Data-Driven Process Stability Intern (Veghel)

FrieslandCampina; Veghel; Sur place; EUR 5 700 - 7 700; Plein temps

Avantages offerts par ce poste

Stipend €600 gross/mo

1 vacation day per month

Access to intern community

Résumé du poste

FrieslandCampina in Veghel offers an impactful internship in our pre-processing plant, where you will analyse alarm and process data to identify the biggest disruptors to stable operation. You will work hands-on with operators and specialists to investigate root causes and implement improvements.

You will measure impact with data, deliver a report with results and recommendations, and have the chance to contribute to production performance.

Qualifications

• HBO or MSc student in Process Technology, Chemical Engineering, Food Technology, Industrial Engineering or related field.
• Interest in production processes, data analysis and problem solving.
• Experience with Excel, Python, Power BI or similar tools is a plus.
• Hands-on, independent and communicative.
• Comfortable working in a production environment.
• Proficient in Dutch or English.

Responsabilités

• Learn about the pre-processing lines and daily operations.
• Analyse alarm and process data to identify the main disruptors.
• Prioritise improvement opportunities based on impact.
• Investigate root causes together with operators and specialists.
• Implement improvements, such as process adjustments, alarm settings or operating procedures.
• Measure and evaluate the impact of improvements using data.
• Deliver a clear report with results and recommendations.

Connaissances

Data analysis

Excel

Python

Power BI

Dutch/English

Hands-on

Communication

Formation

HBO or MSc student in Process Technology / Chemical Engineering / Food Technology / Industrial Engineering

Outils

Excel

Python

Power BI

Description du poste

FrieslandCampina in Veghel offers an impactful internship in our pre-processing plant, where you will analyse alarm and process data to identify the biggest disruptors to stable operation. You will work hands-on with operators and specialists to investigate root causes and implement improvements.

You will measure impact with data, deliver a report with results and recommendations, and have the chance to contribute to production performance.