Do you have what it takes to become a leading Data Scientist? Kaduna State in Nigeria has opened applications for its 2020 Data Science Fellowship Programme.
The Data Science Fellowship Programme is part of the Kaduna State’s Data Revolution Plan aimed at strengthening the coordination in the collection and use of data for evidence based decision making.
The Programme is expected to last for a 6-month period divided into a 3-months intensive training programme and a 3-months paid internship, where participants would have an opportunity to work closely with the Amina J. Mohammed SDGs Data Lab under the Kaduna State Bureau of Statistics. Fellows will also be posted to MDAs especially the State Ministry of Health and Other Agencies to support in data coordinating effort that will provide impact to society.
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Kaduna is one of the major states in Nigeria. ... In 1967, Kaduna became the capital of the North Central State, which was created from the Northern region. By 1976, General Murtala Mohammed gave the state its name. In 1987, the military administration of General Ibrahim Babangida created the state of Katsina from Kaduna. The Data Science Fellowship Programme is part of the Kaduna State’s Data Revolution Plan aimed at strengthening the coordination in the collection and use of data for evidence based decision making. The Data Lab ...... continue reading
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Click-on Kaduna Data Science Fellowship Programme
Aim and Benefits of Click-on Kaduna Data Science Fellowship Programme
Participants of the programme will benefit from the following:
- A chance to upgrade your skills and develop a career in the most sought after industry in the world.
- An opportunity to work with a team of public policy experts, Data Analysts to contribute to development planning, public policy, and use of data for evidence based decision making in the Health Sector.
- 6 months fully paid internship programme with industry leaders and stakeholders within the health sector.
- Model data using Artificial Intelligence and Machine Learning tools within the Amina J. Mohammed SDGs Data Lab.
- Build a sustainable network within the Data Science Ecosystem.
Requirements for Click-on Kaduna Data Science Fellowship Programme Qualification
- Age: 18yrs – 35yrs except for exceptional cases
- Location: The State of residence must be in Kaduna
- Academic Qualifications: Graduate of Tertiary Institutions in any of the STEMS courses particularly: Statistics, Mathematics, Computer Science, Engineering, Economics, Physical Sciences, and any other health related discipline. Undergraduates within the STEM fields identified who are doing their 6months to 1 year Internships are also encouraged to apply.
- Competency Level: We are looking for people with the following skills:
- Basic Computer Knowledge
- Basic Knowledge around using Data & Understanding of Microsoft Excel
- Problem Solving Skills
- Communication Skills(Written and Verbal English)
- Gender: 50% gender balancing and distribution will be considered during selection process.
Application Deadline
August 31, 2020
How to Apply
Interested and qualified? Go to
Click-on on datascience.click-onkaduna.ng to apply
- Fill and Submit the application form
- You will receive an email with an activation link
- Click the activation link to activate your profile
- Create a new password then Login to your profile
- Write an easy of not more than 250 words. Why you should be selected for the programme, and Upload a valid means of identification (i.e Voters card, National ID Card, Driver’s License or International Passport) NB: Image type should be .jpg
- You will get a confirmation status of your application
- If successful, then you will be contacted to take a Computer Based Test
- If successful, then you will be contacted to upload a video introducing yourself, stating why you applied and why you should be accepted into the programme.
- If successful, then you will be contacted to attend a One on One Interview with the Selection Panel.
- Join the Pioneer Cohort for the Fellowship Programme
For more details, visit the scholarship website
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