76 to 100 of 1,810 Use Case Jobs in England

acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human-in-the-loop checkpoints Assess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting Data 360 Plan and facilitate workshops to scope AI/agentic … agentic components fit into standard SDLC Demonstrated ability to plan and facilitate small to medium-sized workshops, including cross‐functional AI use‐case discovery sessions Strong verbal and written communication skills, with the ability to translate complex AI/technical concepts for non‐technical stakeholders and vice ...

acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human-in-the-loop checkpoints Assess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting Data 360 Plan and facilitate workshops to scope AI/agentic … agentic components fit into standard SDLC Demonstrated ability to plan and facilitate small to medium-sized workshops, including cross-functional AI use-case discovery sessions Strong verbal and written communication skills, with the ability to translate complex AI/technical concepts for non-technical stakeholders and vice ...

hands‐on technical workshops for Tech teams – participants build and ship working AI agents themselves. Coach engineers and domain experts through identifying real use cases, scoping them rigorously, and building their first working solutions on KAIT. Success is measured by independent use. Run structured AI opportunity audits within … Technology Release Process. Identify gaps in processes, documentation, or governance frameworks and work with owners to close them. Use Case Pipeline & Enablement at Scale Coach Tech Innovators through the full lifecycle of AI use cases. Guide and upskill teams for high‐complexity use ...

successful product launch and sustainment.**Lead AI integration**: Work with leadership to implement the company's long-term AI strategy, identifying practical use cases for AI and translating product goals into actionable technical tasks. Lead the design, development, and deployment of AI-enhanced software solutions and oversee ...

analytics platforms, data engineering tools, and AI/ML technologies. Tool-agnostic mindset with ability to evaluate and recommend appropriate technologies for specific use cases. Excellent communication skills, with ability to explain complex technical concepts to both technical and non-technical audiences. Experience working in client-facing roles ...

ensures that features integrate seamlessly into the product’s technical stack (data ingestion, user interface, orchestration) as well as the business process and use case. Required Skills Strong knowledge of machine learning and optimisation techniques, including supervised (regression, tree methods, etc.), unsupervised (clustering), and operations research (linear, mixed … determine trade‐offs between different potential feature implementations Prototype advanced machine learning and optimisation models to prove the value of a use‐case and approach (in Python) Deliver features to industrialise machine learning and optimisation models in Python using best‐practice software principles (e.g., strict typing, classes ...

internal technology teams to generate customer and business value. The role is focused on turning emerging AI opportunities into clear product priorities, practical use cases, market‐ready propositions and measurable outcomes. Overview This is a senior product leadership role within the CPO organisation, responsible for shaping and driving … related field. Success measures Clear AI strategy agreed across Product, GTM, Sales, GSC, Engineering and Partner teams. Prioritised AI use‐case portfolio linked to customer value, commercial potential and delivery feasibility. Product Managers actively using the AI strategy to shape roadmap decisions and customer propositions. Validated ...

internal technology teams to generate customer and business value. The role is focused on turning emerging AI opportunities into clear product priorities, practical use cases, market-ready propositions and measurable outcomes.**Overview**This is a senior product leadership role within the CPO organisation, responsible for shaping and driving … related field.**Success measures*** Clear AI strategy agreed across Product, GTM, Sales, GSC, Engineering and Partner teams.* Prioritised AI use-case portfolio linked to customer value, commercial potential and delivery feasibility.* Product Managers actively using the AI strategy to shape roadmap decisions and customer propositions.* Validated ...

Strong understanding of Business Analysis methodologies and best practices. Experience in requirements elicitation, analysis, and management. Proficiency in creating BRDs, FRDs, user stories, use cases, and workflow diagrams. Ability to perform gap analysis, impact analysis, and process mapping. Stakeholder Management Strong communication and presentation skills. Experience working with ...

cost-efficient data solutions. Data Product Delivery & Commercial Value: Demonstrated success delivering data products that support analytics, reporting, AI and data science use cases, driving measurable business outcomes and value creation. Technical Leadership & Stakeholder Engagement: Ability to provide technical leadership, translate business requirements into scalable solutions and collaborate ...

cost-efficient data solutions. Data Product Delivery & Commercial Value: Demonstrated success delivering data products that support analytics, reporting, AI and data science use cases, driving measurable business outcomes and value creation. Technical Leadership & Stakeholder Engagement: Ability to provide technical leadership, translate business requirements into scalable solutions and collaborate ...

e.g., AWS, Azure, GCP), including migration from legacy systems Advanced proficiency in designing and optimizing data models for analytics, reporting, and business intelligence use cases Demonstrated ability to automate data pipeline deployment and monitoring using CI/CD tools and infrastructure-as-code practices Hands-on expertise with ...

expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies.Accelerating impact with AI by enabling proof of value through prototypes and by translating complex AI concepts ...

operationally meaningful, and capable of adaptation across EMAP organisations. Main duties of the job Lead delivery of defined EM-ACE data science use cases, ensuring that outputs move beyond analysis into usable products, models or decision support tools. Develop, validate and document predictive, evaluative and advanced analytical methods ...

innovative and sustainable solutions to our clients. You will work closely with Data Analysts, Data Scientists, and cross-functional digital teams, supporting analytics use cases and occasionally contributing to light data-science activities such as feature engineering, exploratory analysis, or model operationalisation. Key Responsibilities : Develop concepts through ...

will involve**Building Data Applications** Developing modular and maintainable software components that process, transform and expose data for analytical, operational or AI driven use cases. You will follow strong engineering practices, with testing and observability built in from the start.**Streaming and Real Time Architecture** Designing and implementing ...

regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices ...

Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You’ll be writing clean, maintainable, and well-tested code that follows best practices. As a senior member of the team, you will ...

goal of the roadmap is to maximise the efficiency, efficacy and quality of output across Client Development by codifying high-value AI use cases, creating repeatable prompts, assistants and agents, and scaling adoption through clear governance, playbooks, training and a human-in-the-loop approach. About the Role … Transformation Responsibilities Manage the outputs of the AI Working Group to codify agreed use cases and create a shared use case and prompt library that is easy for the team to access, maintain and apply. Project manage the creation of workflow-specific assistants and agents ...

rebuilding controls bespoke. Drive adoption of platform capabilities through clear documentation, enablement, and internal go‐to‐market, demonstrating measurable value to use case teams. Define and track product KPIs across AIE, and use insights for continuous improvement. Coordinate cross‐team dependencies, remove impediments, and align … takes to move models and AI applications from experiment to production. Outstanding stakeholder management and influence; builds trust through transparency and effective use of data; adept at resolving ambiguity and competing priorities. Deep partnership with Engineering; fluent in discussing technical trade‐offs with both technical and non‐technical ...

Data Enablement Officer to establish and lead Efficio’s data governance framework, helping us protect client data while enabling its responsible use across our services, analytics, products and AI capabilities. This is a highly visible role at the intersection of data, technology, AI, risk and client delivery. … clear data governance operating model and decision-rights framework Practical data, AI, security, reuse and retention policies Data and AI use-case assessment processes Risk-classification and escalation models Policy exception processes and decision registers Product and AI platform assessment standards Solution launch-readiness checklists Training, guidance ...

building data products in Microsoft Fabric and Databricks. You will work with Data Programme colleagues to turn priority sources into governed, use-case-ready data assets using agreed patterns, without duplicating enterprise platform responsibilities. You will join a small, hands-on multidisciplinary team working collaboratively across discovery … product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. Use NLP, embeddings and LLM-assisted techniques responsibly for classification, entity resolution, information extraction, clustering and relationship discovery across document-heavy data. Publish curated datasets ...

regulation (GDPR, post-cookie, AI Act) Turn ambiguous client challenges into clear, actionable roadmaps with defined milestones and measurable value Help clients build the case for investment — developing business cases that resonate at board level Design & Modernise Customer Data Architecture Lead the design and implementation of Customer Data Platforms … that prove the value of AI and data investments to the business Drive Product & Delivery Define and manage customer data products — use case prioritisation, roadmap development, KPIs, and iterative delivery Lead workstreams end-to-end, from discovery and design through to implementation and handover ...

regulation (GDPR, post-cookie, AI Act) Turn ambiguous client challenges into clear, actionable roadmaps with defined milestones and measurable value Help clients build the case for investment developing business cases that resonate at board level Design & Modernise Customer Data Architecture Lead the design and implementation of Customer Data Platforms … that prove the value of AI and data investments to the business Drive Product & Delivery Define and manage customer data products use case prioritisation, roadmap development, KPIs, and iterative delivery Lead workstreams end-to-end, from discovery and design through to implementation and handover ...

regulation (GDPR, post-cookie, AI Act) Turn ambiguous client challenges into clear, actionable roadmaps with defined milestones and measurable value Help clients build the case for investment — developing business cases that resonate at board level Design & Modernise Customer Data Architecture Lead the design and implementation of Customer Data Platforms … that prove the value of AI and data investments to the business Drive Product & Delivery Define and manage customer data products — use case prioritisation, roadmap development, KPIs, and iterative delivery Lead workstreams end-to-end, from discovery and design through to implementation and handover ...