Data Scientist - AI Specialization
Job in
Richards Bay, 3900, South Africa
Listed on 2026-09-12
Listing for:
Placements24
Full Time
position Listed on 2026-09-12
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 specialization in AI to join their innovative team in Richards Bay . You will leverage your expertise in statistical analysis, machine learning, and data visualization to uncover insights, build predictive models, and drive data-informed decision-making. This role is crucial for developing and implementing advanced AI solutions that enhance product offerings and optimize business processes.
You will work with diverse datasets and collaborate with cross-functional teams to translate complex data into actionable strategies.
- Develop and implement machine learning models for prediction, classification, and clustering.
- Analyze complex datasets to identify trends, patterns, and anomalies relevant to business goals.
- Design and conduct A/B tests and experiments to validate hypotheses and model performance.
- Communicate findings and insights effectively to technical and non-technical stakeholders through compelling visualizations and reports.
- Collaborate with engineers to deploy models into production environments.
- Stay current with the latest advancements in data science, AI, and machine learning methodologies.
- Master's or Ph.D. degree in Statistics, Data Science, Computer Science, or a related quantitative field.
- Proven experience as a Data Scientist with a strong focus on AI/ML applications.
- Proficiency in programming languages like Python or R, and experience with libraries such as Pandas, Num Py, Scikit-learn.
- Solid understanding of statistical modeling, experimental design, and machine learning algorithms.
- Experience with SQL and working with large datasets.
- Excellent analytical, problem-solving, and communication skills.
- Competitive compensation package, including salary and potential bonuses.
- Comprehensive health and wellness benefits.
- Opportunities for continuous learning and attending industry events.
- A stimulating and collaborative work environment focused on cutting-edge technology.
- The chance to work on impactful projects that drive business innovation.
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