Interrnship starting from 1st September. EE Candidates between 20 and 30 years with a completed qualification (Minimum NQF 5). Technical Support Desk -FTTH and FTTB - Knowledge of Customer Service Conducting research into a wide range of computing issues and Optic Fibre Processes and working practic
plans, processes and standards of Credit Decision Science (Collections, Recoveries, Account Management)
plans, processes and standards of Credit Decision Science (Collections, Recoveries, Account Management) To Experience 4 years' relevant experience in data science Experience must include the following (within the Honours Degree in Mathematics or Data Science Qualifications (Ideal or Preferred) Master's Degree in Mathematics Mathematics or Data Science Knowledge Analytics Predictive Modelling and Machine Learning Project management
Requirements: Sound knowledge in Python and Java Data Science concepts and principles Experience in tools like
Implementation Qualification: Completed BSC Computer Science / Diploma in Development or equivalent Matric symbols
reliable transportation to and from work. The internship is salaried with the possibility of becoming
career opportunity for a Senior Scientist: Mineral Science position within the Mineralogy Division. The candidate contributions. Minimum: MSc / MEng in Data Science, Computer Science, Engineering (Electronic/electrical) or
Bachelor's degree in a related field (e.g., Data Science, Statistics, Mathematics, Computer Science, Economics in a similar field or prior data-related role/internship is preferred. Exposure to data analysis projects projects during academic coursework, internships, or other experiences. Please send your updated CV and skills
COMPETENCIES
EXPERIENCE AND COMPETENCIES 3-year Degree (NQF 7) in Social Sciences/Social Development/Communication/Public