influencing Ability to identify the most relevant modelling approach based on the type of problem and available including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) performance approaches in the of the training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
influencing
quantitative model building and data analytics.
deliverables, and design and develop reporting models based on business needs.
long-term viability of the system.
also the long-term viability of the system. Build models around future scenario planning Optimising the Seek opportunities to improve business processes, models and systems though agile thinking. Qualification/s levels of abstraction Excellent modelling skills across all ICT models Good understanding of all levels System Development Life cycle (SDLC) Unified Modelling Language (UML) Rational design toolset application
licencing where a good understanding the licencing model is more important than having technical knowledge
of machine learning frameworks and statistical modelling techniques. Competencies
quantitative model building and data analytics. Experience with machine learning model deployment and
quantitative model building and data analytics. Experience with machine learning model deployment and