documenting and enhancing a range of predictive models across the entire credit life cycle. Responsibilities: in the development and application of predictive models across the entire credit life cycle. Conduct continuous research aimed at identifying predictors and enhancing model development practice and techniques. Monitor and Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving & Analytical, Python Programming Understanding & knowledge of predictive modelling practices, performance standards & methodologies
to develop data models and pipelines for research, reporting, and machine learning Model front-end and analysts and BI analysts for reporting. Develop models that can be used to make predictions and answer
marts Experience in Data Vault and Dimensional modelling techniques Experience working in a high availability Wherescape RED SQL Server Data Vault modelling Dimensional modelling Transact SQL Automation/Scheduling
understanding of dimensional models. Conventional database- and data warehouse modeling skills, in order to understand understand the data warehouse data models. Terra Data QlikView Power BI SQL Server The Reference Number
both predictive and prescriptive machine learning models that will assist with increasing strategic and and recommendations based on data analysis and modeling concluded and where relevant with knowledge and
functions) Knowledge and experience of data warehouse modelling methodologies Experience in using MS SSIS and designing solutions and good knowledge of data modelling concepts Experience of working in a team following
support high performing ML algorithms, predictive models and support real-time data visualisation requirements Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance
iterative improvements to the back-end systems Model front-end and back-end data sources to help draw that clean, transform, and aggregate data. Develop models that can be used to make predictions and answer
validation and verification Techniques. Develop models to transform data from source to target for analytical
you'll enjoy the flexibility of a hybrid work model—two days in the office per week—and access to company