Recent Jobs at The South African Revenue Service (SARS)

Job Purpose

• To facilitate the adoption of new leading edge ‘Game Changer’ concepts in support of the SARS Vision 2024 enterprise strategy. This is achieved through research and benchmarking, participating in open collaboration networks, identifying and conceptualising innovation solution designs, the incubation of concepts (e.g., prototyping, piloting, etc.) and implementation of solution designs.
• The outcomes are utilised to define product features, develop their implementation roadmaps in the SARS business architecture and business solutions landscape, and ensure that the designs support the achievement of sustainable business results, including the provision of design and implementation support and conducting stakeholder engagement.

Education and Experience

Minimum Qualification & Experience Required

• Honours  / Postgraduate Diploma (NQF 8) in Industrial Engineering; Computer Science and Min. 10-12 years' experience in an innovation, design, and technology environment, of which 3-4 years at a specialist level.
• Relevant bachelor’s degree / Advanced Diploma (NQF 7) in Industrial Engineering or Computer Science and 15 years’ experience in an innovation, design, and technology environment, of which 3-4 years at a specialist level.

Job Outputs:

Process

Innovation

• Collaborate with local and international owners, partners and stakeholders
• Conduct local and international research and benchmarking
• Develop, socialise and publish fore-sighting reports
• Draft idea elevator pitches
• Understand business problem using data driven approach
• Design Innovation Solutions
• Draft Innovation Business Cases
• Build, test and demonstrate prototype
• Manage prototype governance
• Track solution benefits

Solutioning

• Build relationships with Business, Product and Segment Owners
• Build stakeholder and partner networks
• Assess the strategic landscape
• Draft or facilitate the drafting of modernisation and solution strategies
• (5-10-year horizon)
• Socialise modernisation and solution strategies
• Analyse and understand problems
• Collaborate on the detailed designs
• Draft Business Cases
• Participate in the development and testing cycle
• Track solution benefits

Governance

• Implement and provide input into the development of governance, compliance, integrity and ethics processes within area of specialisation.
• Ensure that completed work adhere to relevant policies, procedures, governance and legislative requirements and report on deviations & discrepancies. 

People

• Develop and maintain productive working relationships with peers and team members to achieve predefined objectives.
• Search for, integrate and share new knowledge attained through formal and informal learning opportunities in the execution of your job.

Finance

• Implement and monitor financial control, management of costs and corporate governance in area of accountability
• Adhere to organisational policies and procedures to ensure cost effectiveness and reduction of financial costs.

Client

• Build strong relationships and develop service level agreements that promote SARS with internal and external stakeholders.
• Manage an integrated service excellence culture, which builds rewarding relationships and provides opportunity for feedback and exceptional service.
• Contribute to a culture of service excellence, which builds positive relationships and provides opportunity for feedback and exceptional service.
• Provide authoritative, specialist services, expertise and advice to internal and external stakeholders. 

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Job Purpose

• To represent SARS during ADR process, to do presentations to the internal governance committees as well the drafting of legal agreements.  In addition, to provide expertise, advice, and support to develop operational implementation plans and / or associated service delivery processes, by providing a full suite of services of the unit, prepare solutions to new precedents for consideration, and contribute to the resolution of complex issues facing the unit, to continuously enhance service delivery.

Education and Experience

Minimum Qualification & Experience Required

• B. Law (LLB), an Admitted Attorney and 8-10 years' experience in a dispute resolution environment, of which 3-4 years ideally at operational specialist level.

Minimum Functional Requirements

• Senior Certificate (NQF 4), 15 Years disputed resolution environment and 15 years related experience.

Job Outputs:

Process

• Represent SARS during the ADR process.
• Adhere to timelines to complete disputes.
• Presentations to Internal Governance Committees.
• Drafting legal agreements.
• Be a member or chairperson in various governance committees.
• Identify tax and customs loopholes and potential risk and recommend legal interventions in an effort to close the tax gap.
• Finalise legal matters by identifying facts, accessing relevant sources, analysis, application, advice and implementation of the course of action.
• Analyse and make recommendations about improvements to specialist systems, procedures and associated area's practice.
• Contribute to the optimum utilisation of org. resources, advising on effective planning and development of area of specialisation resource plans.
• Develop a single practice area in alignment with operational activity and procedural frameworks and ensure tactical implementation.
• Draw on own technical or professional expertise, knowledge & experience to identify & recommend tactical solutions to defined problems in practices.
• Integrate business information, compare, analyse & produce reports to identify trends, discrepancies & inconsistencies for decision making purposes.
• Optimise goal achievement through tactical strategy implementation and optimisation of practises, processes & systems across an internal value chain.
• Plan for value-added, continuous practice & system improvements to deliver on objectives to enhance tactical implementation and excellence.
• Proactively identify interconnected problems, determine its impact and use to develop best fit alternatives; best practice implementation solutions.
• Translate top-down policy in relation to own practice area and communicate impact to relevant stakeholders.
• Recommend changes to optimise processes, systems, practice area and associated procedures and execute the implementation of change and innovation.
• Legal advisory services.

