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
ensure database integrity, and develop custom data models. Key Responsibilities: Data Analysis : Analyze database technologies. Custom Data Models : Develop custom data models to apply to data sets. Automation:
ensure database integrity, and develop custom data models. Key Responsibilities: Data Analysis : Analyze database technologies. Custom Data Models : Develop custom data models to apply to data sets. Automation:
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
measures Building and deploying machine learning models Ensuring data quality and integrity through the Strong understanding of distributed systems, data modelling, and data warehousing concepts. The role requires
part of a multi-disciplinary engineering team. Modelling and draughting using AutoCAD and Civil 3D. Production (Non-Negotiable) Autodesk Revit (Added Advantage) Model Maker Systems (Added Advantage) Basic GIS knowledge
formats, handling bugs, etc)
Agile Working Model. Any additional responsibilities assigned in the Agile Working Model (AWM) Charter TECHNICAL SKILLS Demonstrate expertise in data modelling Oracle SQL. Exceptional analytical skills analysing Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Kafka