926 to 950 of 2,052 Use Case Jobs in England

their finance team operates. Deliver tailored product demonstrations. Configure sandbox environments and tailor demonstrations around each prospect’s specific workflows and use cases. You’ll run high-impact demos, answer detailed questions in real time, and adapt your approach based on the customer’s priorities. ...

Essentials effectively. Maintain an in-depth understanding of competitor strategies to position HPE more effectively. Lead initial customer conversations, validating virtualization opportunities and use cases. Develop pursuit plans and manage the sales pipeline to align with account managers’ and partner ́ strategies. Establish professional consultative relationships, understanding client business ...

Genomics England, we work with some of the most complex clinical and genomic data in the world, helping researchers, clinicians and scientists use that data to advance research and improve patient outcomes. You’ll be joining our Generate Research Data (GRD) Service at an exciting time. GRD works … capture, de-identification and integration with reference data. Building and improving data solutions in AWS, applying cloud-first engineering practices and making effective use of storage, compute and orchestration technologies. Working with tools such as Python, RDBMS, Prefect, Tableau, Semarchy, Aspera and Globus across data orchestration, visualisation, data ...

other data scientists and engineers, you will help build the tools and data capabilities that allow AI agents to securely access, understand and use data.A key initial focus will be creating reusable search, retrieval and agentic capabilities that enable sophisticated internal research and automation using corporate data. … will also contribute to the wider development of GenAI capabilities as our technology and use cases evolve.What will you be doing As part of a multidisciplinary GenAI team, you will:Agentic Data Access: Help develop reusable tools that enable AI agents to securely discover, retrieve and use ...

responsible staff culture. At our Organisation, our selection process ensures we recruit candidates with the right skills and values. We monitor AI use in applications and remain alert to misuse that misrepresents abilities. You must declare any AI use when submitting your application. Job description … effectively plan, manage, and deliver programme workstreams. You'll be an experienced data engineer, comfortable working across a wide range of stakeholders and use cases spanning commissioning, population health and direct care. You'll have: A degree in a relevant subject or equivalent significant experience working in data ...

other data scientists and engineers, you will help build the tools and data capabilities that allow AI agents to securely access, understand and use data. A key initial focus will be creating reusable search, retrieval and agentic capabilities that enable sophisticated internal research and automation using corporate data. … will also contribute to the wider development of GenAI capabilities as our technology and use cases evolve. What will you be doing? As part of a multidisciplinary GenAI team, you will: Agentic Data Access: Help develop reusable tools that enable AI agents to securely discover, retrieve and use ...

Partners maintains a secure, scalable and resilient technological ecosystem, that underpins the organisation’s strategic goals and daily operations. We promote the effective use of technology and data, fostering collaboration to drive innovation, enhance internal processes and support informed decision‐making across the organisation. Purpose of the role … elements of the Data Strategy. Working closely with the Business and Data Analytics Lead you will help drive the transformation of how we use data, enhancing insight, decision‐making and impact across the organisation. The primary goal is to ensure that we have the technical capabilities and structures ...

logic, and ETL/ELT processes. Working understanding of how data assets are structured and prepared to support AI, machine learning, and agentic use cases - this is now a core expectation of the role, not a nice-to-have. Comfortable translating business logic (cost models, scoring frameworks, taxonomy … understanding of data governance, data quality, and documentation best practices. Comfortable operating with ambiguity - transformation asks arrive half‐formed and evolve as the business case develops. Excellent written and visual communication - you'll be producing numbers that go straight into executive decks and capital‐approval workbooks. Microsoft Fabric Analytics ...

processes. Job Responsibilities Lead the design, development, and implementation of agentic AI applications that support Markets Operations workflows, controls, exception management, and productivity use cases Define and drive AI engineering architecture patterns for scalable, secure, reusable, and production‐ready AI, machine learning, and generative AI solutions Design … implement agent harnesses, orchestration layers, tool‐use frameworks, workflow automation patterns, and guardrails for enterprise AI applications Develop context management strategies, including retrieval approaches, memory patterns, prompt and context construction, grounding, data access controls, and lifecycle management of contextual information Build and enhance robust AI services and infrastructure ...

configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production‐grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi‐agent systems that orchestrate between different models, tools, and data … Create sophisticated prompt engineering strategies optimized for customer‐specific domains and data Build and maintain prompt libraries, templates, and best practices for customer use cases Conduct systematic prompt experimentation and A/B testing to improve model outputs Implement RAG (Retrieval Augmented Generation) systems and fine‐tuning pipelines ...

time. Your Role Gather, analyze, and document business requirements for advanced analytics and client intelligence initiatives. Define requirements for customer intelligence use cases, including assessment of relevant third-party data sources. Partner with analytics and technology teams to translate business needs into actionable insights, dashboards, and reporting solutions. … Define requirements for alerting solutions that monitor key internal and external business metrics. Support the development and delivery of GenAI use cases and collaborate with relevant governance forums. Identify opportunities supporting wallet share growth, client prioritization, and cross-sell strategies. Create clear user stories, functional requirements, and prioritized ...

proposed analytical solutions Work closely with business stakeholders to understand challenges, identify suitable analytical approaches and translate business requirements into practical data science use cases Be able to work in world of siloed and disconnected data bringing context to the disparate views of similar data Undertake exploratory data … range of business challenges Evaluate and communicate model performance, limitations, assumptions and potential risks, ensuring proposed solutions are appropriate for their intended business use Present technical findings and outcomes to both technical and non‐technical stakeholders, clearly articulating potential business value and recommendations Support the development of data ...

science to create systematic country risk analytics that are transparent and can be validated. We build and maintain robust models that our customers use to identify and manage country risks. Joining as a Data Scientist t o support risk research and analysis, you will help shape the strategic … world’s leading organizations. Candidates will have the opportunity to explore, analyze, and write about our proprietary risk data for different use cases and aid in product development. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with experts across risk ...

help shape the future of agriculture. Job Description Join our global analytics team within Product Biology & Sustainable Innovation and help shape the use of predictive science in Crop Protection R&D. As a Senior Data Scientist – Predictive Science, you will develop machine-learning and predictive-modelling approaches that … accelerate scientific discovery, improve decision-making and create scalable solutions across Crop Protection R&D. Identify, assess and prioritise AI and GenAI use cases based on scientific relevance, business value, feasibility, data readiness, risk and expected impact. Partner with multidisciplinary teams to support the discovery, optimisation and development ...

transform, and aggregate data from multiple sources Build resilient data products that support lineage, traceability, and trusted analytics for resiliency and recovery risk use cases Develop and evolve logical and physical data models that represent user flows, system dependencies, resiliency signals, and risk measures Translate business, risk … outputs to support explainability and operational decision-making Apply modern architecture patterns to support scalable and, where needed, near real-time data requirements Use structured and non-relational database technologies to optimize performance and operational stability Embed engineering best practices such as version control, automated testing, code review ...

leveraging their knowledge of the Insurance sector and AI engineering skills to drive our clients’ growth and modernisation strategies forwards, especially as the use of AI, data and technology becomes more prevalent. We have extensive experience at the forefront of transformation programmes as Insurers build industry-leading capabilities … designing for data”: how to source it, store it, structure it, transform it and consume it for a wide range of data-centric use cases, including data APIs, data monetisation, GenAI, machine learning, management information and reporting. As a Associate Director, you will lead the architecture of complex ...

effective coordination, stakeholder engagement, and timely decision-making.In addition to operational responsibilities, the L3 Analyst contributes to the continuous improvement of SOC processes, use cases, and detection capabilities. The role requires strong automation and scripting skills to streamline repetitive tasks, enhance operational efficiency, and improve overall security outcomes.Reporting … develop hunting hypotheses, identify detection gaps, and continuously strengthen the organization’s defensive capabilities.* Develop, tune, test, and continuously improve security detections, analytics, use cases, investigation methodologies, playbooks, and response procedures, including validating detection coverage against realistic adversary behaviors and the MITRE ATT&CK framework.* Drive automation ...

