Graduate Trainee – Data and AI at The Science for Africa Foundation

PRINCIPAL DUTIES AND RESPONSIBILITIES

• Assist in gathering, cleaning, and organising data from various sources to ensure it is ready for analysis and use in AI models.
• Perform basic data analysis and create visualisations (e.g., charts, dashboards) to communicate insights effectively to stakeholders.
• Collaborate with the team to design, test, and refine AI-driven tools for knowledge organisation, retrieval, and recommendation systems.
• Help populate, update, and manage the digital knowledge repository, ensuring it is user-friendly and accessible.
• Conduct research on best practices in data and AI for knowledge management and document processes, findings, and lessons learned.
• Work closely with team members and programme stakeholders to understand their data and knowledge needs and provide technical support as required.
• Any other duties as may be assigned from time to time.

PERSON SPECIFICATIONS

Academic Qualifications

• In the final year of or have just completed your master’s degree in computer science, Data Science, Applied Mathematics or a related field.

Experience

• No work experience is needed.

Knowledge, Skills and Attributes

• Experience of using techniques and frameworks for artificial intelligence, machine learning, data visualisation and data analytics.
• Familiarity with machine learning frameworks is desirable.
• Experience in conducting research and writing reports.
• Familiarity with programming languages (preferably Python and R).
• Must demonstrate ability to pay attention to details.
• Inter-personal skills and experience working within teams.
• Excellent communication skills to deal with a variety of people at different levels of seniority.