AI & Data Analytics Intern (Supply Resilience)

Join our team as an AI & Data Analytics Intern in Supply Resilience. In this role, you will develop an intelligent, predictive supply chain risk assessment tool using internal and external data. You will design and validate machine learning models, create actionable dashboards, and communicate insights to stakeholders. This internship offers flexible work models, paid time off, health care benefits, and learning and development opportunities.

If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team

Responsibilities

• Identifying, aggregating, and ingesting internal supply chain metrics alongside external market data.
• Designing, training, and validating predictive algorithms to flag potential supply bottlenecks and vendor risks.
• Building a functional prototype/dashboard or integrating model outputs into an actionable tool for supply chain planners.
• Desired: Understanding of logistics, lead times, procurement dynamics, and risk factors

Requirements

• Python or R, Scikit-learn, TensorFlow or PyTorch, Pandas, NumPy
• Power BI, or Tableau for user interface creation
• Analytical problem-solving, independent initiative, ability to translate complex data into business insights
• Graduation date not later then Dec.2029
• Currently pursuing a Bachelor’s degree in Supply Chain Management, Logistics, Business Analytics, Operations, or a related field