to apply data mining techniques and conduct statistical analysis to large, structured and unstructured discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation Information Studies/Information Technology Post Graduate Degree in Information Studies/Information Technology
capabilities of utilising data, machine learning, statistical and mathematical models to solve business problems model data preparation. Responsibilities: Build statistical models Manage the development of credit policies
business. Qualifications and Experience: Degree in Statistics/Computer Science/ Engineering/ Mathematics 4
Analytical, Python Programming, R Code, SQL, Statistical Data Analysis Qualifications and Experience:
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field 4 years of experience
Deep Learning, AI) Technical Environment Post graduate qualification (advantageous) Experience Requirement
make actionable recommendations of database, statistical and report findings Provide guidance to other
analytical reporting solutions. Develop actuarial / statistical models to enable data driven decision making
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 2 years of
accuracy, completeness, and consistency. Utilise statistical techniques and data mining algorithms to analyse