Data Scientist - AI Focus
Job in
Mossel Bay, 6501, South Africa
Listed on 2026-09-05
Listing for:
Placements24
Full Time
position Listed on 2026-09-05
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
About the Role
Our client is looking for a curious and analytical Data Scientist with a strong focus on Artificial Intelligence to join their team in Mossel Bay . You will leverage data to uncover insights, build predictive models, and develop AI-powered features that enhance their products and services. This role involves working with large datasets, applying advanced statistical techniques, and collaborating with cross-functional teams to drive data-informed decisions.
Based in the beautiful Western Cape , this position offers a chance to apply your skills in a growing company that values innovation and data-driven strategy, promoting a culture of discovery and continuous improvement.
- Analyze complex datasets to identify trends, patterns, and opportunities for AI implementation.
- Develop, test, and deploy machine learning models for predictive analytics and decision support.
- Design and implement A/B tests and other experiments to evaluate model performance.
- Collaborate with engineers and product managers to integrate data science solutions into applications.
- Communicate findings and recommendations clearly to technical and non-technical stakeholders.
- Ensure data quality and integrity throughout the analysis and modeling process.
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
- 2+ years of experience as a Data Scientist or in a similar analytical role.
- Proficiency in Python or R, including relevant data science and ML libraries.
- Experience with SQL and database querying.
- Familiarity with machine learning algorithms and their applications.
- Strong problem-solving skills and ability to work with large datasets.
- Competitive salary and performance incentives.
- Health and wellness programs.
- Opportunities for professional growth and skill development.
- A collaborative and dynamic work environment.
- Contribution to innovative AI-driven projects.
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