Statistic Degree Jobs in South Africa
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Intermediate/senior Data Scientist – Johannesburg – R800k Up To R1mil Per Annum
Johannesburg
1000000 Informatics, Applied Mathematics, Statistics
share this job on whatsappSenior Data Scientist Johannesburg
E-merge It RecruitmentJohannesburg
1000000 Sciences, Informatics, Applied Mathematics, Statistics Master's Degree is advantageous 5 years working experience
Actuarial Analyst
Johannesburg
Actuarial Science, Mathematics, Statistics, or a related field (Masters degree preferred)
Fellowship
Senior Data Scientist
Cape Town City Centre
600 000 Key Responsibilities:
- Innovate: Develop and implement cutting-edge models and methodologies.
- Ethical Impact: Ensure responsible and compliant use of data.
- Collaborate: Work with stakeholders to define and meas
Market Research Analyst
Bizgro Sales PlacmentsSouth Africa
effectively · Proficiency in statistical analysis software · Bachelor’s degree in Business, Marketing, Economics
Supply Chain Data Analyst
Johannesburg
800 000
Key Responsibilities:
- Convert raw data into valuable insights through effective data visualization and reporting.
- Design and deliver reports in a timely manner to meet stakeholder needs.
- Guide end users in understanding and utilizing analytical reports.<
Data & Business Insights Analyst
Johannesburg
Computer Science, Statistics, Economics, Business, or a related field. A Master's degree is preferred
Data Analyst
Johannesburg
Science, Statistics, Finance, Economics, Computer Science, or related field. Advanced degree or certification
Data Scientist Durban North
Teichmann Plant Hire Pty LtdSouth Africa
I have an exciting full time opportunity for a Data Analyst / Data Scientist in a Sage X3 ERP environment. Data gathering, cleansing, analysis, presentations Data interpretation Data Visualisation Descision support Report writing - internal and external facing Super charge organisation with valuable
Senior Credit Risk Analyst
Stellenbosch
600 000 Duties and Responsibilities:
- Dive Deep into Data: Uncover key credit risk factors.
- Develop Cutting-Edge Models: Predict consumer defaults with precision.
- Integrate Innovative Models: Enhance our processes for improved outcomes
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