RPA & Digital Transformation Intern

Synapxe

Singapore

Hybrid

SGD 13,000 - 18,000

Part time

2 days ago
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Job summary

Synapxe in Singapore is offering a Uni Internship Jan to July 2027 focused on Digital Transformation and Automation. You will gain hands-on experience across RPA, app development, and system integration, contributing to end-to-end digitalisation initiatives.

You will work with cross-functional teams to identify automation opportunities, develop RPA solutions, and build dashboards. Ideal candidates are Year 2/3 undergraduates in related fields with a proactive, collaborative mindset and a passion

Qualifications

  • Undergraduate currently in Year 2 or Year 3 pursuing a degree in Business AI Systems, Data Analytics, IS, CS, or related fields.
  • Strong ability to analyse processes, identify inefficiencies, and propose practical solutions.
  • Eager to learn new tools quickly with a proactive attitude and ability to work independently.
  • Able to communicate effectively and collaborate with stakeholders across teams.
  • Keen interest in digitalisation, automation and process improvement.

Responsibilities

  • Identify automation opportunities across operations, finance, and procurement.
  • Develop and implement RPA solutions to reduce manual processes.
  • Support application development and integration of digital tools and systems.
  • Build dashboards and tools to enhance decision-making and reporting.
  • Engage stakeholders to ensure solutions meet business requirements.

Skills

RPA
Process analysis
Stakeholder collaboration
Digitalisation

Education

Undergraduate Year 2/3
Related discipline

Job description

Synapxe in Singapore is offering a Uni Internship Jan to July 2027 focused on Digital Transformation and Automation. You will gain hands-on experience across RPA, app development, and system integration, contributing to end-to-end digitalisation initiatives.

You will work with cross-functional teams to identify automation opportunities, develop RPA solutions, and build dashboards. Ideal candidates are Year 2/3 undergraduates in related fields with a proactive, collaborative mindset and a passion

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