DISCOVER PIRELLI

We are a global leader in the tire 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 US

We 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 FUTURE 
You will join the Process Intelligence group in the R&D Materials and Innovation area.
Material process data technologist, in strong collaboration with the other groups, is responsible for analysis and correlations between material - process parameters and final product. In details, she/he will use data coming from factories manufacturing processes, applying data mining techniques, statistics and regression models ensuring continuous improvements in material processes and supporting innovation.

WHAT YOU WILL LEARN 
You will collaborate with your tutor in: 
•    Individuate, query and join database from which fetch meaningful and unforeseen correlations for process data analysis.
•    Implement data cleaning and transformation techniques to ensure accurate and consistent data for analysis.
•    Leverage advanced statistical techniques to uncover hidden insights and drive decisions.
•    Contribute to the development of automated dashboards and tools to enhance process monitoring and predictive capabilities.
•    Develop and share best practices for data analysis/mining with documentation and activity reports.
•    Communicate analysis results and insights through visualizations and presentations to technical and non-technical stakeholders.

WHAT WE ARE LOOKING FOR 
•    MSc Student in Engineering subjects (Data Science, Computer Science or similar degree)
•    Proficiency in organizing, structuring, and joining datasets from various sources.
•    Base knowledge of data analytics and data science techniques: statistics, regression, visualization, multivariate analysis. 
•    Knowledge of main tools for data analysis: SQL, Python, Plotly, Qlik, git.
•    Basic knowledge of cloud storage services for data exploration.
•    Experience on data science problems (e.g. personal projects on githubs, kaggle and/or academic project works).
•    Effective communication skills (clear and comprehensible technical results presentation).

APPLY NOW, DRIVE YOUR FUTURE!

#WePirelli