to the development of the data strategy through a continuous improvement approach. Key responsibilities. Development of the business domain and project data models and integration maps. Logical Data and Physical Data Models, Data Flow Diagrams, and Source & Target mappings produced to established standards, in a timely more »
to the development of the data strategy through a continuous improvement approach. Key responsibilities. Development of the business domain and project data models and integration maps. Logical Data and Physical Data Models, Data Flow Diagrams, and Source & Target mappings produced to established standards, in a timely more »
to make a huge difference - on us as a company, and on our clients and business partners around the world. Job responsibilities: Use domain modeling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. more »
Hammersmith, England, United Kingdom Hybrid / WFH Options
causaLens
world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions for … some of most important deployments and engagements with the biggest companies in every industry. You will also be tasked with developing causal-AI-driven models and decision applications using our technology to solve the most high-impact challenges in industries like retail, marketing, supply chain, manufacturing and finance. What … deployment of the causal AI platform, with a focus on adding value and renewing each customer. Using our causal AI framework to build causal models and decision applications, using our proprietary causal discovery, modelling, and decision intelligence architectures on client-supplied data sets and use cases. Collaborating directly with more »
for entities across multiple business areas across multiple geographical regions. Logical Datamodelling. Building, enhancing and maintaining the firms XML schemas for all financial data models (BDM entities) within the Business Domain Model to fulfil stakeholder requirements. Active participation in the Business Domain Model project working more »
