• 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.

Qualifications

• 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).

• Proficient in standard office productivity tools.

• Advance English level.

Core competencies

• Digital mindset with strong data orientation.

• Analytical thinking and structured problem‑solving skills.

• Proactive attitude and willingness to learn in an industrial environment.

• Strong teamwork and communication skills.

• Commitment to Safety, Quality and Continuous Improvement.

Location

• Alicante

• Murcia

Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.