Internship Material Process Technologist

Pirelli & C. S.p.A.; Milano; On-site; EUR 12,000 - 18,000; Part time

Job summary

Pirelli & C. S.p.A. Milano seeks an Internship Material Process Technologist to join the Material virtualization group in the R&D Materials and Innovation area.

You will translate laboratory, formulation, and manufacturing data into insights to accelerate material development and support data-driven decisions across Materials R&D. The role emphasizes collaboration with materials scientists, process engineers, data scientists, and software developers, focusing on data collection, descriptor

Qualifications

• Master's degree in STEM area.
• Familiarity with data visualization, exploratory data analysis, and statistical methods applied to scientific or engineering datasets.
• Programming skills in Python and knowledge of SQL and database querying.
• Strong problem-solving, scientific reasoning, and analytical thinking skills.
• Fluency in English.

Responsibilities

• Translate laboratory, formulation, characterization, and manufacturing data into meaningful insights.
• Collaborate with materials scientists, process engineers, data scientists, and digital development teams to accelerate material development.
• Define technically meaningful descriptors, test parameters, data hierarchies, and metadata for polymers, elastomers, fillers, additives, rubber compounds, and related material systems.
• Identify, query, and integrate data from multiple databases and digital sources to support R&D projects.
• Develop scripts, dashboards, and analytical tools to compare formulations and results, and to support experimental planning.
• Collaborate with data scientists and software developers to industrialize analytical workflows and deploy data-driven solutions.

Skills

Python programming

SQL

Data visualization

Exploratory data analysis

Statistical methods

English fluency

Education

Master's degree in STEM

Tools

Pandas

NumPy

Scikit-learn

Plotly

Qlik Sense

Git

Job description

Internship Material Process Technologist Profile

Job Description

Material process data technologist - Internship

DRIVE YOUR FUTURE

You will join the Material virtualization group in the R&D Materials and Innovation area.

Material process data technologist, in strong collaboration with materials scientists, compounders, process engineers, data scientists, and digital development teams will translate laboratory, formulation, characterization, and manufacturing data into meaningful insights. The role will help accelerate material development, deepen structure-property-process understanding, and support data-driven decisions across Materials R&D.

WHAT YOU WILL LEARN

• Collect, organize, and analyze data from laboratory activities, material characterization, and manufacturing processes.
• Work with materials experts to define technically meaningful descriptors, test parameters, data hierarchies, and metadata for polymers, elastomers, fillers, additives, rubber compounds, and related material systems.
• Identify, query, and integrate data from multiple databases and digital sources to support R&D projects.
• Evaluate data quality, consistency, and reliability, collaborating with stakeholders to improve data governance and usability.
• Apply statistical methods, data analytics techniques to identify trends, relationships, and opportunities for process and material optimization.
• Develop scripts, dashboards, and analytical tools that enable materials researchers and engineers to compare formulations, explore characterization results, identify trends, and support experimental planning.
• Collaborate with data scientists and software developers to industrialize analytical workflows and deploy data-driven solutions.
• Support the definition of data models and data collection strategies for industrial digitalization initiatives.
• Contribute to the documentation of methodologies, analytical workflows, and best practices.
• Promote a materials-informed, data-driven culture within the Materials R&D organization.

WHAT WE ARE LOOKING FOR

• Master's degree in STEM area.
• Familiarity with data visualization, exploratory data analysis, and statistical methods applied to scientific or engineering datasets.
• Programming skills in Python and knowledge of SQL and database querying.
• Strong problem-solving, scientific reasoning, and analytical thinking skills.
• Fluency in English.

PREFERRED QUALIFICATIONS

• Understanding of materials science, polymers, elastomers, rubber compounds, or manufacturing processes.
• Design of experiments and cheminformatics.
• Familiarity with scientific Python ecosystem (e.g., Pandas, NumPy, Scikit-learn, Plotly).
• Knowledge of data visualization platforms such as Qlik Sense.
• Basic understanding of software development practices (Git, APIs, version control).
• Exposure to web technologies or frontend development.

Information at a Glance

Job Alerts

Posting Start Date: 20/10/2026

Country: Italy

Location: Milano

Function: Research & Development

Experience: no experience