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
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
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
possess a Master's/Bachelor's Degree Mathematics/Statistics/Computer Science or similar field with 3 years patterns, and relationships within the data. 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). Experience/Skills large datasets efficiently. Experience with Statistical Analysis techniques and Data Modelling. Proficiency
B Eng Industrial Engineer BSc Mathematics / Statistics (Essential/Minimum) 3 to 7 years in Business Analytics/Data Science/Modelling/Statistics Programming and statistical computer languages (R, Python
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