Job Description
About the Role
We are seeking a highly skilled Data Scientist to join our team in Johannesburg. As a key member of our analytics team, you will be responsible for driving business decisions through data-driven insights. You will work closely with actuaries, underwriters, and multidisciplinary teams to embed data science solutions into core business workflows.
Key Responsibilities
- Analyse complex datasets to identify trends, patterns, and actionable insights
- Develop, implement, and validate machine learning algorithms and statistical models
- Build predictive models to uncover insights that support business decisions
- Participate in the design, development, troubleshooting, and support of reporting and analytics platforms
- Collaborate with teams to embed data science solutions into core business workflows
- Develop BI solutions using SQL, ETL scripting, and the Microsoft BI Stack
- Build scalable data pipelines and infrastructure to process structured and unstructured data
- Automate recurring processes and monitor data-related workflows
Requirements
- Bachelor’s degree or diploma in Informatics, Computer Science, Statistics, Mathematics, or Information Technology
- Proven experience as a Data Scientist, ideally within life or non-life insurance
- Proficiency in Python, R, Java, or related programming languages
- Minimum 4 years experience with:
- Power BI (essential)
- Azure Data Factories (essential)
- Azure Synapse Analytics (essential)
- Microsoft SQL Server (critical)
- T-SQL (critical)
- Python/R, C++, C#, Java (critical)
Qualifications
- Strong understanding of statistical concepts, data modelling, and experimental design
- Experience with big data technologies (Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, GCP)
- Ability to communicate complex ideas clearly and collaborate across teams
Salary & Benefits
- Salary: [Salary amount] per annum
- Benefits: [Benefits package, if applicable]
Note: The salary and benefits information is not explicitly mentioned in the original job description. If this information is available, it should be included here. Otherwise, it can be skipped.
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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