range of predictive models across the entire credit life cycle. Responsibilities: Understand and interpret application of predictive models across the entire credit life cycle. Conduct continuous research aimed at identifying Learner, Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Maths/Financial Risk Management/Data Science/Engineering/Computer Science or related disciplines. An Honours
area Qualifications Bachelors degree in Computer Sciences or Engineering Project Management shortcourse accordance with agreed standards Software Development Life Cycle methodology Document Functional and Technical
Experience with System Development Life Cycle models (Waterfall, Rapid Application Development, Spiral practices, and procedures for full product development life-cycle desired. Highly adaptive and flexible to a
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Bachelor of Science majoring in Computer Science or Information Technology
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Requirements: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Proven experience Azure, or Google Cloud. Certification in AI, Data Science, or Project Management (e.g., PMP). What We Offer:
team Requirements: Bachelor's degree in Computer Science, Engineering, or related field. Minimum of 4 years
bachelor's degree or diploma in Data Science, Statistics, Computer Science, Accounting, or a related field
bachelor's degree or diploma in Data Science, Statistics, Computer Science, Accounting, or a related field
developer on the entire web application development life cycle