language (Python) Proficiency with building predictive models in a suitable programming language, as well as to Machine Learning programs. Strong Financial Modelling experience. Highly skilled at simplifying complex
machine learning algorithms, and statistical modeling Strong analytical and problem-solving skills with
Lead Automation Engineer Location: Sandton Working Model is Hybrid Required Experience as follows: ISTQB
and other database schema objects. Maintain data model schema within the data warehouse and reporting systems
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
Facilitation Skills Data Modelling based on Entity Diagram Mapping Repository-Based Modelling tools i.e., ARIS
Facilitation Skills Data Modelling based on Entity Diagram Mapping Repository-Based Modelling tools i.e., ARIS
● Experience or familiarity with data science model operationalisation on-prem or in the cloud (GCP Skills ● Strong data exploration, analytical, modelling, and reporting skills ● Strong communication and
iterative improvements to the back-end systems Model front-end and back-end data sources to help draw that clean, transform, and aggregate data. Develop models that can be used to make predictions and answer
writing (conceptual to final stages), market demand models and Client interaction Retail Feasibility Reports