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
(Informatics) - Essential
develop data models and pipelines for research, reporting, and machine learning
business objectives.
Qualifications and Experi
data analysis, machine learning, and predictive modelling.
(Informatics) - Essential
and their validation against the Target Operating Model (TOM), understanding drivers for change, managing business requirements into workable business process models/business process architecture/functional requirements design) are aligned to the client's Target Operating Model (‘TOM') and to resolve exceptions. Work closely
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech systems
requirements, and through a structured process, modelling, validating, and translating it into business using alternative views such as flows, diagrams, models, and use cases when applicable. Business Process
and Optimisation. Database Management Create Data Models in a Structured data format to enable analysis components of the data tables, data queries and data models. Identify valuable data sources and automate collection