software and services aimed at leveraging advances in machine learning and artificial intelligence. aimed at SQL solutions for monitoring and automation of controls. Development of exception reports and Power BI routines that maintain reporting and automated controls. Identify and build appropriate models/other solutions facilitate cross system reporting. Automation of controls in the business processes. Design and implement similar tools Visual Studio Python SQL Power BI Machine learning Google cloud Google Certs (Google analytics)
engines and services by applying strong expertise in machine learning, data mining and conducting information behaviour. Employ advanced data analytics and machine learning techniques to detect fraudulent activity similar 5 years' experience in a data science role Machine learning experience across multiple projects/ doing
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
Engineer with the capabilities of utilising data, machine learning, statistical and mathematical models to enable business use of predictive models Manage controls to enable risk monitoring Implement processes
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
emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI) Technical Environment
testing methodologies. Familiarity with version control systems such as Git. Basic knowledge of containerization
Familiarity with RESTful APIs and Git version control Ability to turn complex technical challenges into