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Johannesburg: BI Data Scientist

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Job Description

What you will be doing: Analyse complex datasets to identify trends, patterns, and correlations that drive actionable insights. Develop, implement, and validate machine learning algorithms and statistical models. Build, operationalise, maintain, and explain predictive models to business and technical stakeholders. Participate in the analysis, design, development, troubleshooting, and support of the reporting and analytics platform. Develop BI solutions using SQL, ETL scripting, database programming, and reporting tools on the Microsoft BI stack. Build scalable data pipelines for collecting, processing, and analysing large volumes of structured and unstructured data. Automate recurring analytical processes and monitor ongoing performance. Collaborate with actuaries, underwriters, and other stakeholders to integrate data science solutions into business workflows. Manage multiple tasks simultaneously and respond quickly to data-related issues. What we are looking for: Bachelors Degree or Diploma in Informatics, Computer Science, Statistics, Mathematics, or Information Technology, or equivalent experience. 4 years experience working as a Data Scientist or in a similar BI-focused role. Strong experience with Power BI, Azure Data Factory, and Azure Synapse Analytics. Advanced proficiency in Python / R, C++, C#, or Java. Extensive experience with Microsoft SQL Server and T-SQL. Strong understanding of statistical concepts, data modelling techniques, and experimental design principles. Experience developing BI solutions in medium to large organisations. Familiarity with the financial services industry, particularly insurance, is advantageous. Experience with machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. Exposure to big data technologies (Hadoop, Spark, Kafka) and cloud platforms (Azure, AWS, GCP) is beneficial. Excellent problem-solving, communication, and stakeholder engagement skills. Please note: If you do not hear from us within 3 weeks, consider your application unsuccessful.

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How to Apply

Click the green “Go Apply” button below to apply directly online with the employer.

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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