KCA University (KCAU) is a private, non-profit institution, founded in July 1989 as Kenya College of Accountancy (KCA) by the Institute of Certified Public Accountants of Kenya (ICPAK) to improve the quality of accountancy and financial management training in the country. KCAU is located on Thika Road in Ruaraka, Nairobi, Kenya. The institution also maintains satellite colleges under the School of Professional Programmes in Githunguri, Kericho, Eldoret, Kisumu and Kitengela.Job Objective The candidate will be responsible for providing an opportunity for recent graduates to gain academic, research, and teaching support experience in Data Science and Artificial Intelligence and support high-quality teaching, learning, and research within the department. Duties and Responsibilities Teaching and Learning Assist lecturers in preparing teaching materials, tutorials, and coursework. Facilitate discussion groups, tutorials, or practical sessions where required. Support marking of assignments, tests, and examinations under supervision. Provide academic support and guidance to students. Research Coordination Engage in research activities, including literature reviews, data collection, and analysis. Help with research projects, including preparing reports, presentations, and grant development. Administrative and Student Support Assist departments in maintaining student records and data entry. Support in organising departmental activities, including seminars, workshops, guest lectures and ceremonies. Support administrative duties within the department as assigned. Assist in organising students’ activities. Provide student support and Services and refer them to support services as appropriate. Supervise undergraduate interns where applicable. Attend departmental and faculty meetings where required. Any other duties as may be assigned from time to time. Qualifications And Experience A Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, Software Engineering, Information Technology, or a closely related field from an accredited and recognised university. A strong academic record (at least Second-Class Upper Division or equivalent). First class is an added advantage. Must be currently enrolled in a Master’s Degree program. Demonstrated interest in research, teaching or consultancy. Proficiency in programming, data analysis, or AI-related tools will be an added advantage. Other Skills And Competencies Strong verbal and written communication skills Basic teaching and presentation skills Analytical and problem-solving skills Strong organisational and time management skills. Willingness to learn and work collaboratively