Jobs in

Mathematics And Statistics With Salaries Jobs in South Africa

Jobs 1-10 of 26
  •  IT / Computing / Software
  •  Network Finance.

Data Analyst NEW

 Network Finance.Centurion

Education: Honours degree in Mathematics, Statistics or Applied Mathematics Job Experience & Skills


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Data Analyst Centurion NEW

 Network Finance.Centurion

Education: Honours degree in Mathematics, Statistics or Applied Mathematics Job Experience & Skills


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Analyst Johannesburg North

 Network Finance.North Johannesburg

role involves developing and refining rules and statistical models to enhance contractability and improve Qualifications: Education : Bachelor's degree in IT, Mathematics, Statistics, Data Science, or a related field. Experience


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Mdu Analyst

 Network Finance.North Johannesburg

role involves developing and refining rules and statistical models to enhance contractability and improve Qualifications: Education : Bachelor's degree in IT, Mathematics, Statistics, Data Science, or a related field. Experience


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Head Of Bi Johannesburg North

 Network Finance.North Johannesburg

team. Qualifications: Honours Degree in IT/Mathematics/Statistics or equivalent 10 years' experience minimum


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Head Of Bi

 Network Finance.North Johannesburg

team. Qualifications: Honours Degree in IT/Mathematics/Statistics or equivalent 10 years' experience minimum


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Senior Actuarial Executive

 Network Finance.Midrand

Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field (Master's degree preferred)


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Senior Executive Midrand

 Network Finance.Midrand

Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field (Master's degree preferred)


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Fraud Data Scientist NEW

 Network Finance.Central Johannesburg

in Science degree (Applied Mathematics, Financial Mathematics, Statistics or Actuarial) Masters degree used for data analysis. Experience applying statistical modelling techniques to solve complex problems


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Data Scientist Johannesburg Central NEW

 Network Finance.Central Johannesburg

in Science degree (Applied Mathematics, Financial Mathematics, Statistics or Actuarial) Masters degree used for data analysis. Experience applying statistical modelling techniques to solve complex problems


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