decisions and solutions. This role involves applying statistical, machine learning, and data mining techniques quantitative field such as Computer Science, Statistics, Applied Mathematics, or a related discipline. Minimum of TensorFlow, Scikit-learn, Spark). Proficiency in statistical modelling, machine learning algorithms, and data
cape-town-lc_694/ ESSENTIALS MSc/PhD in (Bio)Statistics OR Data Science , 10 years working experience designing & executing study designs and doing statistical analyses for observational & experimental preferred. Location : Cape Town-based, hybrid role Salary : Based on experience DETAILS Our client is a niche in-house clinical health expertise, data analytics, statistical and modelling expertise, our client develops leading the team in the design of studies and statistical analyses, to form part of the study protocol
Computer Science, Business Informatics, Mathematics, Statistics, Physics or Engineering 5 years of data working semi remotely offering a cost to company salary of up to R1.2m per annum negotiable on experience
Degree in Finance/Actuarial Science/Accounting/Mathematics or similar field with 2 years' work experience Finance, Actuarial Science, Accounting, Mathematics, Statistics, Information Systems or Computer Science
advantageous) Good applied statistics skills, such as distributions, statistical testing, regression, etc Learning and Analytics experience advantageous. Salary: R35 000 – R50 000 p/m with benefits.
Clerk - Kraaifontein, Cape Town – Market Related Salary Customer service – processing orders, handling with irrigation products Key Competencies: Good mathematical/numeracy skills Practical attitude Independence
science, with a postgraduate degree in Statistics/Mathematics or similar. Additional qualifications such
science, with a postgraduate degree in Statistics/Mathematics or similar. Additional qualifications such
Economics, Investments, Engineering, Mathematics and Statistics. Skills/Competencies and Experience:
Economics, Investments, Engineering, Mathematics and Statistics. Skills/Competencies and Experience: