You will be expected to

Translate business problems into practical, technology-enabled solutions.
Partner with stakeholders to move ideas from concept → experiment → execution.
Build clean, reliable data foundations to enable experimentation.
Design automated data pipelines and reusable workflows to accelerate access to insights.
Rapidly prototype applications and solutions to test domain concepts.

Design and run evaluations to test solution performance, reliability, and user value.
Support analytics and GenAI pilot initiatives through the project lifecycle—tracking workstream milestones, documenting action items, identifying dependencies, and helping keep stakeholders aligned.

This role requires someone who can work fluidly across business and technology — someone with strong data fluency and analytical thinking, an automation and problem-solving mindset, and a natural curiosity that drives experimentation and a bias for action.

Minimum Qualifications

Currently enrolled in a Master’s programme (e.g. Business Analytics, Data Science, Computer Science, Operations Research, or related discipline)
Prior professional experience in a supply chain, data, analytics, or technology-related role
Hands-on proficiency in business oriented programming langages or automation environment
Experience working with data pipelines, SQL, or business intelligence / reporting tools
Strong written and verbal communication skills — able to present technical work to non-technical stakeholders

Preferred Qualifications

Experience with data visualisation tools (e.g. Tableau) or front-end frameworks for building lightweight applications
Familiarity with supply chain, logistics, or operations environments
Exposure to agile or iterative development approaches
Experience building automated workflows or integrating data across multiple systems
Comfortable working with ambiguity — able to scope problems independently and propose practical solutions
A self-starter who can balance multiple workstreams and adapt quickly in a fast-paced environment