Uni Internship May to Dec 2026 - Automation and Advanced AI Procurement Solutions

Synapxe is the national HealthTech agency inspiring tomorrow’s health. The nexus of HealthTech, we connect people and systems to power a healthier Singapore. Together with partners, we create intelligent technological solutions to improve the health of millions of people every day, everywhere.
 
Are you someone who enjoys problem solving, has a creative and curious mind, and strives to create a better and healthier tomorrow? If you say yes to all, do check out our website and find out more about Internship@Synapxe.
 
Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. We aim to deliver the best experience for all interns, to create exponential growth and paving your future in the tech industry.

SAP Ariba, a primary platform for national and global eProcurement, is undergoing a transformation into an AI-native source-to-pay suite. The integration of automation and artificial intelligence (AI) aims to move procurement from manual paperwork to strategic, data-driven decision-making, improving efficiency, resilience, and compliance. Automation within the Ariba platform focuses on reducing manual intervention in routine, repetitive tasks to minimize errors and operational costs.

The intern will support implementation of Automation and AI projects for SAP Ariba using SAP WalkMe (user adoption platform), SAP BTP Build (automation tool) and SAP Joule (AI).

The selected intern will participate in, but is not limited to, the following:

• Support ALPS CIO Office team in understanding and mapping business requirements.
• Participate in design sessions and update project documentation (as assigned).
• Develop, test and deploy new use-cases for various stakeholders.
• Troubleshoot and fix production issues within stipulated response timeframe.
• Assist in software release preparation, notification, installation/patching.
• Other project-related tasks as assigned.

About you:

• Be pursuing a Bachelor Degree in Business Analytics, Computer Engineering, Computer Science, Data Science, Information Systems or related discipline
• Graduating in Dec 2026 or May 2027
• Basic knowledge in Software Development Lifecycle (SDLC), Agile methodology, and system/user testing practices (Regression Test, SIT, UAT)
• Proficiency in SAP Ariba and ERP system, robotic process automation (RPA) practices and tools is a plus
• Basic understanding of AI models and use-case knowledge
• Good team player with strong analytical and communication skills
• Ability to multitask and work effectively as part of a multidisciplinary team
• Passionate and keen to make a difference to re-imagine the future of HealthTech