Role

• As a full-time Teaching Apprentice, you will assist in planning and delivering data analytics lessons, supporting students in their learning journey, and contributing to the development of the curriculum. This is a hybrid role, based in Nairobi County, Kenya.
• The 4-month assignment will offer you a mix of practical training supporting our 3-level Data courses, as well as pedagogical coaching alongside more experienced mentors. You will also get to:
• Coach and connect with students and academic advisors on a frequent basis to ensure student success
• Design and collaborate on practical assignments and final projects
• Engage and offer an increased and fresh presence in the classroom
• Provide substantial student feedback and offer a quick turnaround on grades.
• We’re welcoming applications from people at the beginning of their data career to receive structured guidance in how to mentor the next generation of data practitioners.

Candidate Profile

• We are particularly keen to receive applications from people with experience of graphics, visualization, or user experience. Alternatively, you may have interests in actuarial science, information technology or software technologies.
• Ideal candidates will have already gained an initial credential in the fields listed above, show some evidence of interest in Data Science or a related topic, and have experience teaching or mentoring young people. You also will have some experience working with AI as well as common data manipulation tools such as Excel, Tableau, Power BI, Qlik, Orange and RapidMIner.

Requirements

Qualifications

• Strong communication and interpersonal skills
• Experience in education and teaching
• Ability to create lesson plans and develop curriculum

Additional skills and qualifications that would be beneficial:

• Knowledge of data analytics and related tools
• Experience in curriculum development
• Passion for digital media and technology
• Ability to work in a fast-paced and dynamic environment
• Credential in Data Analytics, Education, or a related field