Data Science Developer (Retail) - Bryanston/Centurion
Core
Designing scalable data architectures, building robust data pipelines, and developing/deploying machine learning models and analytical solutions for retail and insurance clients.
Role type
Senior Machine Learning Engineer / Data Science Developer
Builds
Production ML models, data pipelines, and decision-support tools
Domain
Retail and Insurance
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Power BI, data architecture, ETL/ELT, machine learning model development and deployment, data modeling, performance optimization, software engineering best practices
Preferred skills
Postgraduate degree in Statistics/Mathematics/CS/Data Science, experience with logistical/geographic data, advanced Excel, Agile methodologies
Technologies
SQL, Python, Power BI
Responsibilities
Design and improve data architectures for advanced analytics and ML; Build and maintain data pipelines for multi-source data ingestion; Develop, deploy, and maintain ML models and analytical solutions; Collaborate with stakeholders to deliver high-impact data solutions; Investigate new data sources and technologies for commercial opportunities; Translate business challenges into technical solutions; Analyze and communicate complex data to support decision-making
Seniority
Senior, hands-on IC
