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Data Scientist Jobs in Johannesburg, Gauteng

Jobs 1-10 of 30

Data Scientist

 Bashr ConsultingJohannesburg  R850 000

Specification: Data Scientist Position: Data Scientist Job Summary: As a Data Scientist, you will be responsible a related field. 2. Proven experience as a Data Scientist or similar role, preferably in a business or


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Data Scientist

 Rpo RecruitmentJohannesburg

Insurance industry is looking for their next Data Scientist This role is available in both JHB and CT In


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Data Scientist

 Rpo RecruitmentJohannesburg  R700 000

Insurance industry is looking for their next Data Scientist Are you interested? Join their team today Requirements:


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Data Scientist

 Rpo RecruitmentJohannesburg  R600 000

Services/Insurance industry is looking for a new Data Scientist to join their team Are you interested? View


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Data Scientist NEW

 MinopexJohannesburg

operational sites across the EMEA region. The Data Scientist will be a valuable member of a dynamic department and presentations. Collaborate with other data scientists, engineers, and business analysts to develop


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Data Scientist Johannesburg

 Pillar South AfricaJohannesburg

non-technical audiences. Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous


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Statistical Data Scientist

 Hire ResolveJohannesburg

insurance company is looking for a Statistical Data Scientist to join their team in Johannesburg In this


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Senior Data Scientist

 Bashr ConsultingJohannesburg  R750 000

Our client is actively looking for a Senior Data Scientist to provide innovative ways to support the implementation


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Senior Data Scientist

Johannesburg

  • Proficient in Python and PySpark.
  • Familiar with software engineering practices, unit testing, and version control
  • Able to align business problems with data science solutions and suggest experimentation and implementation strategies
  • Skilled in SQL and familiar with dis


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Senior Data Scientist Rosebank

 Hr InsyncSouth Africa  R59 000 - R85 000 Ctc Per Month

Purpose Communicating prioritised data-driven analyses, modelling, and algorithms. The incumbent manage complex data projects collaboratively, drawing on excellence and experience in (inter alia) quantitative analytics, statistical analyses, modelling, and machine learning algorithms, as well as dat


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