151 to 175 of 2,027 Use Case Jobs in England

generate insights Build dashboards, visualisations and analytical outputs Support development of data‐driven tools and analytical capabilities Contribute to AI and machine learning use cases focused on insight generation and workflow enhancement Work with structured datasets to improve data quality and usability Collaborate with stakeholders across Markets, Banking ...

delivery and reduce risk. Harness emerging AI capabilities—including Salesforce Einstein and Agentforce—to enhance productivity, decision-making and client engagement, guiding practical use cases from concept to a well-architected implementation. Ensure architecture reflects the regulatory and compliance context of asset management (for example, data privacy, client ...

Responsibilities Research and develop innovative ML-based solutions to address Operations' most challenging problems. Build robust Data Science capabilities scalable across multiple business use cases. Collaborate with the software engineering team to design and deploy Machine Learning services integrated with strategic systems. Research and analyze datasets using ...

pipelines and integration solutions across multiple source systems. Creating curated, business-ready datasets and data models that support Power BI, analytics and AI use cases. Implementing data quality controls, governance, lineage and monitoring processes. Supporting major business transformation programmes across the London Market Working closely with analysts, business ...

similar tools.Ability to understand and work with SQL queries and data models.Knowledge of data governance, privacy, security, regulatory reporting, and responsible data use cases.Excellent communication and strong problem-solving skills.Ability to multi-task and meet deadlines in a fast-paced environment.Experience with BI reporting and analytics solutions using ...

tools. Ability to understand and work with SQL queries and data models. Knowledge of data governance, privacy, security, regulatory reporting, and responsible data use cases. Excellent communication and strong problem-solving skills. Ability to multi-task and meet deadlines in a fast-paced environment. Experience with BI reporting ...

aligned to medallion architecture principles — delivering high-quality, well-governed data products that support analytics, trading insight, and machine learning use cases. This platform underpins critical decision‐making across trading, risk, personalisation, and analytics, and represents a key step forward in standardising and scaling our data ecosystem. What ...

optimise Retrieval-Augmented Generation (RAG) architectures. Drive experimentation, model evaluation, benchmarking, and validation activities. Fine-tune and adapt foundation models for business-specific use cases. Collaborate with engineering teams to transition research outputs into production-ready systems. Define AI system architectures leveraging cloud-native and distributed computing environments. ...

digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible AI operating models and delivery roadmaps covering use-case prioritisation, data readiness, architecture, governance, security, human oversight, adoption and value tracking.* Lead stakeholder alignment and change across engineering, manufacturing, supply chain, service … MBSE and their integration with ERP, MES and enterprise data and architecture. • The ability to translate emerging engineering technology into credible use cases, scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering ...

digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible AI operating models and delivery roadmaps covering use-case prioritisation, data readiness, architecture, governance, security, human oversight, adoption and value tracking.* Lead stakeholder alignment and change across engineering, manufacturing, supply chain, service … MBSE and their integration with ERP, MES and enterprise data and architecture. • The ability to translate emerging engineering technology into credible use cases, scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering ...

digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible AI operating models and delivery roadmaps covering use-case prioritisation, data readiness, architecture, governance, security, human oversight, adoption and value tracking.* Lead stakeholder alignment and change across engineering, manufacturing, supply chain, service … MBSE and their integration with ERP, MES and enterprise data and architecture. • The ability to translate emerging engineering technology into credible use cases, scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering ...

accountability. As a VP, AI and Data Governance Coordinator Lead in HR/EX, you will spearhead the operating model for intake, triage, case progression, SLA adherence, backlog reduction, escalation routines, and approval readiness across AI, data, analytics, automation, and governance requests. VP JD AI and Data Gov Coordinator … Lead.docx You will leverage strong operational discipline and stakeholder management to ensure requests are actioned promptly, high-risk use case owners are actively supported through the governance lifecycle, and case records remain accurate, complete, and auditable. Job responsibilities Lead the day-to-day activities ...

Financial Services team, sharing market insight and helping colleagues navigate the sectorOwn the full sales cycle, from initial outbound engagement and use case discovery through business case development, deal structuring, negotiation, and closeDesign and execute sales strategies suited to the extended decision making, budgeting, procurement, risk … technology teams, business leaders, risk and compliance functions, and procurementProven ability to lead complex negotiations involving bespoke commercial, legal, technical, and operational requirementsStrong business case development skills, with the ability to connect technology investments to strategic, customer, operational, and financial outcomesExcellent presentation skills, particularly in executive and in person ...

