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Cape Town City Centre: Decision Scientist

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Job Description

Data Analysis & Decision Support Frame data analysis in terms of decision-making processes for business questions posed by stakeholders Analyse and optimise data within specific business areas to uncover opportunities for improvement, increased revenue, or cost reduction Design and implement advanced quantitative models to support strategic decisions Translate complex data into actionable insights that drive business outcomes AI & Machine Learning Strategy Contribute to Capitecs AI/Machine Learning roadmap and enable data-led decision-making Build predictive models using statistical and machine learning techniques and deploy them into production environments Apply modern software development best practices and solution design for scalable analytics Collaboration & Business Integration Work closely with stakeholders to gather requirements and translate them into business solutions Collaborate across functional teams to ensure alignment with regulatory requirements and organisational objectives Support business analysis and contribute to the design and delivery of innovative solutions Technical Implementation Extract, aggregate, clean, and analyse data from large relational databases Work in cloud environments (Azure, AWS) and navigate hybrid setups (cloud vs on-prem) Apply version control and containerisation (e.g., Docker) for machine learning models Ensure compliance with NCR, POPIA, SARB, and other regulatory frameworks Skills & Experience: Strong programming skills (SQL, SAS) and database manipulation Proficiency in data exploration, visualisation, and statistical model development Advanced computer literacy and experience with multiple operating systems Ability to productionalise models and apply complex machine learning methodologies Knowledge of predictive modelling techniques and deployment processes Familiarity with cloud computing and modern software development practices Qualifications: Degree in Mathematics, Statistics, Data Science, Business Analytics, Engineering, or Computer Science with 4 years relevant experience OR Honours Degree with 3 years relevant experience OR Masters Degree in Data Science or related discipline For more information contact: Recruitment Consultant

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How to Apply

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About IT / Computing / Software Jobs in Cape Town Region

The IT and computing industry in the Cape Town region is generally thriving, with a strong demand for skilled professionals in fields such as software development, data analytics, and cybersecurity. Typically, these roles are found across various sectors, including technology, finance, healthcare, and education. As a result, career opportunities in this field are often diverse and abundant.

In terms of salary ranges, it’s common to find IT and computing professionals earning between R400 000 to R1 200 000 per annum, depending on factors such as experience, company size, and industry sector. However, please note that these figures are broad estimates and may vary significantly based on individual circumstances. For instance, senior roles or those in larger companies tend to command higher salaries, while entry-level positions may be lower.

Common skills required for IT and computing roles include proficiency in programming languages such as Java, Python, or C++, experience with software development methodologies like Agile or Scrum, knowledge of data structures and algorithms, and familiarity with cloud computing platforms. Additionally, many employers also value skills such as data analysis, problem-solving, and communication.

The technology industry is a significant sector that employs IT professionals in Cape Town, followed by the financial services and manufacturing sectors. Other industries that commonly require these roles include education, healthcare, and government.

For those looking to advance their careers in IT and computing, there are various opportunities for professional development. Typically, this involves obtaining relevant certifications, such as CompTIA or Cisco, and staying up-to-date with industry trends through online courses or workshops. Many employers also provide training and mentorship programs to support employee growth. With experience and continuous learning, it’s possible to move into senior roles or specialise in a particular area of expertise.

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



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