CMMS & Maintenance Analytics Intern

Corteva Agriscience; Alicante; Presencial; EUR 6700 - 10.000; Jornada completa

Descripción de la vacante

Corteva Agriscience is seeking an Engineering & Maintenance Intern to support digitalization and structuring of preventive maintenance within a CMMS. You will help build asset hierarchies, maintenance plans and data-driven processes to enable efficient operations.

The role offers hands-on experience at the intersection of engineering, maintenance, data analytics and digital transformation, with strong emphasis on safety, quality and continuous improvement within a global agriscience context.

Formación

• Enrolled in a Bachelor’s or Master’s degree in Engineering.
• Can sign an internship agreement with a university.
• Interest in AI, data analytics or automation for industrial use.
• Knowledge of data analysis tools (Excel, Power BI, Python) and AI basics.
• Proficient with standard office tools.
• Advanced English level.

Responsabilidades

• 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.
• Support the development of maintenance KPIs and basic dashboards.
• Participate in data analytics initiatives including predictive analysis and automation of admin tasks.
• Contribute to creation and update of technical documentation and standards.
• Collaborate with Maintenance, Engineering, EHS and technology providers.

Conocimientos

Analytical thinking

Structured problem solving

Teamwork

Communication skills

English proficiency

Educación

Bachelor's or Master's in Engineering

Herramientas

Excel

Power BI

Python

Descripción del empleo

Corteva Agriscience is seeking an Engineering & Maintenance Intern to support digitalization and structuring of preventive maintenance within a CMMS. You will help build asset hierarchies, maintenance plans and data-driven processes to enable efficient operations.

The role offers hands-on experience at the intersection of engineering, maintenance, data analytics and digital transformation, with strong emphasis on safety, quality and continuous improvement within a global agriscience context.