Data Scientist - AI Focus
Job in
Richards Bay, 3900, South Africa
Listed on 2026-09-07
Listing for:
Placements24
Full Time
position Listed on 2026-09-07
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
About the Role
Our client is seeking a talented and analytical Data Scientist with a strong focus on AI and Emerging Technologies to join their innovative team in Richards Bay, Kwa Zulu-Natal. This role is integral to uncovering insights from complex datasets, developing predictive models, and deploying AI-driven solutions that provide a competitive edge. You will work on challenging problems, collaborating with engineers and business leaders to transform data into actionable strategies and innovative products.
This is an excellent opportunity to contribute to a company that values data-driven decision-making and invests in pioneering technological advancements.
- Analyze large, complex datasets to identify trends, patterns, and insights relevant to business objectives.
- Develop, validate, and deploy machine learning models for tasks such as prediction, classification, clustering, and anomaly detection.
- Design and conduct experiments to test hypotheses and evaluate the performance of AI models.
- Communicate findings and recommendations effectively to both technical and non-technical stakeholders through reports and presentations.
- Collaborate with data engineers and software developers to implement and operationalize data science solutions.
- Master's degree or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
- 3+ years of professional experience as a Data Scientist, with a demonstrable focus on AI/ML applications.
- Proficiency in programming languages such as Python or R, and extensive experience with data science libraries (e.g., Pandas, Num Py, Scikit-learn, Tensor Flow, PyTorch).
- Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with data visualization tools and techniques to present complex information clearly.
- Competitive salary and potential for performance bonuses.
- Exposure to diverse and challenging AI projects.
- Comprehensive medical and retirement benefits.
- Opportunities for continuous learning and professional growth in data science and AI.
- A hybrid work model offering flexibility for employees in Richards Bay.
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