Data Scientist - Predictive Analytics
Listed on 2026-09-07
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
About the Role
Our client is seeking a talented Data Scientist with a specialization in Predictive Analytics to join their dynamic AI & Emerging Technologies team in Rustenburg . This role is crucial for uncovering insights from complex datasets, building predictive models, and informing strategic business decisions. You will work closely with business units to identify opportunities for data-driven improvements and translate analytical findings into actionable recommendations.
This position offers a fantastic opportunity to apply advanced statistical and machine learning techniques in a collaborative environment, directly contributing to the company's competitive edge through data intelligence and innovation within the heart of North West .
- Develop and implement predictive models using statistical analysis and machine learning techniques.
- Analyze large, complex datasets to identify trends, patterns, and actionable insights.
- Design and conduct A/B tests and other experiments to validate hypotheses.
- Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
- Collaborate with engineers to integrate models into production systems and business processes.
- Master's degree or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
- 3-5 years of experience as a Data Scientist with a strong focus on predictive modeling.
- Proficiency in programming languages such as Python or R and SQL.
- Experience with machine learning libraries and frameworks (e.g., Scikit-learn, Tensor Flow).
- Strong understanding of statistical concepts and experimental design.
- Competitive annual salary with performance bonuses.
- Opportunity to work on impactful projects within a leading AI & Emerging Technologies team in Rustenburg.
- Comprehensive health insurance and retirement fund contributions.
- Access to continuous learning resources and professional development opportunities.
- A supportive and innovative work culture focused on data-driven decision-making.
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