AI Data Scientist – Hybrid Role with Predictive ML

Placements24; Mossel Bay; Hybrid; ZAR 700,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Performance bonus

Professional development

Health & retirement benefits

Job summary

Placements24 in Mossel Bay is seeking a talented Data Scientist with AI specialization to join our client’s team. You will analyze data, build predictive models, and develop AI-driven solutions that improve business performance.

You will work with large datasets, apply advanced statistics and ML techniques, and communicate findings to both technical and non-technical stakeholders. This hybrid role offers in-office and remote flexibility and opportunities for professional development.

Qualifications

• Master's or Ph.D. in Statistics, Data Science, CS, or related field.
• Proficiency in Python or R and common data science libraries.
• Hands-on ML, AI modeling, and statistical analysis experience.
• Experience with SQL/NoSQL databases and data manipulation.
• Familiarity with big data tools and cloud platforms is a plus.

Responsibilities

• Explore, clean, and analyze large datasets to identify trends and insights.
• Develop, test, and deploy ML models for predictive and prescriptive analytics.
• Design experiments to validate hypotheses and measure AI impact.
• Collaborate with cross-functional teams to translate business challenges into data problems.
• Communicate findings clearly through visualizations and reports.
• Stay updated with advances in data science, ML, and AI.

Skills

Analytical Thinking

Communication

Problem Solving

Education

Master's or PhD in Statistics/Data Science/CS

Tools

Python

R

SQL/NoSQL

Big Data Technologies

Cloud Platforms

Job description

Placements24 in Mossel Bay is seeking a talented Data Scientist with AI specialization to join our client’s team. You will analyze data, build predictive models, and develop AI-driven solutions that improve business performance.

You will work with large datasets, apply advanced statistics and ML techniques, and communicate findings to both technical and non-technical stakeholders. This hybrid role offers in-office and remote flexibility and opportunities for professional development.