Governance

• Develop and/or align governance and compliance policies for own practice area to identify and manage risk exposure liability.

People

• Provide specialist know-how, support, advice and practice thought leadership in area of expertise.
• Integrate new knowledge and transfer skills attained through formal and informal learning opportunities in the execution of your job.

Finance

• Implement and monitor financial control, management of costs and corporate governance in area of specialisation.

Client

• Contribute to a culture of service excellence, which builds positive relationships and provides opportunity for feedback and exceptional service.
• Provide authoritative, specialist services, expertise, and advice to internal and external stakeholders.

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Job Purpose

• To provide expert advice and guidance in the design, implementation and validation of statistical machine learning / artificial intelligence products, be innovative in blending algorithms with the expertise of the organisation, to best serve the needs of SARS customers and support the organisation’s strategic intent of voluntary compliance. Use algorithms to improve operational efficiencies as well as detect non-compliance, conduct research and keep abreast of latest tools and models to be applied in resolving the organisation’s problems.

Education and Experience

Minimum Qualification & Experience Required

• Honours / Postgraduate Diploma (NQF 8) in a quantitative field e.g. Actuarial Science, Statistics, Physics, Computer Science, Data Science, Machine Learning or similar AND 10-12 years' experience in a similar environment of which 3-4 years at a specialist level

OR

• Bachelor's Degree / Advanced Diploma (NQF 7) in a quantitative field e.g. Actuarial Science, Statistics, Physics, Computer Science, Data Science, Machine Learning or similar AND 12-15 years related experience of which 3-4 at a specialist level
• A Master’s degree would be advantageous.

Minimum Functional Requirements

• Skilled in statistics or machine learning.
• Able to read and digest academic papers to think creatively about our data and provide guidance on what to build.
• Fluency in a coding language such as R, Python or similar.
• Excellent written and verbal communication. Able to articulate concepts effectively in different ways dependent on the audience – non-technical, non-ML technical, ML/DS practitioners.
• Advanced level of experience with relational databases and SQL knowledge (5+ years).
• Some experience with non-relational databases e.g. DynamoDB (1+ years).
• Experience with different data format types e.g. JSON, Parquet, CSV, Pickle, XML (2+ years).
• Some experience with unstructured data and NLP techniques is desirable (not only ChatGPT e.g. Spacy, Hugging Face) (1+ year).
• Intermediate experience running end-to-end machine learning or research projects (must have been involved in operationalizing ML / AI projects).
• Experience with streaming data is an advantage.
• Cloud experience on AWS, Azure, GCP, IBM Cloud is an advantage.
• Experience with foundational models (deploying as-is, using RAG or fine tuning) is an advantage.

Job Outputs:

Process

• Analyse and make recommendations about improvements to specialist systems, procedures, policies and practices.
• Develop multiple practices in alignment with operational policy and procedural frameworks, supporting tactical development and excellence.
• Integrate business information, compare, analyse and produce reports to identify trends, discrepancies and inconsistencies for decision-making purposes.
• Stay up to date with DS/ML/AI techniques and trends and supporting architecture trends in the domain.
• Think creatively about the organisations’ data and provide guidance on what to build (using skills and innovative mindset to spot opportunities).
• Share best practices and learnings to the team and the wider data specialists across the organisation.
• Analyse and critique Machine Learning models of teammates to continuously improve our artefacts.
• Expose Machine Learning outputs via APIs or similar, to stakeholders to use.
• Define and build dashboards and analyses/reports that track KPIs, experiments and new initiatives.

Governance

• Develop and/or align governance and compliance policies in own practice areas to identify and manage risk exposure liability.

People

• Integrate new knowledge and transfer skills attained through formal and informal learning opportunities in the execution of your job.
• Provide specialist expertise, support, advice and practice thought leadership in area of expertise.

Finance

• Implement and monitor financial control, management of costs and corporate governance in area of specialisation

Client

• Participate in the specialist practice community and contribute positively to organisation knowledge management.
• Develop and ensure implementation of own practices to build delivery excellence, encouraging others to provide exceptional stakeholder service.
• Provide authoritative, specialist expertise and advice to internal and external stakeholders