utilising data, machine learning, statistical and mathematical models to solve business problems and
of utilising data, machine learning, statistical and mathematical models to solve business problems and model data preparation. Responsibilities: Build statistical models Manage the development of credit policies Qualifications: Degree in Computer Science/ Engineering/ Mathematics/ Business Commerce/ Information Technology Skills: position in Johannesburg offering a salary from R700k to R900k CTC salary negotiable based on experience.
queries. • Honours degree in Mathematical Statistics or Applied Mathematics. • Other postgraduate qualifications qualifications with a numerical and statistical aspect and/or experience will be considered. • Min 4 - 6
analysis Requirements: Bachelor's degree in Mathematics, Statistics, Computer Science, or related field Proven Data Analyst or similar role Proficiency in statistical analysis tools such as R, SAS, or SPSS Strong career-changing move. Salary: negotiable. Our client is offering a highly competitive salary for this role based
visualization techniques and platforms. Applying statistics, machine learning, and analytical approaches Information Systems, Actuarial Sciences, Applied Mathematics, Statistics). Candidates without a Computer Science Solid theoretical predictive modelling, mathematical and statistical skills. Proficient in SQL. 5 years of advantageous. Highly analytical with strong maths and statistics skills. Experience using business intelligence
quality. Employ sophisticated analytics and statistical methods to prepare data for use in prescriptive or Data Warehousing knowledge (advantageous) Statistical languages (such as R and Matlab) (advantageous) IT or Informatics related degrees, Mathematics, Applied Mathematics, Actuarial Science or an Engineering
must possess a Degree in Actuarial Science/Statistics/Mathematics or Engineering with proficiency in Google Qualifications – Degree in Actuarial Science, Statistics, Mathematics, or Engineering. Experience/Skills - Be
BEng / Honours / Masters in Mathematics/ Financial Mathematics / Statistics / Actuarial Sciences / Engineering
must possess a Master's/Bachelor's Degree Mathematics/Statistics/Computer Science or similar field with 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 Bachelor's Degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science) large datasets efficiently. Experience with Statistical Analysis techniques and Data Modelling. Proficiency