Data Scientist

Location: Pretoria, Gauteng

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The main purpose of this position is to identify and model key National Payment System Department’s (NPSD) business decisions and apply business rules as well as analytic technology to automate and improve the business decisions.

Detailed Description

The successful candidate will be responsible for, among other things, the following key performance areas:

  • Develop requirements for predictive analytics by developing design specifications (decision models), in line with the data governance. The design specifications include the validation and success criteria, business goals and the business process model involved in making decisions.
  • Prepare the required data by performing a data assessment, consolidation and data integrity testing.
  • Identify actionable insights from the prepared data by providing statistics about data features, correlations between features, aggregation of data and the creation of new features. The results of this data exploration must be added to the requirements to focus on the most relevant data.
  • Perform predictive modelling (design, create, test and implement hypotheses and analytical models) using prepared data.
  • Monitor, measure and report on analytical results to ensure appropriate business recommendations and insights. The analytical results may require an update of the decision requirements model.
  • Ensure that there are deliverables resulting from the model development, such as deployed reusable software assets and knowledge transfer that allows business to integrate this asset in their business processes.
  • Lead applied analytics initiatives and produce analytical outputs in support of relevant business objectives.
  • Research, benchmark, design, implement and validate cutting-edge algorithms/models to analyse diverse sources of data to achieve targeted outcomes and provide expertise on mathematical concepts for NPSD.
  • Create a performance culture within the division, define performance expectations and conduct effective performance management of direct reports.
  • Evaluate own performance against given criteria, identify and address task-specific learning needs.
  • Plan, organise, control, manage and evaluate the work of team members and administer human capital functions.
  • Collate and provide management information for decision-making purposes.

Job Requirements

To be considered for this position, candidates must be in possession of:

  • a Postgraduate Degree in Statistics, Mathematics, Engineering, Economics, Computer Science or an equivalent qualification; and
  • seven years’ experience as a data scientist.

Additional requirements include:

  • planning and organising;
  • strategic thinking;
  • effective communication;
  • agility/flexibility;
  • drive for results;
  • learning focus;
  • team work;
  • building and maintaining relationships;
  • judgement and decision-making;
  • impact and influence;
  • analysis and problem-solving;
  • resilience; and
  • managing complexity and ambiguity.

How To Apply

All interested parties are invited to apply.

Internal applicant: Please note that internal applicants MUST apply through the ERP system. Apply now.

External applicant: External applicants MUST apply online, via

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Do not enclose copies of your identity document or qualification(s) with your application.

Shortlisted applicants will be subjected to a psychometric assessment, an appropriate reference check and a security clearance as part of the selection process.

The closing date for applications is 7 May 2021 . Late applications will not be considered.

In line with the SARB’s commitment to diversifying its workforce, preference will be given to suitable candidates from designated groups. People with disabilities are welcome to apply.

The SARB offers remuneration and benefits commensurate with the level of the position and in line with the market. The level at which the successful applicant will be appointed will depend on his/her experience and competence.

Ms Sarah Molomo
Senior Manager: Recruitment and Selection
Human Resources Department


Amount of Travel

Work At Home

*** Mention DataYoshi when applying ***

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