We are seeking a motivated Graduate Trainee to join our team and support the development and implementation of data and AI-driven initiatives. The trainee will assist in collecting, analysing, and visualising data to generate actionable insights, contribute to the design of AI tools for knowledge organisation and retrieval, and help maintain a robust knowledge repository. This role offers an excellent opportunity to gain hands-on experience in cutting-edge data and AI technologies while contributing to impactful programs that advance science and innovation across Africa. The ideal candidate will have a strong interest in data science, and AI, along with a passion for leveraging technology to drive positive change.

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.