teams to understand business problems, develop models that drives automation, predictive analytics, advanced external data providers. Design and implement data modelling, data mining, and machine learning algorithms maintain predictive and prescriptive analytical models to support decision-making and drive business value and data transformation to prepare data for modelling and analysis. Utilize data visualization techniques audiences. Continuously evaluate and optimize existing models, algorithms, and data sources to improve accuracy
performance full stack applications; integrating AI models and solutions into existing and new platforms and Github Actions / Jenkins Any experience in data modelling / manipulation R100k to R120k pm
support high performing ML algorithms, predictive models and support real-time data visualisation requirements Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance
Johannesburg and Durban offices Maintain spreadsheet models to perform the required reviews. Review and evaluate
arrangements, embracing both remote and hybrid models to cater to our staff's preferences. However, as into technical ones. Report curation and data modelling. Participation in data warehouse design. Design experience with data warehouse design and data modelling. You have a strong understanding of ETL processes
agreed frequency per client. Maintain spreadsheet models to perform the required reviews. Review and evaluate
agreed frequency per client. Maintain spreadsheet models to perform the required reviews. Review and evaluate
Waterfall) and techniques (e.g., process modelling, data modelling, use case analysis). Excellent analytical
Waterfall) and techniques (e.g., process modelling, data modelling, use case analysis). Excellent analytical
abilities. Proficiency in data analysis, cost modelling, and spend management tools and techniques. Strong