and experienced Data Modeler to join our dynamic team at iOCO. As a Data Modeler, you will play a crucial in designing, implementing, and maintaining data models that facilitate efficient storage, retrieval, and requirements and translate them into robust data models.
Â
What you’ll do:models to support business requirements and data analysis
requirements and translate them into effective data models.
/>
Reference: JHB001514-MS-1 Jobe Title: DATA MODELLER -FIN SURV Purpose of the job: To lead, define and and drive the improvement of data modelling and development of data maturity standards within Financial areas: Lead modelling design, implementation, and documentation of ISO20022 data modelling solutions which databases. Conduct an assessment on ISO 20022 data modelling and data development maturity levels within the processes, procedures and promote ISO 20022 data modelling awareness across the organisation to ensure appropriate
graphical source material, including aerial photographs, satellite imagery, survey documents, existing
graphical source material, including aerial photographs, satellite imagery, survey documents, existing
graphical source material, including aerial photographs, satellite imagery, survey documents, existing
graphical source material, including aerial photographs, satellite imagery, survey documents, existing
science projects analytics and machine learning models to address business challenges and generate actionable build models, and embed models into software-driven business processes Data Analysis and Modeling: Develop for modeling Ensure data availability and quality Model Evaluation and Deployment: Evaluate model performance performance and fine-tune models for improved accuracy Deploy models and monitor their ongoing performance Implement best practices for model version control and management Integrate proven models into business processes
using sophisticated analytics and machine learning models to address difficult business challenges and generate departments to design data strategies, build models, and embed those models into software-driven business processes Analysis and Modelling: - Develop and deploy machine learning and artificial intelligence models and algorithms for modelling. - Work with data engineering teams to ensure data availability and quality. Model Evaluation - Evaluate model performance and fine-tune models for improved accuracy. - Deploy models in production
and Modelling: