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Johannesburg: Data Scientist

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Job Description

This role focuses on unlocking business value through data by building predictive models, designing analytical frameworks, and delivering automated reporting solutions that enable informed decision-making across the business. The environment is fast-paced, collaborative, and focused on solving complex problems through innovative analytics. You will work closely with internal stakeholders and clients to identify opportunities, solve complex business challenges, and translate large datasets into clear, actionable insights. Key Responsibilities: Develop predictive and machine learning models to support forecasting, segmentation, and risk analysis Analyse large datasets to generate actionable insights and support decision-making Partner with stakeholders to identify analytics opportunities and solve business problems Support client and portfolio analytics, including performance tracking and benchmarking Build automated dashboards, reporting solutions, and reusable data tools Extract, transform, and analyse data using SQL and Python within modern data platforms Present insights to both technical and non-technical stakeholders Job Experience and Skills Required: Education: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related quantitative field Experience: 36 years experience in data science, data analytics, or data engineering within a commercial or financial services environment Strong experience working with large datasets using SQL and Python Experience with Power BI for reporting and dashboards Proven ability to deliver insights to both technical and non-technical stakeholders Experience with machine learning techniques advantageous Skills: Advanced SQL (essential) Strong Python programming for data analysis and automation Power BI (including DAX) Experience with cloud or modern data platforms (e.g. Databricks, Synapse or similar) Familiarity with Git or version control tools beneficial 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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