• The successful applicant will join a team of specialist to work together with the current internal capacity at the client on various projects.
  • Acquire, extract, process and synthesize datasets from systems.
  • Meeting specified data standards required for general data requests, specialized data requests as well as ad hoc requests including analysis thereof to provide insights and identify revenue opportunities.
  • Provide advisory support on data analytics, predictive modeling as well as data mining techniques in order to fully utilize data to the benefit of the organization.
  • Develop, amend, update and enhance available scripts to improve the extraction methods used.
  • Assist with the practical implementation of the identified machine learning model techniques.
  • Exploring patterns in behavior in the tax base to identify fraudulent and noncompliance.
  • Design, development and deploying of models for the prediction of submission and payment of tax products.
  • Experience in data analysis and methods of supplementing datasets utilized in machine learning modelling.
  • Utilizing both supervised and unsupervised machine modeling techniques.
  • Outlier detection models to identify noncompliance or tax declaration omissions.
  • Improvements and enhancements to the data store, processes to accommodate automation and Machine Learning modelling deployment.
  • Explore automation functions and machine learning techniques to improve the data management and analysis processes.

Minimum Requirements:


  • Must have a Senior Certificate (Matric) compulsory.
  • Must have a Data Science related Degree or 3 year National IT Diploma from a reputable institution.
  • At least 5 years advanced working experience in data analytics and business intelligence environment.

Technical skills & experience required:

  • Advanced knowledge of business information management.
  • Must be highly skilled in advanced analytics and big data.
  • Must have good experience with statistical analysis tools (SQL, SAS & Stata).
  • Relevant knowledge of programming languages like Python to wrangle and clean datasets.
  • Knowledge of the enterprise data warehouse environment and creation of data marts.
  • Experience in managing and using large data sets.

Desired Skills:

  • Data Scientist
  • SAS
  • Python

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