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
stakeholders to understand requirements, design data models, and ensure data integrity, security, and availability Design and develop scalable and efficient data models for relational and non-relational databases. Define knowledge of database design principles, data modeling techniques, and ETL processes. Proficiency in
critical business intelligence data used to develop models for business reporting. You will collaborate closely senior executives, participate in discussions about models and outcomes, and present your findings to various audiences. Your role will involve creating analytical models and delivering comprehensive reports that provide
critical business intelligence data used to develop models for business reporting. You will collaborate closely senior executives, participate in discussions about models and outcomes, and present your findings to various audiences. Your role will involve creating analytical models and delivering comprehensive reports that provide
knack for data analysis. Involving manipulation, modelling and being responsible for the understanding of methods to prepare data for use in prescriptive modelling. Automate work by using process flow tools. Provide data Technical Skills / Expertise Data analysis, modelling and surfacing Data cleaning / Integrity checking
(Informatics) - Essential
business objectives.
Qualifications and Experi
data analysis, machine learning, and predictive modelling.
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech systems
quantitative model building and data analytics.