opportunities through statistical, algorithmic, machine learning and visualisation techniques. Execute intelligent automation and predictive modelling. Build machine learning models from and utilises distributed data processing and analysis methodologies. Competent in Machine Learning programming in R or Python, with supplementary
business objectives. Develop predictive models and machine learning algorithms to forecast customer behaviour technologies and best practices in data science, machine learning, and artificial intelligence. Translate field. 2 years of experience in data analysis, machine learning, and predictive modelling. Proficiency
software systems for the business's future driving machines. You will be required to be proactive and be able
required to build both predictive and prescriptive machine learning models that will assist with increasing
Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving
operations Trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI) Expert knowledge of
models and pipelines for research, reporting, and machine learning Model front-end and back-end data sources