Services team, sharing market insight and helping colleagues navigate the sector Own the full sales cycle, from initial outbound engagement and use case discovery through business case development, deal structuring, negotiation, and close Design and execute sales strategies suited to the extended decision making, budgeting, procurement … business leaders, risk and compliance functions, and procurement Proven ability to lead complex negotiations involving bespoke commercial, legal, technical, and operational requirements Strong business case development skills, with the ability to connect technology investments to strategic, customer, operational, and financial outcomes Excellent presentation skills, particularly in executive ...

responsible adoption of AI across the pharmaceutical R&D lifecycle.Key ResponsibilitiesAdvise Life Sciences clients on transforming pharmaceutical R&D through the effective use of data, analytics, AI, and automation. Assess current capabilities, identify opportunities for improvement, and develop business-focused strategies and roadmaps that accelerate scientific innovation, improve … value opportunities for AI, advanced analytics, GenAI, and intelligent automation across the pharmaceutical R&D lifecycle. Provide guidance on AI readiness, use case prioritisation, governance, and responsible adoption, helping clients realise business value from emerging technologies while ensuring solutions are built on trusted, compliant, and well-governed ...

Lenders Finova offers a flexible, modular technology suite designed to help lenders move faster, scale efficiently and deliver standout digital experiences. Financial Institutions use Finova to launch products faster, process applications up to 50% more efficiently and reduce operational costs — all while staying fully compliant in a fast … cloud-based architecture. Analytical Deliverables & Methodologies: Strong command of the full Software Development Life Cycle. Skilled in process mapping, data modelling, use case creation and defining precise acceptance criteria and test strategies within Scrum and Kanban frameworks. Collaboration & Continuous Learning: A collaborative approach to working within ...

Director of Data & AI is responsible for defining and delivering an enterprise-wide data and artificial intelligence strategy that ensures responsible and secure use of data and AI, achieves meaningful improvements in data governance and control, and drives measurable business value and innovation. The role requires not only … regulatory and compliance considerations (GDPR, data protection, audit requirements) Artificial Intelligence Demonstrable experience leading or scaling AI/ML capability, including: Use case identification and prioritisation Strong understanding of emerging AI technologies, including generative AI and large language models and automation and intelligent decisioning systems Experience embedding ...

optimise data pipelines, backend services, and ML infrastructure Develop and maintain feature stores and model-serving capabilities for real-time and batch use cases Take ownership of projects from problem definition through to production deployment and monitoring Work with structured and unstructured data to solve complex business challenges ...

valued. Job Responsibilities: Research and develop innovative machine learning solutions for complex operational challenges Build robust data science capabilities scalable across multiple business use cases Collaborate with software engineering teams to design and deploy machine learning services Analyze large financial datasets using statistical and machine learning techniques Communicate ...

deploy and support AI-powered solutions that improve business processes, knowledge management and operational efficiency. - Work closely with stakeholders to identify high-value use cases and integrate AI into existing workflows and systems. - Develop and maintain AI applications, agents and automations using Microsoft AI technologies. - Design effective prompts ...

Mistral. Monitor key performance indicators tied to operational and business outcomes, and communicate progress to executive sponsors. Proactively identify expansion opportunities across use cases and units, building on initial successes to drive long-term partnerships. Cross-functional collaboration Act as the bridge between customers and Mistral's internal ...

deploy and support AI-powered solutions that improve business processes, knowledge management and operational efficiency. - Work closely with stakeholders to identify high-value use cases and integrate AI into existing workflows and systems. - Develop and maintain AI applications, agents and automations using Microsoft AI technologies. - Design effective prompts ...

Establish and maintain a shared library of reusable AI components for cross-team use. Collaborate with Quality & Compliance teams to ensure regulated AI use cases meet validation and audit requirements. Define test sets, monitor production quality, and maintain documentation and operational runbooks. Set coding standards, review practices ...

Establish and maintain a shared library of reusable AI components for cross-team use. Collaborate with Quality & Compliance teams to ensure regulated AI use cases meet validation and audit requirements. Define test sets, monitor production quality, and maintain documentation and operational runbooks. Set coding standards, review practices ...

Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross‐functional AI initiatives. Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services. Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real ...