Energy Engineer leading onboarding projects for AI - driven energy management at etalytics. Configuring and optimizing customer - specific energy systems using our etaONE® platform.
About the role
- AI Supplier Risk Analytics Intern at EnerSys developing AI-driven business solutions. Hands-on experience with data analytics and machine learning techniques in supply chain risk management.
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.
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.
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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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