Requirements: A Bachelor’s degree, Master’s or PHD in Statistics, Mathematics, Computer Science, or another quantitative Mathematics and operational research Physics Statistics as degree modules 8 years of relevant technology manipulating data sets and building statistical models Experience using statistical computer languages and strong real-life Demonstrated knowledge of advanced statistical techniques and concepts and experience with applications coordinating across teams Knowledge and experience in statistical and data mining techniques and querying databases
PhD/MS or equivalent in Applied Mathematics, Statistics, Physics, Computer Science or Operations research research background Application of statistical, mathematical, predictive modeling and forecasting techniques
nts:
Bachelor's degree in Statistics or Actuarial Science or Informatics with a minimum
experience in (inter alia) quantitative analytics, statistical analyses, modelling, and machine learning algorithms degree or higher qualification in data science, statistics, computer science, or a related field Excellence Excellence in quantitative analytics, statistical analyses, modelling (incl. forecasting & predictive analytics)
experience manipulating data sets and building statistical models 3 years’ experience working in a data
Information Systems & Systems Analysis Mathematics Statistics Informatics
System, conducting staff training, reporting SHE statistics, and assisting in incident investigations. Additionally training for existing staff. Provide monthly SHE statistics reports to MANCOM. Assist in compiling SHE files
information, statistics, and reports on contracts requested by management • Submit contract statistics to management
information, statistics, and reports on contracts requested by management • Submit contract statistics to management
algorithmic, statistical, and mining techniques. Interprets the results of statistical and predictive