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  • Posted: Nov 4, 2025
    Deadline: Nov 7, 2025
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  • The vision of the Eastern Cape Department of Economic Development, Environmental Affairs and Tourism is of a province where economic growth and sound environmental management underpin sustainable development. Its main strategic goal is innovation for sustainable development, with the strategic objectives being to improve organisational performance, local eco...
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    Intern: Information Technology (ICT) (03 Posts)

    Intern: Information Technology (ICT) (03 Posts)

    • Directorate: Information Technology
    • (Data Analyst-Scientist / Systems Development / Support)
    • Stipend: R7 860.50 per month for graduates
    • Centre: Qonce
    • Reference Number: DSRAC 09/09/2025
    • Persons with disabilities are encouraged to apply.

    Requirements

    • National Senior Certificate plus a National Diploma (NQF level 6 as recognised by SAQA) in IT; Business Applications; Software Development; Technical Programming; Mathematical Statistics; Computer Science; Applied Mathematics, or other relevant and equivalent qualifications.
    • Advantageous Additional Certificates/Courses:
    • Big Data
    • Data Analysis & Modelling (Pandas, NumPy, Matplotlib, seaborn, SciPy)
    • Machine Learning and Deep Learning (Sklearn, TensorFlow, Keras, Pytorch)
    • Data Visualization (Power BI, Tableau)
    • Coding/IDEs (Python, Jupyter, Spyder, Pycharm, R programming) will be an added advantage.

    Duties

    • Provide functional, technical support and data analysis related services for departmental systems, especially Isisele modules, Intranet and Website.
    • Work with the designated applications/systems business functionality and use technical and analytical expertise to locate and resolve applications/systems related problems.
    • Provide system-related advisory services to departmental users and help-desk services.
    • Provide training for users for designated systems.
    • Provide data analytic/analysis related services.
    • Work closely with business to identify issues and use data to propose solutions for effective decision-making.
    • Build algorithms and design experiments to merge, manage, and interpret data for analysis and reporting purposes.

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