Supply Chain AI Enablement Intern
About The Position
The Supply Chain AI Enablement Intern will support the design, development, and adoption of AI-driven solutions across supply chain operations. This role bridges supply chain domain knowledge with data, analytics, and emerging AI tools to improve processes across various supply chain disciplines, including Procurement, supplier risk, materials management, logistics, and decision-making. The intern will work closely with supply chain leaders, data scientists, and IT partners to help translate operational needs into scalable AI-enabled solutions. In this role, the successful candidate will gain hands-on experience applying AI to real-world supply chain challenges, exposure to enterprise-scale data, systems, and transformation initiatives, mentorship from supply chain, analytics, and technology professionals, and development of highly marketable skills at the intersection of operations and AI.
Requirements
- Currently pursuing a Bachelor’s or Master’s degree in Supply Chain Management, Industrial Engineering, Operations Research, Data Science, Information Systems, or a related field at an accredited University.
- Students must be continuing their education towards their degree during and/or after the internship.
Nice To Haves
- Strong interest in AI, machine learning, and digital transformation within supply chain operations.
- Basic knowledge of supply chain concepts (planning, logistics, procurement, inventory).
- Analytical mindset with the ability to work with data.
- Experience with data analysis tools such as Python, SQL, R, Excel, or Power BI/Tableau.
- Familiarity with machine learning concepts or AI platforms (e.g., forecasting models, NLP, optimization).
- Experience working on academic or personal projects involving analytics or automation.
- 3.0 GPA or greater in both cumulative GPA and major GPA.
- Ability to work in a team environment and support fellow team members.
- Strong problem solving and analytical skills.
- Strong communication skills, both oral and written.
- Takes initiative and can work independently with minimal direction.
- Ability to translate business problems into analytical or technical requirements.
- Curiosity, adaptability, and willingness to learn new tools and technologies.
Responsibilities
- Support the identification and prioritization of supply chain use cases for AI and advanced analytics.
- Assist in preparing, cleaning, and analyzing supply chain data from ERP and planning systems.
- Collaborate with data science and engineering teams to test and validate AI/ML models and dashboards.
- Document business requirements, workflows, and AI solution impacts for stakeholders.
- Help pilot and support deployment of AI-enabled tools, including user training materials and change enablement.
- Track performance metrics and assist in evaluating business value and adoption of AI solutions.
- Research emerging AI technologies and best practices relevant to supply chain transformation.
Benefits
- Hands-on experience applying AI to real-world supply chain challenges
- Exposure to enterprise-scale data, systems, and transformation initiatives
- Mentorship from supply chain, analytics, and technology professionals
- Development of highly marketable skills at the intersection of operations and AI
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What This Job Offers
Career Level
Intern
