influencing Ability to identify the most relevant modelling approach based on the type of problem and available random forest, etc) Data cleaning and pre-processing (Size, data distribution, imputation, removing outliers including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) performance approaches in the of the training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
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
best of both worlds with our hybrid working model, plus epic perks like free lunch on the days you grace
and greatest in digital technology. Hybrid Work Model: Enjoy flexibility with a mix of remote and in-office responsive design will elevate systems to new heights. Plus, your knack for tackling complex challenges with
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
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
each client is unique and solutions are not “one size fits all” This business is attractive to Java Dev's
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