




Job Summary: We are seeking a Data Production Intern to develop digital applications and AI, analyzing data and processes to optimize efficiency and reduce costs. Key Highlights: 1. Digital Application and AI Development for Operations 2. Data Analysis, Continuous Improvement, and Cost Reduction 3. Identification of Improvement Opportunities and Process Digitalization We are AkzoNobel. You probably know us. We are present in homes, buildings, ships, cars—i.e., on all surfaces where there is an opportunity to add more color, life, and protection—in over 150 countries using our paints and coatings. To keep painting a better future, we need you! We are currently seeking a Data Production Intern for our plant in Garín, Argentina, working with our Alba brand. Alba, present in the market since 1925, is a leading decorative paint brand in Argentina. Your mission as a university intern will be Digital Application and AI Development for Operations. The project will combine data analysis (SAP / Excel / Power BI), on-site plant work (Gemba), and a continuous improvement focus, directly contributing to cost reduction and strengthening operational profitability. The intern will work on: The intern will identify improvement opportunities, digitize manual processes, and develop practical solutions (dashboards, operational apps, automated reporting, predictive analytics, etc.) to enhance efficiency, traceability, data-driven decision-making, and cost reduction. The project will integrate field process analysis (Gemba), digital solution design, and operational impact validation, aligned with the site’s Industrial Excellence and digital transformation objectives. Requirements: - Students pursuing degrees such as Systems Engineering, Computer Science, or with programming experience. - Students who have completed at least 50% of their degree program and have at least one year remaining before graduation. - Residency in Garín or nearby areas. - Availability to undertake part-time internships from Monday to Friday, 8:30 am to 12:30 pm (4 hours), onsite. If you meet the above requirements, we invite you to apply! . - Requirements - Minimum Education: University Degree Years of Experience Age: Between 18 and 50 years Knowledge: Project Management, Change Management, Analysis, Data Analysis, Digital Competencies, Artificial Intelligence, Manufacturing, Microsoft Excel, Data Storage
