Commerce; Business Science; Mathematics; and Statistics Degree GPA - 65% Strong client focus and interest
documents, existing maps and records, reports and statistics Advising Surveyors and other professionals on production, and on the aesthetic, technical and economic considerations of scales, details to be illustrated
documents, existing maps and records, reports and statistics Advising Surveyors and other professionals on production, and on the aesthetic, technical and economic considerations of scales, details to be illustrated
documents, existing maps and records, reports and statistics Advising Surveyors and other professionals on production, and on the aesthetic, technical and economic considerations of scales, details to be illustrated
documents, existing maps and records, reports and statistics Advising Surveyors and other professionals on production, and on the aesthetic, technical and economic considerations of scales, details to be illustrated
cape-town-lc_694/ ESSENTIALS MSc/PhD in (Bio)Statistics OR Data Science , 10 years working experience designing & executing study designs and doing statistical analyses for observational & experimental in-house clinical health expertise, data analytics, statistical and modelling expertise, our client develops leading the team in the design of studies and statistical analyses, to form part of the study protocol data scientists. REQUIREMENTS MSc/PhD in (Bio)Statistics OR Data Science 10 years working experience in
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
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
in business / commerce, development studies, economics or related fields. 8 years' experience in CSR/ESG as relates to the field of sustainability and economic development. Demonstrated experience working with Previous experience in socio-economic development in areas such as local economic development, social and