3 jobs found in birmingham

Data Governance Lead Application closing date: 22/09/2024 Interviews will take place: Week commencing 07/10/2024 A bit about the role… As the Government’s housing and regeneration agency, we exist to work with partners to support them in tackling housing challenges and enabling the delivery of new homes. The Data and Analytics Directorate plays a crucial role in this mission, providing the data, insights, and intelligence necessary to ensure the agency's efficiency and success in delivering existing business while generating new opportunities. Our core mission is to empower the agency through robust data strategies and insightful analytics, helping to deliver on Homes England's strategic plan. We are currently undertaking an ambitious data programme aimed at centralising our data onto an Azure data platform. This initiative involves close collaboration with data architects and data engineers to create a system that enables more efficient, scalable, re-usable,...

Within the research and development team we have 2 opportunities within the data management team, 1 permanent role and 1 12month internal Secondment both working 37.5 hrs across Monday to Friday. The post holders will be a member of the R&D research team and be responsible for supporting the R&D manager, lead nurse and research delivery team. The role will require the post holder to liaise with all research staff, clinicians, health professionals and clerical staff across the trust, being responsible for providing data management and administrative support as needed for the research portfolio. Kindly be aware that this job opening may close prior to the advertised date if we receive an adequate number of applications. We encourage you to apply at your earliest convenience to prevent any disappointment. 1. To supply data as required to the Research Nurses regarding progress of research studies. 2. Collection of patient data from medical notes and completion of case...

This KTP project aims to develop innovative AI and data analytics tools for   Netwatch Global   to enhance efficiency and reduce fraud in the insurance industry. The main objectives include automating data analysis, flagging fraudulent activities, and providing automated advice to users. Key focus areas of the project are: Multimodal data analytics and annotation Semantic linking of data Natural Language Processing for textual data Generative AI for dynamic information processing and user interaction By addressing these areas, the project seeks to build an internal business capability that optimises processes, improves fraud detection, and offers advanced AI-driven solutions for user interactions and data management within the business. Candidate Profile : A minimum of a MSc in Machine learning and/or Artificial Intelligence with demonstrable level of expertise in project and research execution. Essential skills/ experience required include: A...