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We are looking for an Engineering & Maintenance Intern to support the digitalization and structuring of our maintenance activities. This internship offers a unique opportunity to contribute to the creation of a solid CMMS (Computerized Maintenance Management System) foundation, enabling consistent data generation while supporting the transition towards more data‑driven and efficient maintenance practices. The intern will play a key role in building asset structures, preventive maintenance plans and usage discipline within the CMMS, allowing the core team to remain focused on operational and compliance‑critical activities. This is a low‑risk, high‑impact opportunity to gain hands‑on experience at the intersection of engineering, maintenance, digitalization and data analytics, fully aligned with Corteva’s operational excellence and digital transformation objectives.
Job Responsibility:
Support the digitalization and structuring of the preventive maintenance plan, including asset hierarchy, task lists and maintenance frequencies
Assist with data cleansing, standardization and configuration within the GMAO, covering equipment, locations, work orders and spare parts
Support the development of maintenance KPIs and basic dashboards for performance monitoring and reporting
Participate in initiatives applying data analytics and Artificial Intelligence to maintenance activities, such as predictive analysis, incident classification and automation of administrative tasks
Contribute to the creation and update of technical documentation, digital procedures and standards
Collaborate with Maintenance, Engineering, EHS and technology providers, promoting safe, reliable and efficient operations
Requirements:
Currently enrolled in a Bachelor’s or Master’s degree in Engineering (Industrial, Mechanical, Electrical, Electronics, Mechatronics, Chemical or similar)
Ability to enter into an internship agreement with a university or educational institution
Interest and foundational knowledge in Artificial Intelligence, data analytics or automation applied to industrial use cases
Basic knowledge of: Data analysis tools (advanced Excel, Power BI, Python or similar). Fundamental AI / Machine Learning concepts (predictive models, trend analysis, classification)