Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms data for modelling Work with data engineering teams to ensure data availability and quality Model Evaluation Deployment: Evaluate model performance and fine-tune models for improved accuracy Deploy models in production Implement best practices for model version control and management Ensure proven models are integrated into business requirement for human intervention to implement the model within their respective businesses Cross-Functional
focus on Prescriptive Analytics and Predictive Modelling. ● Engage with internal business clients with ● Create algorithms and build machine learning models to enhance product offerings and solve business systems to track model performance. ● Presentation of data science opportunities and model outcomes to a ● Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP
reporting
performance full stack applications; integrating AI models and solutions into existing and new platforms and Github Actions / Jenkins Any experience in data modelling / manipulation R100k to R120k pm
Job Purpose To develop and maintain best practice models and assessment strategies in line with regulations expectations by liaising with stakeholders through the model build process as well as the systems and strategy interacting with external bodies. The challenge model builds from around the cluster through peer review Seek opportunities to improve business processes; models and systems by identifying and recommending effective action where risk is identified in any processes; models or reporting; through analysis and formal communication
understanding of dimensional models.
cutting-edge analytical insights, including predictive modeling. Design and implement programs to optimize communication operational excellence within our retention call center model. Leverage your consumer marketing experience to ability to leverage segmentation and predictive modeling to drive results. If you're ready to make your
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
cutting-edge analytical insights, including predictive modeling. Design and implement programs to optimize communication operational excellence within our retention call center model. Leverage your consumer marketing experience to ability to leverage segmentation and predictive modeling to drive results. If you're ready to make your
Qualifications and Experience:
Build/Pipeline