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
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
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
validating data to enable quantitative analysis for statistical and modelling team. Explore data to understand experience would be beneficial. Data analysis tools. Statistical mythologies and possesses strong business acumen
utilising data, machine learning, statistical and mathematical models to solve business problems
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
(RegEx). Comfortable with baseline statistics and interpreting statistical data. Intermediate or advanced
Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. Proven experience for data analysis and scripting. Knowledge of statistical analysis techniques. Familiarity with data modeling
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