Senior Data Scientist - AI & Ops Optimization (6-mo)

Catalyst24; City of Johannesburg Metropolitan Municipality; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

Catalyst24 is seeking a Senior Data Scientist in Johannesburg to lead AI-driven solutions for large-scale operational environments. Expect hands-on ML development, predictive analytics, and optimization across business challenges.

The role emphasizes collaboration with stakeholders, data engineers, and engineering teams to translate complex problems into scalable AI deployments. Ideal candidates will have substantial Python experience, ML algorithm mastery, time-series forecasting, and strong

Qualifications

• 8-12+ years of experience in Data Science, ML and Advanced Analytics.
• Strong hands-on Python and data science ecosystem experience.
• Deep understanding of ML algorithms and model development.
• Experience with production ML: deployment, monitoring, lifecycle management.

Responsibilities

• Design, develop, and deploy ML/AI models for business and operational optimization.
• Collaborate with stakeholders and engineering teams to identify AI opportunities.
• Analyze large datasets to generate actionable insights and recommendations.
• Build predictive, prescriptive, and optimization models for efficiency.
• Develop data pipelines and model deployment strategies with Data Eng teams.
• Monitor and improve model performance in production environments.
• Present findings to technical and non-technical audiences.
• Support AI solution architecture across the project lifecycle.

Skills

Python

Machine Learning

Time-Series Forecasting

SQL

Azure Machine Learning

MLOps

Data Mining

Predictive Analytics

Data Engineering

Stakeholder Management

Client-facing

Problem Solving

Tools

Azure Machine Learning

Job description

Catalyst24 is seeking a Senior Data Scientist in Johannesburg to lead AI-driven solutions for large-scale operational environments. Expect hands-on ML development, predictive analytics, and optimization across business challenges.

The role emphasizes collaboration with stakeholders, data engineers, and engineering teams to translate complex problems into scalable AI deployments. Ideal candidates will have substantial Python experience, ML algorithm mastery, time-series forecasting, and strong