Click-on Kaduna Data Science Fellowship Programme for Young Leaders 2022

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👤 Eligibility: In Fellowships for Graduates (RSS)
🕡 Deadline: May 20, 2022 (See all deadlines)
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Do you have what it takes to become a leading Data Scientist? Kaduna State in Nigeria has opened applications for its 2022 Data Science Fellowship Programme.

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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.

SEE ALSO: Hubert H. Humphrey Fellowship Program in the US 2022-2023

Eligibility Criteria

  • 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:
    1. Basic Computer Knowledge
    2. Basic Knowledge around using Data & Understanding of Microsoft Excel
    3. Problem Solving Skills
    4. Communication Skills(Written and Verbal English)
  • Gender: 50% gender balancing and distribution will be considered during selection process.

Event Process

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

Aim and Benefits

Participants of the programme will benefit from the following:

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  • 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.
SEE ALSO: Zoological Society of London EDGE of Existence Fellowships for African Countries 2022

How to Apply

Go to Kaduna State Government on www.datascience.click-onkaduna.ng to apply

  • Step 1: Fill and Submit the application form
  • Step 2: You will receive an email with an activation link
  • Step 3: Click the activation link to activate your profile
  • Step 4: Create a new password then Login to your profile
  • Step 5: 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
  • Step 6: You will get a confirmation status of your application
  • Step 7: If successful, then you will be contacted to take a Computer Based Test
  • Step 8: 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.
  • Step 9: If successful, then you will be contacted to attend a One on One Interview with the Selection Panel.
  • Step 10: Join the Pioneer Cohort for the Fellowship Programme.

Visit the OFFICIAL PAGE for further information. DROP COMMENTS for questions/suggestions.

⭐ Apply Next: Harry Frank Guggenheim (HFG) 2023 Emerging Scholar Awards for Graduate-Student Researchers

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DISCLAIMER: Do not pay or release sensitive financial details to any organizer/recruiter unless futher verified from your end.
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