field 4 years of experience in data analysis, machine learning, and predictive modelling Proficiency business objectives Develop predictive models and machine learning algorithms to forecast customer behaviour
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
emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI) Technical Environment
Linear Programming, Mixed Integer Programming, Machine Learning Experience with Jira and Confluence Experience
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
structured and unstructured data. Advanced statistical/machine learning with applications in the financial technology
tools to manage the infrastructure: Azure Virtual Machines, Virtual Networks, ExpressRoute, Azure Active