance Program (EAP), and subsidized cafés.
• Opportunities for hackathons and social events.