AI Supplier Risk Analytics Intern
About The Position
EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products. Job PurposeEnerSys®, a NYSE-listed company, is seeking a highly motivated AI Supplier Risk Analytics Intern to support the development of an AI-based Risk Scoring System. This internship offers hands-on experience applying data analytics and machine learning techniques to real-world supplier quality and supply chain risk challenges. This paid 10-12-week internship offers hands-on experience in Hands-on experience developing an AI-driven business solution. The intern will collaborate with Supplier Quality, Supply Chain, and Data teams to analyze supplier performance data, develop predictive risk indicators, and help deliver actionable insights that support supplier management and sourcing decisions.
Requirements
- Currently pursuing a bachelor’s or master’s degree in one of the following fields or related disciplines: Data Science, Computer Science, Industrial or Systems Engineering, Supply Chain Management, Statistics, Mathematics, or Analytics
- Experience with or coursework in data analysis and basic machine learning concepts.
- Exposure to data visualization tools (Power BI, Tableau, Python visualization libraries, or similar).
- Strong analytical, problem-solving, and organizational skills.
- Ability to communicate findings clearly to both technical and non-technical audiences
Responsibilities
- Develop and implement the automated Supplier approval process using Smartsheet.
- Collect, clean, and analyze supplier data related to quality, delivery, audits, corrective actions, and performance trends.
- Analyze historical supplier performance data to identify leading risk indicators
- Collaborate with cross-functional stakeholders to translate business risk requirements into analytical solutions.
- Assist in the development and testing of AI/ML models used to assess and score supplier risk
Benefits
- Hands-on experience developing an AI-driven business solution.
- Practical exposure to supplier quality and supply chain risk management.
- Experience collaborating with technical and business stakeholders.
- Portfolio-ready project demonstrating applied AI in an enterprise setting
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
