Requirements:
12.Honours degree in Mathematical Statistics or Applied Mathematics.
13.Other postgraduate
postgraduate qualifications with a numerical and statistical aspect and/or experience will be considered.
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
organization. Predictive Analytics: Utilize advanced statistical and machine learning techniques to develop predictive non-relational database systems. Statistical Analysis: Advanced knowledge of statistical methods, hypothesis testing Bachelor's degree in Computer Science, Data Science, Statistics, Economics, or related field. Advanced degree
skills
engineering, data preparation, development of statistical models, strategy development, monitoring and
engineering, data preparation, development of statistical models, strategy development, monitoring and
nts:
Bachelor's degree in Statistics or Actuarial Science or Informatics with a minimum
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
39;s degree in Actuarial Science/Mathematics/Statistics