Job Description
About the Role
We are seeking an experienced Data Scientist to join our team in Johannesburg. As a key member of our analytics strategy and model development team, you will be responsible for developing and implementing advanced mathematical, statistical, and machine learning models to address business problems and opportunities. You will work closely with cross-functional teams to define metrics, delivery plans, and business information needs, and present analytical findings and recommendations to stakeholders in clear, visual formats.
Key Responsibilities
- Develop and implement advanced mathematical, statistical, and machine learning models
- Optimize analytical methodologies and ensure alignment with organisational strategy
- Translate technical outputs into actionable business insights within approved architecture
- Build predictive models and automation solutions to enhance efficiency, reduce costs, and drive revenue growth
- Source, prepare, and validate data for analysis, ensuring quality and reliability
- Apply data wrangling principles to improve data integrity
- Ensure compliance with privacy laws, ethical data use, and governance standards
- Maintain and regularly update models for ongoing relevance and accuracy
- Partner with cross-functional teams to define metrics, delivery plans, and business information needs
- Present analytical findings and recommendations to stakeholders in clear, visual formats
- Mentor junior analysts and foster a culture of knowledge sharing and continuous improvement
- Contribute to specialist communities and organisational learning initiatives
Requirements
- Strong proficiency in statistical modelling, machine learning, and predictive analytics
- Advanced programming skills in R, Python, and experience with open-source platforms
- Excellent problem-solving, communication, and stakeholder management skills
- Proven track record in implementing AI and process automation solutions
- Familiarity with compliance, governance, and risk management frameworks
Qualifications
- Minimum: Bachelor’s Degree in Mathematical Sciences, Statistics, Engineering, Computer Science, Econometrics, Physics, or Actuarial Science
- Preferred: Honours or Masters Degree
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.
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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