Data Scientist - AI Specialization
Job in
Centurion, 0014, South Africa
Listed on 2026-09-28
Listing for:
Placements24
Full Time
position Listed on 2026-09-28
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below
About the Role
Our client is looking for a skilled Data Scientist with a specialization in Artificial Intelligence to join their team based in Centurion. This role is critical in extracting valuable insights from complex datasets, developing predictive models, and driving data-informed decision-making across the organization. You will leverage advanced analytical techniques and machine learning algorithms to solve challenging business problems and enhance product offerings.
The position requires a strong analytical mind, a passion for data, and the ability to communicate findings effectively to technical and non-technical stakeholders.
- Analyze large, complex datasets to identify trends, patterns, and actionable insights relevant to business objectives.
- Develop and implement predictive models using statistical methods and machine learning algorithms.
- Design and conduct A/B tests and other experiments to validate hypotheses and measure the impact of changes.
- Create compelling data visualizations and reports to communicate findings to diverse audiences.
- Collaborate with engineering and product teams to integrate data-driven solutions into existing platforms and workflows.
- Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- 3+ years of experience as a Data Scientist or in a similar analytical role.
- Proficiency in programming languages such as Python or R, and SQL.
- Hands-on experience with machine learning libraries (e.g., Scikit-learn, Keras) and statistical modeling techniques.
- Strong understanding of data warehousing, ETL processes, and data visualization tools.
- Attractive salary and performance incentives.
- Comprehensive health and wellness benefits package.
- Retirement savings plan.
- Access to professional development and training opportunities.
- A collaborative work environment focused on innovation and data excellence.
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