responsibilities assigned in the Agile Working Model (AWM) Charter ADVANTAGEOUS SKILLS REQUIREMENTS: experience Architecture: Cloud, On-prem, hybrid, data modelling, SW-Architecture QUALIFICATIONS / EXPERIENCE NEEDED:
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
Working Model (AWM) Charter ADVANTAGEOUS SKILLS REQUIREMENTS: Demonstrate expertise in data modelling Oracle Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Kafka network issues. · Knowledge of the Agile Working Model. WHICH QUALIFICATIONS/EXPERIENCE DO WE NEED FOR
deploying BI solutions (e.g., data warehousing models) and creating visualizations and reports for requested SSRS, Excel
statistical models and algorithms for actuarial assessments • Use of predictive modelling techniques to healthcare analytics. • Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. • Contribute to research and development projects plus. • A keen interest in AI and predictive modelling, with the ability to apply these technologies
statistical models and algorithms for actuarial assessments • Use of predictive modelling techniques to healthcare analytics. • Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. • Contribute to research and development projects plus. • A keen interest in AI and predictive modelling, with the ability to apply these technologies
KPAs: Analytical Modeling: Translate business requirements into suitable analytical models, extracting trends to address short-term insurance metrics. Present model functionality to relevant stakeholders upon request oversee user-acceptance testing of Data Visualisation models. Administer the business intelligence management analytics reports, extracting insights from BI models for stakeholders. Stakeholder Engagement: Build
cases. 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 variety (must). Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP and Skills Strong data exploration, analytical, modeling, and reporting skills Strong communication and
understanding of database technologies, data modelling, and optimisation techniques. The successful candidate systems to meet the organisation's needs Develop data models and optimise database performance Ensure data integrity database management systems Experience with data modelling, performance tuning, and optimisation Strong problem-solving
role in designing, developing, and implementing AI models and algorithms to solve complex business challenges Responsibilities: Create, build, and deploy AI models and algorithms to meet business requirements. Employ techniques. Prepare and sustain documentation for AI models, processes, and tools. Offer technical expertise