Information Studies/Information Technology Post Graduate Degree in Information Studies/Information Technology unstructured data. Experience with common data science toolkits, such as SAS, R, SPSS, etc Knowledge of
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
develop metrics for measuring the success of data science initiatives. Design and implement data visualisation emerging technologies and best practices in data science, machine learning, and artificial intelligence Experience: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 2
pipelines. Responsibilities: Help streamline our data science and analytics workflows by improving data delivery particularly our reporting DB. Work closely with the data science and business intelligence teams to develop data and Experience: Bachelor's degree in computer science, information technology, engineering, or related
ahead of the curve on data science trends and leading practice data science tools and techniques and transition
Requirements: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field 4 develop metrics for measuring the success of data science initiatives Reference Number for this position
Deep Learning, AI) Technical Environment Post graduate qualification (advantageous) Experience Requirement
Computer Science, Information Technology, or similar 5 years' experience in a data science role Machine
Statistics/Informatics, Computer Science, B.Eng. (Computer Science) Strong background in mathematics
Qualifications and experience 3-year IT related degree Post graduate qualification (advantageous) 5 years' Experience