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  • Posted: Mar 25, 2024
    Deadline: Not specified
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    The South African Reserve Bank is the central bank of South Africa. It was established in 1921 after Parliament passed an act, the "Currency and Bank Act of 10 August 1920", as a direct result of the abnormal monetary and financial conditions which World War I had brought


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    Graduate Development Programme Data Science Intern

    Description

    Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. The core outcome of this programme is to develop deep capabilities in advanced analytics in central banking.

    Format of the programme

    • Graduates will be placed in the Business Systems and Technology Department within the SARB, from January 2025 to December 2025. During the programme, graduates will attend various learning interventions at the SARB Academy, including technical training. The programme offers opportunities for a Data Science track, and graduates will work in a Data Lab environment from time to time, on various use cases.

    Duration of the programme

    • One year

    QUALIFICATIONS

    To be considered, candidates must have a postgraduate qualification or be in the process of completing a postgraduate qualification (ideally completed the course work) in one of the following fields:

    • Data Science
    • Machine Learning/Artificial Intelligence
    • Predictive Analytics Modelling
    • Statistics
    • Applied Mathematics
    • Economics with Econometrics
    • Information Technology
    • Engineering
    • Business Mathematics and Informatics.

    Additional requirements

    • Coding with R and/or Python; 
    • be a South African citizen; 
    • be a curious, innovative and self-motivated individual with strong analytical skills;
    • have a proven track record of academic excellence with an overall average mark of 70% and above; and
    • have excellent communication and interpersonal skills.

    Method of Application

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