Smart Manufacturing Intern: Data, Automation & Analytics

Help us get ahead of disease together with our Smart Manufacturing Internship, 2027:

Education required: Bachelor’s Degree from an accredited college/university, preferably from Chemical Engineering, Data Science & Analytics or relevant Engineering courses.

Other requirements: Must be enrolled at a SG university for the duration of your internship and doing a full-time credit‑bearing internship.

Language requirement: Written and spoken fluency in English.

Internship period: January to June 2027.

Final date to receive applications: As applications will be reviewed on a rolling basis, we recommend applying as soon as possible. This vacancy will be closed once we have enough applications for consideration.

Automation and digital solutions are deployed by first intent to optimize, transform or reinvent the ways of working, and allow the pharmaceutical manufacturing site to deliver new modalities and medicines to patients across the world in a reliable, effective, and sustainable manner. This will include developing a culture of right‑first time and zero defects across the value chain, optimizing production, factory data integration, proactive scheduling, and data‑centric operations.

Operational excellence principles are applied to a process prior to introduction of digitalisation and automation to ensure optimal delivery of business value.

In this internship, you will support the engineers, chemists and data scientists working on deploying smart manufacturing projects such as advanced manufacturing data intelligence and execution systems on site. You will help with the collection, extraction, analysis, validation and visualisation of business and process data (e.g. distributed control system recipe), and establish requirements for process workflow improvements.

You will also apply operation excellence thinking and support business change processes prior to deployment of new technologies and platforms. You will also utilise low‑code programming to develop connected worker applications, data visualisation and robotic process automation or generative AI.

You will use solutions such as MS Power Platform, BI or other dashboarding tools to develop new dashboards and visualisation of business and process data.

• Learn about Pharmaceutical Primary Manufacturing and the use of automation, digitalisation and data analytics to deliver business value.
• Acquire knowledge on the cross‑functional interconnectivity across operational, engineering, MSAT and quality functions to deliver the new technology solutions.
• Immerse yourself in business analysis, site activities and change management.
• Apply your knowledge of analytics, critical thinking and develop operational excellence thinking and soft skills in engaging different stakeholders from shopfloor to senior management to deliver a project.

• Interest in smart manufacturing, automation, and continuous improvement.
• Able to work with and interpret business and process data.
• Strong structured thinking and problem solving.
• Comfortable working with engineers, chemists, and data scientists.
• Able to communicate insights clearly.
• Proactive, curious, and adaptable.

• Understand and experience the GSK Culture.
• Work with a diversified team of professionals.
• Implement technical knowledge and skills that you have acquired at school.
• Apply and develop soft skills such as interpersonal, communications and negotiation skills.
• Transport to and from site to MRT stations in centralised locations across Singapore (only for manufacturing sites).

We are committed to creating an inclusive workplace and providing equal opportunities for all applicants. If you need any adjustments to the recruitment process to help you demonstrate your strengths and capabilities, please contact APACRe

Need help with your application? Please email us at  and let us know how we can help you.