4 of 4 Predictive Modelling Jobs in Glasgow

policies, actions, treatments, arbitration and prioritisation. Experience designing inbound, outbound and real-time decisioning across multiple customer interaction channels. Hands-on experience with adaptive modelling, predictive models, decision strategy simulation, testing and performance monitoring. Strong understanding of customer data modelling, data flows, integration, distributed data platforms … user stories. Design Next-Best-Action strategies, customer segmentation, contact policies, arbitration and prioritisation across inbound, outbound and real-time interactions. Guide adaptive and predictive model integration to support customer-level prioritisation and collections treatment strategies. Coordinate customer data models, data flows and integration designs with workflow, data migration ...

data science, engineering, applied mathematics, physics or a closely related discipline. The successful candidate will undertake research in physics-informed machine learning, uncertainty quantification, predictive modelling and geospatial data integration to improve subsurface characterisation and support decision-making for offshore renewable energy developments. The research will create opportunities … methodological advances in machine learning and uncertainty-aware modelling while addressing important challenges in offshore renewable energy and the net-zero transition. The postholder will join an interdisciplinary team of engineers, data scientists and geophysicists led by Dr Róisín Buckley as part of a UKRI-funded Fellowship. The role ...

Architect and Engineer Lead to set the AI architecture for RES’s data and AI platform, designing LLM solutions, agents, machine learning and predictive models across a global renewable energy business. Reporting to the Head of Data and Analytics, you will own forward-looking architectural design, combine AI engineering ...

platform, and to design, engineer and build the AI services that run on it: LLM and generative AI solutions, agents, machine learning and predictive models, and the next generation of data and AI technology. Reporting to the Head of Data and Analytics, you will own the forward-looking strategic … platform and global business goals. Design the Data-to-AI Interface: Establish how enterprise data is structurally modelled (using star schemas, semantic layers, dimensional modelling, and knowledge ontologies) to ensure autonomous AI agents can search, retrieve, and reason over data reliably without hallucinating. Build AI services: Lead the hands ...