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the POPI Act (Act No. 4 of 2013: Protection of Personal Information Act, 2013). Section 9 of PoPI states
visualization techniques and platforms. Applying statistics, machine learning, and analytical approaches Systems, Actuarial Sciences, Applied Mathematics, Statistics). Candidates without a Computer Science, Engineering theoretical predictive modelling, mathematical and statistical skills. Proficient in SQL. 5 years of experience advantageous. Highly analytical with strong maths and statistics skills. Experience using business intelligence
degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data
actionable insights. - Development and maintenance of statistical models and algorithms for actuarial assessments skills: - Bachelor's Degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science analytical, mathematical/statistical, and problem-solving skills. - Proficiency in statistical software, programming
actionable insights. - Development and maintenance of statistical models and algorithms for actuarial assessments skills: - Bachelor's Degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science analytical, mathematical/statistical, and problem-solving skills. - Proficiency in statistical software, programming
Analytics/Data • Science/Modelling/Statistics • Programming and statistical computer languages (R, Python management and organisational skills • Knowledge of statistical modelling and data mining techniques i.e. Regression network analysis etc. • Querying databases using statistical computer languages i.e. R, Python, SQL, • etc
degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data
the POPI Act (Act No. 4 of 2013: Protection of Personal Information Act, 2013). Section 9 of PoPI states
data queries. • Honours degree in Mathematical Statistics or Applied Mathematics. • Other postgraduate postgraduate qualifications with a numerical and statistical aspect and/or experience will be considered. • Min 4