that combine public and industry-specific content with advanced technology and analytics to assist in evaluating and predicting risk and enhancing operational efficiency.We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we help make communities … manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement* Ensure data quality, consistency, deduplication, and optimisation for analytics and reporting use cases* Enable CDP functionality including identity resolution, consent management, and audience readiness* Develop event streams and triggers to support customer journey orchestration and real ...

used across the business. You’ll design and build robust data pipelines, models and integration patterns that improve the quality, accessibility and trusted use of data. This is a hands‐on role where you’ll work closely with colleagues across Technology, the wider business and specialist third‐party … help shape the technical standards and architecture that underpin our data platform, creating the foundations for reporting, customer insight and future artificial intelligence use cases. What You’ll Be Doing Data Platform Architecture Working with the Head of Data, design and document our target data platform architecture ...

Docker, Kubernetes, and CI/CD.Strong problem-solving, stakeholder management, and communication skills.PreferredExperience delivering AI solutions from PoC to production.Exposure to AI use cases across Supply Chain, Finance, Operations, SAP, Salesforce, Customer Service, or Legal domains.Experience building AI solutions for Legal and Compliance functions is a plus.Your security … from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making ...

next-level solutions that improve the way our business is run.Engineer production scale FX data and analytics Gen AI solutions for various FX use cases using modern Gen AI technologiesCollaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions … protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View Citi’s EEO Policy Statement and the Know Your Rights ...

Govern architectural decisions through our Architecture Decision Record (ADR) process, working with the teams building on each platform Identify and champion opportunities to use AI tools to improve ways of working within the role and team Own the architectural design — data models, ingestion, transformation and storage layers … Partner with Data Science, AI, BI and Product teams to build production-ready data foundations that support reporting, dashboards and predictive/ML use cases Skills, experience and behaviours Essential skills and experience Technical Proven experience designing and implementing data architecture on Snowflake (or a comparable cloud platform ...

Platinum layers, following agreed architecture and engineering standards. Develop reusable, business-ready datasets that support analytics, reporting, semantic models and self-service use cases. Apply appropriate data modelling and transformation techniques to produce clear, performant and maintainable data structures. Ensure solutions are documented, version-controlled, testable and supportable. … Platform Modernisation Contribute to the transition from Informatica and Azure Synapse-based solutions to Databricks, including analysis, migration, validation and decommissioning activity. Use existing Synapse knowledge to understand current pipelines and architecture, identify dependencies and support safe migration to the target platform. Refactor or rebuild legacy data processes ...

from data preparation and model development through to deployment and monitoring. Working closely with technical teams and commercial stakeholders, the successful candidate will use data science to solve business problems, automate processes and generate actionable insights. The ideal candidate will have strong Python, machine learning and statistical foundations … full model lifecycle.• Apply data science techniques to automate manual processes and improve business efficiency.• Explore potential generative AI applications and use cases.• Assess the quality and suitability of internal and external data sources.• Produce analytical insights and reporting to support business decisions.• Write clean, tested and maintainable ...

Partner to ensure analytics delivery is focused, impactful and aligned to business priorities. Responsibilities Champion a culture of curiosity, technical excellence, responsible data use, commercial impact and continuous improvement. Raise the capability of the wider analytics community through technical guidance, peer review, reusable frameworks, documentation and knowledge sharing. … business areas. Advanced hands-on capability in SQL, Python or R for advanced analysis, automation, statistical modelling, forecasting, experimentation, segmentation or machine learning use cases. Demonstrable experience partnering directly with Business Partners, heads of function, directors or equivalent senior leadership audiences. Proven ability to coach and develop analysts ...