Internship Data Analytics - Settimo TorineseDISCOVER PIRELLIWe are a global leader in the tyre industry, specialized in designing, developing, manufacturing, and marketing high-performance tires for cars, motorcycles, and bicycles. With a presence in over 160 countries and around 18 production facilities, we pride ourselves on our cutting-edge technology and commitment to sustainability. Innovation is at the heart of everything we do, and it is fueled by our commitment to the inclusion of unique perspectives and different experiences. Because power is nothing without our people!WHY JOIN USWe are offering a rewarding role with scope for career progression along with:
International, engaging, and supportive working environment.Competitive reimbursement.Free company restaurant.Personal and professional development.
DRIVE YOUR FUTUREJoin the R&D team and immerse yourself in a dynamic environment. From day one, you will gain hands-on experience and grow your skills in the Data Analytics Team.WHAT YOU WILL LEARNYou will collaborate with your tutor in:
Collecting, analyzing, and interpreting process data within a prototype production workflow.Developing effective algorithms for process improvement and anomaly detection models.Creating and maintaining applications for data visualization and process automation.Integrating and cleaning data from heterogeneous systems (ETL pipelines), ensuring accessibility for analysis and business processes.Working in a dynamic, manufacturing-focused environment with a strong hands-on approach.Enhancing your expertise in data analytics with a proactive approach.
WHAT WE ARE LOOKING FOR
Master's degree in Computer Science, Computer Engineering, Data Science, or related fields.Proficiency in Italian and English.Knowledge of Python (pandas, numpy, matplotlib/plotly or similar), SQL.Basic knowledge of C#, Git, Java or similar, and database management.
APPLY NOW, DRIVE YOUR FUTURE! #WePirelliInformation at a Glance
Posting Start Date: 15/01/2025Country: ItalyLocation: Settimo TorineseFunction: R&DExperience: no experience
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