degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data
degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data
degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science). Proven large datasets efficiently. Experience with statistical analysis techniques and data modelling. Knowledge patterns, and relationships within the Apply statistical techniques and data visualization methods to technologies in data analysis. Expand knowledge of statistical analysis techniques, data modelling, and data
degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science). Proven large datasets efficiently. Experience with statistical analysis techniques and data modelling. Excellent patterns, and relationships within the data. Apply statistical techniques and data visualization methods to
innovate. Requirements Degree in actuarial science, statistics, mathematics, or engineering Responsibilities
patterns, trends, and anomalies. 2.2 Utilise statistical methods and predictive modelling techniques to