support high performing ML algorithms, predictive models and support real-time data visualisation requirements kept up to date Conduct data design, database architecture, metadata and repository creation Translates Translates business needs into long-term architecture solutions. Define, design and build dimensional databases in Python or R or willingness to learn. SAP architecture, implementation and operations Trends across Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance
support high performing ML algorithms, predictive models and support real-time data visualisation requirements kept up to date Conduct data design, database architecture, metadata and repository creation Translates Translates business needs into long-term architecture solutions. Define, design and build dimensional databases In-depth knowledge and experience of Retail SAP architecture, Strong networks and knowledge of emerging trends Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance
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:
you'll enjoy the flexibility of a hybrid work model—two days in the office per week—and access to company software development Experience with Microservices architecture The Reference Number for this positio n is BRM58915
You will also enjoy a flexible hybrid working model for a satisfying work/life balance. If you're ready Developer 2 years' experience in system and architecture design The Reference Number for this positio
support high performing ML algorithms, predictive models and support real-time data visualisation requirements In-depth knowledge and experience of Retail SAP architecture, implementation and operations and strong networks
developing backend applications. Architecture and Interface Design. Data modeling and Database technologies
Familiarity with Microservices Architecture, Cloud Architecture and Container Architecture. Experience in implementing Github actions and Helm chars. Well versed in architecture and technical patterns: GitOps operators (ArgoCD
Familiarity with Microservices, Cloud Architectures and Container Architectures e.g., Docker Azure Steering / / Setup of new solutions and architecture experience Experience with Container Orchestration Platforms
data lake architecture and technologies Experience in Data Vault and dimensional modelling techniques