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Johannesburg: Data Scientist

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Job Description

In this role, you will develop and deploy machine learning and statistical models, design AI-driven solutions, and tackle complex analytical challenges. You will work across the entire data lifecycle – from data discovery to insight delivery – while leveraging modern platforms like AWS and SAS Viya to build scalable, high-impact solutions. This position is perfect for someone who combines deep technical expertise with strong business understanding. Key Responsibilities: Manage full data workflows: Data extraction, cleaning, preparation, and analysis Create meaningful dashboards and visualisations to communicate insights Build and deploy statistical and machine learning models using SAS, Python, and SQL Develop new AI-driven solutions for complex business problems Translate ambiguous or unstructured business challenges into clear analytical approaches Work within AWS and SAS Viya environments for development and deployment Collaborate closely with business teams to understand needs before building solutions Present findings and recommendations in a clear, concise manner to stakeholders Job Experience and Skills Required: Education: Degree in a quantitative field, such as Applied Mathematics, Statistics, Data Science, or related disciplines Strong theoretical grounding in statistical modelling is essential Experience: Strong background in data preparation, data wrangling, and exploratory analysis Experience working with SAS, Python, and SQL in production environments Proven experience with machine learning or statistical models Exposure to cloud technologies, preferably AWS Experience using data visualisation tools (e.g., SAS Visual Analytics or similar) Skills: Strong analytical and problem-solving ability Ability to work independently and take full ownership of solutions Excellent communication skills and the ability to tell a clear data-driven story High levels of curiosity and willingness to experiment and learn Strong collaboration skills able to work closely with both technical and non-technical teams Enjoys tackling challenging problems and thrives in a dynamic environment For more exciting Actuarial and Analytics vacancies, please visit:

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How to Apply

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About IT / Computing / Software Jobs in Gauteng

In Gauteng, the IT and computing industry is a significant contributor to the province’s economy, with a steady demand for skilled professionals. Typically, this field is characterized by rapid technological advancements, innovative projects, and a high level of job satisfaction among employees. Generally, career prospects in this sector are strong, with a range of opportunities available across various industries.

Salaries for IT and computing professionals in Gauteng can vary widely depending on factors such as experience, company size, and industry sector. While it is common to see salaries ranging from R400 000 to R1,200 000 per annum, these figures are only a general guideline and actual salaries may differ significantly. For instance, senior executives or technical leads with extensive experience may command higher salaries, while entry-level positions may start at lower levels.

Common skills required for IT and computing roles in Gauteng include proficiency in programming languages such as Java, Python, or C++, knowledge of cloud platforms like AWS or Azure, and experience with agile development methodologies. Additionally, understanding of data analysis and interpretation, cybersecurity principles, and IT project management are often essential. Familiarity with popular software applications, such as Microsoft Office 365 or Google Workspace, is also beneficial.

The financial services sector, technology industry, manufacturing sector, and government departments are among the common industries that employ IT and computing professionals in Gauteng. These sectors require a range of skills and expertise, from data analysis to network administration, making them attractive options for career development.

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For those seeking a career in IT and computing, there are numerous opportunities for professional growth and development. Typically, career progression involves moving into senior roles or specialized positions, such as technical lead, solutions architect, or data scientist. Opportunities for further education and training, such as certifications or postgraduate studies, can also enhance job prospects. Generally, a strong understanding of industry trends, networking, and continuous learning are essential for success in this field.


This information provides general career guidance. Actual salaries and requirements vary by employer.



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