AI Supplier Risk Analytics Intern

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 Purpose EnerSys(R), 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. Essential Duties and 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 Qualifications
• 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 Benefits of the internship
• 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 General Job Requirements style="margin-top:0.0;margin-bottom:0.0
• -This position will work in an office setting, expect minimal physical demands.

EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Know Your Rights Know Your Rights (Spanish) We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.