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  • Posted: Oct 7, 2024
    Deadline: Not specified
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    The South African Revenue Service (SARS) is the nations tax collecting authority. Established in terms of the South African Revenue Service Act 34 of 1997 as an autonomous agency, we are responsible for administering the South African tax system and customs service. Its main functions are to: collect and administer all national taxes, duties and levies; c...
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    Business Area Lead: Civil Case Select Strategy

    Job Purpose

    • To provide leadership expertise in evaluating and selecting civil cases that align with the organisation’s goals, developing strategic plans for case management, efficiently allocating resources, monitoring case performance, and communicating with stakeholders.

    Education and Experience

    Minimum Qualification & Experience Required

    • Relevant Honours / Postgraduate Diploma (NQF 8) AND 10-12 years' experience in a similar environment, of which 3-4 years at the management level.
    • Relevant Bachelor's Degree / Advanced Diploma (NQF 7) AND 12 - 15 years’ experience in a similar environment, of which 3-4 years at the management level

    Minimum Functional Requirements

    Job Outputs:

    Process

    • Act as the bottom-line driver of best operating practices for Civil Case Selection Strategy.
    • Define and balance the best way to achieve business tactical intention through process, people and task determination for Civil Case Selection Strategy.
    • Own and oversee the practice of Civil Case Selection Strategy through compliance analysis and evaluation for Tax.
    • Formulate the tactical strategy and associated delivery plans to manage the end-to-end process for Civil Case Selection Strategy.
    • Develop practices to identify and consolidate compliance risks across all taxpayer groups for Civil Case Selection.
    • Protect organisation by establishing practices for compliance risk & Civil Case Selection Strategy standards, anticipating compliance trends.
    • Develop tactical strategy and delivery plans in support of functional objectives in partnership with leadership.
    • Direct, control, coordinate and optimise budgeted resources to meet specific objectives and deliver agreed results and productivity requirements.
    • Ensure the development and implementation of multiple practices in alignment with operational policy and procedural frameworks.
    • Identify and recommend opportunities to continuously improve all functions and systems in line with national, regional and organisational changes.
    • Plan for handling work outputs, pull together interdependent activities & specify priorities, standards & procedures to ensure tactical excellence.
    • Proactively identify interconnected problems, determine its impact and use to develop best fit alternatives, driving best practice solutions.
    • Provide periodic reports on performance against plan & progress on short-term initiatives & use to realign tactical plan and objectives appropriately.
    • Use the insights gained through integrated business reports to measure success & realign tactical strategy development objectives appropriately.
    • Recommend changes to optimise processes, systems, policies and procedures, and direct the implementation of change and innovation initiated by the organisation.

    Governance

    • Implement governance, risk and compliance policy in own practice areas to identify and manage governance and risk exposure liability.
    • Manage and or advise on the translation and application of policy in a specific functional area.
    • Plan & develop enhanced organisational efficiency by identifying and addressing development requirements & providing tools for people resources.

    People

    • Plan & develop enhanced organisational efficiency by identifying and addressing development requirements & providing tools for people resources.
    • Create a positive work climate & culture to energise employees & give meaning to work, minimise work disruption and maximise employee productivity.
    • Develop & implement appropriate people capacity plans in line with delivery & efficiency targets, on budget & in partnership with specialised areas.

    Finance

    • Implement and monitor financial control, management of costs and corporate governance in area of accountability.
    • Draw up a budget aligned to business unit delivery plans, monitor planned vs. actual, minimise expenditure and report on cost efficiency.

    Client

    • Manage an integrated service excellence culture, which builds rewarding relationships and provides opportunities for feedback and exceptional service.
    • Develop and ensure implementation of practices which build service delivery excellence and encourage others to provide exceptional client service.
    • Build strong relationships and develop service-level agreements that promote SARS with internal and external stakeholders.

    go to method of application »

    Chief Data Scientist

    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

    go to method of application »

    Specialist: Data Analyst

    Job Purpose

    • SARS is looking for a highly skilled and detail-oriented Specialist Data Analyst to join our team.
    • The successful candidate will be responsible for analysing data, generating insights, and developing data-driven strategies to improve business performance. 
    • Your work will be well oiled by our data. We want you to better understand our data and come up with cutting-edge insights and solutions to further enhance our service offering.

    Education and Experience

    Minimum Qualification & Experience Required

    • Relevant Bachelor’s Degree / Advanced Diploma (NQF 7) in (Informatics/Computer Science/Statistics/IT) AND 8-10 years’ experience in Data Engineering / Business Data Intelligence / Data Science, of which 3-4 years at the operational specialist level
    • Senior Certificate (NQF 4) Informatics/Computer Science/Statistics/IT) AND 15 years in Data Engineering / Business Data Intelligence / Data Science experience with 3-4 years at the operational specialist level.

    Minimum Functional Requirements

    • Experience in Data Engineering / Business Data Intelligence / Data Science
    • Advanced (applied theory) technical expertise regarding data processes, data cleaning, analysis, reporting, data models, and database design and testing
    • Knowledge of and experience with reporting tools (SQL and Power BI / Tableau or equivalent), databases (SQL Server) and programming (R, Python, etc.)
    • Advanced (applied theory) knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, R, etc.)
    • Advanced (applied theory) Data warehouse knowledge.
    • Be advanced in the application of:
    • Basic Data Migration
    • Basic Data Visualization  
    • Business Intelligence Methodologies
    • Database Knowledge
    • Advanced (applied theory) Programming Skills – i.e. SQL, and Python/R, etc.
    • Microsoft skills (Advanced in)– i.e. Excel, Word, PowerPoint, etc.

    Job Outputs:

    Process

    • Review the effectiveness of related approaches and methodologies by conducting research, and best practice benchmarking initiatives.
    • Conduct assessments and use information to advise, make recommendations and facilitate improvement.
    • Acquiring data from primary or secondary data sources and maintaining databases, applying the knowledge of data extraction, transformation, and business modelling.
    • To perform complex/advance business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modelling, and data mining.
    • To design, develop, and test complex/advance data analytics solutions like Reports, Dashboards, Analysis, Extracts, Models, etc.
    • To identify, analyse and interpret trends and patterns in complex/advance data sets, based on data findings.
    • Communicate the results of their analysis and findings by using basic complex/advance visualisation techniques with both internal and external customers.
    • To ensure the availability of existing data analytics solutions (like reports, etc.) by maintaining them as well as improving them where shortcomings exist.
    • Analyses data, creates summary reporting, and performs analysis to support the decision-making of research, senior management, member companies, and internal departments.
    • Builds and manages/maintains a database to house data collected from various sources.

    Governance

    • Implement and provide input into the development of governance, compliance, integrity, and ethics processes within the area of specialisation.

    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

    • Adhere to organisational policies and procedures to ensure cost-effectiveness and reduction of financial costs.

    Client

    • Contribute to a culture of service excellence, which builds positive relationships and provides opportunities for feedback and exceptional service.
    • Provide authoritative, specialist services, expertise, and advice to internal and external stakeholders.
    • Build and maintain relationships with clients and internal and external stakeholders that promote cross-functional process delivery solutions.

    Method of Application

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