Job Description
About the Role
We are seeking a skilled Data Scientist to join our team in Johannesburg, where you will play a critical role in driving business growth through data-driven insights. As a key member of our analytics team, you will be responsible for developing and implementing predictive models, analyzing complex datasets, and collaborating with cross-functional teams to drive business outcomes.
Key Responsibilities
- Analyse complex datasets to identify trends, patterns, and correlations
- Develop, implement, and validate machine learning algorithms and statistical models
- Build and operationalise predictive models to generate actionable insights
- Design and support reporting and analytics platforms
- Develop BI solutions using SQL, ETL scripting, and Microsoft BI tools
- Build scalable data pipelines for structured and unstructured data
- Automate recurring data and reporting processes
- Collaborate with cross-functional teams including actuaries, underwriters, and analysts
- Translate business requirements into analytical and data science solutions
- Monitor, troubleshoot, and support analytics and BI environments
Requirements
- Education: Bachelor’s Degree or Diploma in Informatics, Computer Science, Statistics, Mathematics, Information Technology or related industries
- Experience: 4 years experience as a Data Scientist or in a similar analytics-focused role
- Strong experience developing Business Intelligence solutions in mid-size or large environments
- Extensive experience with T-SQL and Microsoft SQL Server
- Hands-on experience with Power BI, Azure Data Factory, Azure Synapse Analytics (essential)
- Strong programming experience with Python or R (Java / C# advantageous)
- Experience with machine learning libraries (TensorFlow, PyTorch, scikit-learn)
- Strong understanding of statistical concepts, data modelling, and experimental design
- Experience working with big data technologies (Spark, Hadoop, Kafka advantageous)
- Exposure to cloud platforms (Azure, AWS, or GCP)
Qualifications
- Formal education/certifications not specified
Salary & Benefits
- Salary range not specified
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.
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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