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Titolo:  Internship - Process Intelligence - JUNIOR

Codice ID della posizione:  18461
Paese:  Milano
Funzione:  Ricerca e Sviluppo
Tipo di Contratto:  Stage
Anni di esperienza:  senza esperienza
Descrizione: 

Internship - Process Intelligence - JUNIOR

 

Company Profile
Established in 1872, Pirelli is among the world’s leading tyre producers. It is the only pure consumer tyre company that includes car, motorbike, and bicycle tyres as well as associated services.
Pirelli has a distinct positioning in high value tyres, characterised by an advanced technology with more than 2,700 homologations obtained, thanks to partnerships with the most prestigious car manufacturers in the world. In order to achieve the highest levels of performance, safety and containment of environmental impact, Pirelli has always been strongly committed to research and development, in which it invested 6.1% of revenue from high-value products in 2019.
Involved in motorsport since 1907, Pirelli has been the exclusive official tyre partner of the Formula 1™ World Championship since 2011 and has just renewed the agreement until 2023.

 

MAIN RESPONSABILITIES
•    Support in the identification of needs and opportunities for applying automation technologies to manufacturing processes in the factories in alignment with Product and Quality requirements
•    Interpret data, analyze result, discover trends, using statistical techniques and provide ongoing reports using analytics tools
•    Execute the smart manufacturing activities checking the correct implementation of all digital initiatives
•    Address new data source requests, analyze the available data, support Engineering and ICT in data structure improvements
•    Assure to the business the availability and the development of the data driven culture in order to enable innovation and automation technologies to industrial processes

 

PROFILE:
•    Master degree in Industrial Engineering / Mechanical Engineering (major in Production Systems) / Management Engineering (major in Industrial Production) / Computer Engineering 
•    Experience with data extraction and analysis 
•    Software development expertise (Python, Angular, SQL, etc.)
•    Knowledge of statistics and analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information
•    Strong analytical and problem-solving skills
•    Fluent in English 

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