Cover image - Pirelli
Stage Post laurea

Internship – Material Data Process Technologist

Milano • Ricerca e Sviluppo
L'opportunità che stavi cercando è scaduta
Descrizione

During the internship period, the Process Data Scientist will collaborate with the rest of the Mixing group in the development and validation of analysis and prediction models related to the process and to the final properties of the compound. In particular, it will use data from factory processes, applying advanced machine learning techniques to verify and improve algorithms aimed at representing anomalies. It will also contribute to the development of R&D applications for the detailed analysis of the mixing process.


• Identify the databases from which to extract the information relevant to the development of machine learning models
• Explore new connections in existing data using unsupervised learning techniques
• Optimize supervised machine learning algorithms for the prediction of final properties (anomaly removal, feature engineering)
• Develop best practices for data analysis and processing with reporting production
• Deploy tools in a production environment (machine learning models, control dashboards, reporting)

Requisiti

• Completed or nearing degree course in Computer Science / Computer Engineering / Data Science / Statistics
Skills:
• Ease of interpersonal relationship
• Ability to work in a team
• Ability to focus on defined priorities
• Synthesis and communication skills