support high performing ML algorithms, predictive models and support real-time data visualisation requirements methodology. Knowledge of retail industry data models. Advanced knowledge of compliance and IT governance Stakeholder Management. Data Architecture, Data Modelling and Data Pipelining. Solutions Architecture. ATTRIBUTES:
compliance, and adherence of the ADfusion/Client model in liaison with client management. This will include
policies and procedure as per ADfusion and Client
model;
optimize SQL scripts, stored procedures, and data models for data integration and transformation tasks. Reporting:
Your
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
relevant to business objectives. Develop predictive models and machine learning algorithms to forecast customer teams to analyse large datasets, develop predictive models. Qualifications and Experience: Bachelor's or Master's data analysis, machine learning, and predictive modelling. Proficiency in programming languages such as
stakeholders.
senior stakeholders. Develop scenarios, navigation models and prototypes for demonstration of concepts. Maintain ideas through drawing, digital tools, prototyping, model making etc. (2) years' experience conducting audience ideas through drawing, digital tools, prototyping, model making etc. (2) years' experience in each of the
managing applications on Kubernetes clusters - Data modeling and Database technologies (relational, document with the agreed hours of operation within a shift model - Usage of automation tools to monitor and observe Stories in line with the organizational Agile Working Model - Supports the Product owner to shape the Product
managing applications on Kubernetes clusters - Data modeling and Database technologies (relational, document with the agreed hours of operation within a shift model - Usage of automation tools to monitor and observe Stories in line with the organizational Agile Working Model - Supports the Product owner to shape the Product
applications on Kubernetes clusters
- Data modeling and Database technologies (relational, document
with the agreed hours of operation within a shift model
- Usage of automation tools to monitor and
Stories in line with the organizational Agile Working Model
- Supports the Product owner to shape the Product