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
support high performing ML algorithms, predictive models and support real-time data visualisation requirements metadata and repository creation Translates business needs into long-term architecture solutions. Define, design Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance
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:
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
passionate about innovative energy solutions The current need is for an Azure Backend Developer with expertise on the environment, APPLY TODAY This is what you need to land an interview: Bachelor's degree in Computer similar Strong SQL skills and proficiency in data modelling, data warehousing concepts, and database optimization
also enjoy the flexibility of a hybrid working model and cool company soft perks (such as free lunch) you are in the office per week. This is what you need to land an interview: 8 years' experience in hardcore
You will also enjoy a flexible hybrid working model for a satisfying work/life balance. If you're ready fit the profile below, APPLY NOW Skills You Will Need: C# .NET C++ C Visual Studio Arduino IDE QMS Git
also enjoy the flexibility of a hybrid working model and cool company soft perks (such as free lunch) you are in the office per week. This is what you need to land an interview: You have 6 years' experience
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