marts Experience in Data Vault and Dimensional modelling techniques Experience working in a high availability in an Azure environment Technical Competencies Hands-on experience with some of the following disciplines: Wherescape RED SQL Server Data Vault modelling Dimensional modelling Transact SQL Automation/Scheduling
collaborative, enthusiastic, and enjoy getting their hands dirty with code. If successful, you will have the You will also enjoy a flexible hybrid working model for a satisfying work/life balance. If you're ready
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
scorecards, frameworks and algorithm tuning Expose models and scorecards to other systems (API/Queue) Schedule (automation) Ability to identify the most relevant modelling approach based on the type of problem and available random forest, etc) Ability to train and maintain models Data cleaning and pre-processing (Size, data distribution including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
experience developing backend applications using C# Hands-on experience with Azure cloud services, including similar Strong SQL skills and proficiency in data modelling, data warehousing concepts, and database optimization
influencing Ability to identify the most relevant modelling approach based on the type of problem and available 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:
Responsibilities: Demonstrate expertise in data modelling Oracle SQL Exceptional analytical skills analysing API's is a bonus Knowledge of the Agile Working Model Qualifications and Experience: Relevant IT / Business Build/Pipeline CloudFormation Technical data modelling and schema design (“not drag and drop”) Kafka
full of energy and ambition, hands-on and not afraid of making your hands dirty, this is the right position
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
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