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Internship: digital engineering intern, 2026, italy

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Glaxosmithkline
Pubblicato il 1 giugno
Descrizione

Job Title: Internship: Digital Engineering Intern, 2026, ItalyEducation required: Educational background in Engineering with strong IT content (Management/Industrial Engineering, Process Engineering, Computer Engineering or IT technical background / perito informatico) or similar, with strong analytical skills.Other requirements: Interest in data management and process engineering. Good knowledge of PowerBI is strongly preferred. Strong interest in dashboard development, PowerBI power‑ups and data programming. Interest and exposure to Artificial Intelligence. Familiarity with AI prompting concepts and applied AI usage. Curiosity, autonomy and willingness to actively contribute to digital engineering projects.Language requirement: Written and spoken fluency in Italian and English.Expected start date: June 2026. Internship period: 6–12 months. Internship Type: Curricular or Extra‑Curricular. Application deadline: 6th of May.ResponsibilitiesSupport the Digital and Automation team in daily activities within an industrial manufacturing environment.Learn and apply digital manufacturing and Industry 4.0 concepts.Contribute to small digitalisation and data analysis the creation of basic dashboards and reports.Use tools such as PowerBI, internal platforms and low‑code solutions.Assist with data collection, visualization and structured problem‑solving.Attend project meetings to understand project governance and teamwork.What you will learnFundamentals of Digital Engineering in pharmaceutical manufacturing.Basics of industrial automation, digitalisation and MES/SCADA concepts.Principles of EHS, GMP awareness and Data Integrity.Data analysis and visualization techniques.Use of digital tools and company systems.How to plan, execute and present a mini digital project.Professional skills such as teamwork, communication and continuous improvement.QualificationsStrong interest in digital engineering, automation and manufacturing processes.Analytical mindset with interest in data analysis and problem‑solving.Basic knowledge of coding or scripting (Python, SQL, VBA).Curiosity and willingness to learn in a structured environment.Good communication skills in Italian and English.Ability to work collaboratively within a team.Organised approach and attention to detail.What we offer youHands‑on experience in a global biopharma manufacturing site.Structured onboarding, training and continuous feedback.Exposure to real digital and automation projects.Support from experienced professionals and tutors.For questions, please email is an Equal Opportunity Employer.
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