Degree in a STEM-related or analytical field such as Mathematics, Statistics, Data Science, Engineering, Computer Science, Actuarial Science, or similar disciplines.
Strong numerical, logical, and structured thinking skills, with high attention to detail.
Comfortable working with data, spreadsheets, reports, dashboards, ROI, KPIs, and performance metrics.
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Education: Currently pursuing a Master’s or PhD degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. Bachelor’s students will be considered if they have strong project experience showcasing AI application development.
Technical Proficiency: Strong familiarity with Python programming.
AI Foundations: Basic understanding of Machine Learning, LLMs, or Generative AI.
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Diploma/Degree holder in any discipline• Good written and spoken English• Strong computer literacy• Organised and able to work independently• Comfortable working remotely• Good communication and follow-up skills• Positive attitude and willingness to learn new technology
AI productivity tools• Microsoft Office and cloud collaboration platforms• Digital file management systems• Project/task management applications• Product database or information management systems• ERP, CRM or other business software• Basic design or content creation tools
Experience or exposure in the following areas will be an advantage:
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Educational Background: Currently pursuing or a recent graduate of a Diploma or Degree in Information Technology, Computer Science, Cybersecurity, or a related field.
Foundational Knowledge: Basic understanding of networking (TCP/IP, DNS), operating systems, and cybersecurity principles.
Writing Skills: Exceptional ability to write clear, concise, and structured technical documentation in English.
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