Qualifications: Suitable Bachelor's degree in Electrical or Mechatronic Engineering (BSc or BEng)
i>Masters Degree: In Statistics, Data Science, Actuarial Science, or related field.
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tactics, technological applications, and behavioural sciences to help senior management make data driven decisions Honours Degree in Data Science, Mathematics or Engineering (Minimum) Master's Degree in Data Science, Mathematics
tactics, technological applications, and behavioural sciences to help senior management make data driven decisions Honours Degree in Data Science, Mathematics or Engineering (Minimum)
Experience
plans, processes and standards of Credit Decision Science (Collections, Recoveries, Account Management) To risk indicators. Qualifications (Minimum) Honours Degree or equivalent in a quantitative discipline or STEM Engineering, Computer Science with focus on Machine Learning (Minimum) Master's degree or equivalent in a Mathematics, Statistics, Engineering, Computer Science with focus on Machine Learning) (Ideal) Experience Experience 4 years' relevant experience in Data Science Experience must include the following (within the Retail
plans, processes and standards of Credit Decision Science (Collections, Recoveries, Account Management)
graduate/postgraduate who has completed an Accounting/Auditing degree at a SAICA-accredited university. The firm is looking self-confident individual with a completed accounting degree, who likes to work as part of a team, but is also Experience: BAccounting, BAccHons degree, Postgraduate Diploma in Accounting Sciences, Postgraduate Diploma in in Applied Accounting Sciences. Computer literacy. Ability to work in a team. Excellent attention to detail
Qualifications:
a. Bachelors Degree in Electronic, Mechatronic or Mechanical Engineering (BSc Eng/BEng or equivalent)
Recommended Skills and Experience:
a. Masters Degree in Mechatronic / Mechanical or Electronic Engineering