GSK

biopharma

Internship:DigitalEngineeringIntern,2026,Italy

Rome, Italy FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Internship: Digital Engineering Intern, 2026, Italy at GSK. Skills: Digital Engineering, Data analysis, Process engineering, Artificial Intelligence. Support the Digital and Automation team in daily activities within an industrial manufacturing environment. Learn and apply digital manufacturing and Industry 4. 0 concepts”

Industry & Context.

biopharma
Problems you'll solve

strong analytical skills; Analytical mindset with interest in data analysis and problem-solving; structured problem-solving

What They're Looking For.

Must Have

Educational background in Engineering with IT content (e. g. Management/Industrial Engineering, Process Engineering, Computer Engineering or IT technical background / perito informatico) or similar, strong analytical skills, Interest in data management, Interest in process engineering, interest in dashboard development, interest in Power BI power‑ups, interest in data programming, Interest and exposure to Artificial Intelligence, Familiarity with AI prompting concepts, Familiarity with applied AI usage, Curiosity, autonomy, willingness to actively contribute to digital engineering projects, Basic knowledge of coding or scripting (e. g. Python, SQL, VBA), Curiosity and willingness to learn in a structured environment, Ability to work collaboratively within a team, Organised approach, attention to detail

Nice to Have

Good knowledge of Power BI

What You'll Do.

Support 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 initiatives

Support the creation of basic dashboards and reports

Use tools such as Power BI

internal platforms and low‑code solutions

Assist with data collection

visualization and structured problem-solving

Attend project meetings to understand project governance and teamwork

How You'll Work.

Team & Collaboration

Ability to work collaboratively within a team; Attend project meetings to understand project governance and teamwork

Communication Scope

Good communication skills in Italian and English

Process & Methodology

How to plan, execute and present a mini digital project

Full Job Description

**Job Title: Internship: Digital Engineering Intern, 2026, Italy** **Education required:** Educational background in **Engineering with strong IT content** (e.g. 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 Power BI** is strongly preferred * Strong interest in **dashboard development** , Power BI 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** **Application deadline:** 6th of May. We recommend you apply as soon as possible. We will close this vacancy once we receive sufficient applications. **Internship Type:** Curricular or Extra‑Curricular ### Are you looking to gain valuable work experience and help positively impact the health of billions of people? Apply for a GSK Internship today! A GSK internship offers you the opportunity to kickstart your career by taking on a real role with genuine impact. You’ll work on live projects, develop valuable technical and professional skills, and gain practical experience in a global biopharma environment. ## ## What will you do? * Support 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 initiatives * Support the creation of basic dashboards and reports * Use tools such as Power BI, internal platforms and low‑code solutions * Assist with data collection, visualization and structured problem‑

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