control units and other complex sub-systems;
b. Formal design, development, implementation and verification
Experience:
a. C or C++ proficiency or experience;
b. Linux proficiency or experience;
c. FPGA development
equivalent) Programming experience highly recommended;
b. Hardware debugging tools (logic analysers and scopes)
quickly and absorb new information rapidly;
b. Ability to work as part of a team and collaborate
implementations, and accompanying documentation;
b. Collaborate with system engineers to devise system-level
relevant industry or postgraduate experience;
b. Excellent problem-solving skills;
c. Excellent
quickly and absorb new information rapidly;
b. Ability to work as part of a team and collaborate
function
aerospace and safety standards and guidelines;
b. Liaise with client and translate client requirements
relevant industry or postgraduate experience
b. Excellent problem-solving skills;
c. Excellent
quickly and absorb new information rapidly;
b. Ability to work as part of a team and collaborate
Degree: In Statistics, Data Science, Actuarial Science, or related field.
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QUALIFICATION & EXPERIENCE
QUALIFICATION & EXPERIENCE
plans, processes and standards of Credit Decision Science (Collections, Recoveries, Account Management) To Mathematics, Statistics, Engineering, Computer Science with focus on Machine Learning (Minimum) Master's 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)