Randburg AI Data Scientist — Hybrid, Impactful Insights

Placements24; Southampton; Hybrid; GBP 41,000 - 59,000; Full time

Job summary

Placements24 in Randburg, Gauteng is seeking an AI Data Scientist to uncover patterns in complex datasets, build predictive models, and deliver actionable insights that guide business decisions.

The role collaborates with engineers and product managers to apply machine learning techniques, evaluate models, and deploy data science solutions in production, with a culture of continuous learning and innovation.

Qualifications

• Master's or PhD in Data Science, Statistics, CS, Math or related field.
• 2–4 years of professional data science or analytical experience.
• Proficiency in Python or R and data science libraries (pandas, NumPy, scikit-learn).
• Strong ML algorithms and statistical modeling knowledge.
• Experience with SQL and relational databases.
• Big data tech (Spark) and cloud platforms (AWS/Azure/GCP) a plus.
• Excellent analytical, problem-solving and communication skills.

Responsibilities

• Analyze large, complex datasets to identify trends and insights.
• Develop, train, and evaluate ML models for prediction/classification/clustering.
• Deploy data science solutions into production environments.
• Collaborate with stakeholders to define data science projects.
• Communicate complex findings clearly to technical and non-technical audiences.
• Design experiments to test hypotheses and validate model performance.
• Contribute to data pipelines and data quality initiatives.
• Stay updated on latest data science and AI advancements.

Skills

Python

R

pandas

NumPy

scikit-learn

SQL

Spark

Cloud platforms

Machine Learning

Communication

Education

Master's or Ph.D. in Data Science/Statistics/CS/Math

Tools

Jupyter

Job description

Placements24 in Randburg, Gauteng is seeking an AI Data Scientist to uncover patterns in complex datasets, build predictive models, and deliver actionable insights that guide business decisions.

The role collaborates with engineers and product managers to apply machine learning techniques, evaluate models, and deploy data science solutions in production, with a culture of continuous learning and innovation.