26 to 50 of 67 Use Case Jobs in the South East

working within a legal environment is essential. Key Responsibilities of the AI Business Analyst : • Identify and shape AI, automation, analytics and generative AI use cases. • Gather and translate business needs into clear functional and non-functional requirements. • Lead stakeholder workshops, interviews and data discovery sessions. • Support the design ...

Engagement in Core Platforms Build out a technical framework that enables greater AI engagement across Wates' core business platforms, moving beyond standalone productivity use cases. Work with platform owners toidentifywhere AI agents, AI-enabled workflows or AI applications can improve process execution, decisionsupportand user experience. Define engagement, adoption ...

copilots and agentic AI solutions that assist users, automate multi-step tasks and orchestrate calls to internal tools and systems. Translate business use cases into Copilot scenarios, prompt flows, connectors and agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation … Copilot extensions, Azure OpenAI-based copilots, custom AI assistants/agents). Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs ...

gates, the Portfolio Council and the International AI SteerCo, with markets flagging local priority and conflicts at intake through Spark. Own the business case, KPIs and benefits tracking for every investment, and manage the programmes finances against the agreed budget; stop or redirect work that is not delivering. Treat … strength and placement of our evidence, not on volume of sales activity rather than a scatter of disconnected experiments. Prove each use case in one market against one clear question, then hand it to Adoption & Scale to roll out; retire what doesnt earn its place. Market sensing ...

gates, the Portfolio Council and the International AI SteerCo, with markets flagging local priority and conflicts at intake through Spark. Own the business case, KPIs and benefits tracking for every investment, and manage the programme’s finances against the agreed budget; stop or redirect work that is not delivering. … strength and placement of our evidence, not on volume of sales activity — rather than a scatter of disconnected experiments. Prove each use case in one market against one clear question, then hand it to Adoption & Scale to roll out; retire what doesn’t earn its place. Market ...

Proficient in C/C++ and Python. Ability to understand and describe a range of software modelling and simulation techniques. Ability to analyse use cases and project data context to determine specifications and requirements. Experience in one or more of the following technical disciplines: Videogame engine technology (e.g. ...

e.g. member facing tools, exam insights, CPD personalisation). Work with business units to map needs, pain points, and opportunities to AI enabled use cases. Evaluate opportunities based on ROI, user value, and feasibility. Facilitate sessions with staff, digital teams, UX specialists, and business stakeholders to capture ...

navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog! Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities ...

delivering SIEM, XDR and SOAR solutions, developing detection content, automating security processes, and improving SOC effectiveness. You will lead detection engineering initiatives, create use cases aligned to MITRE ATT&CK, develop response playbooks, and implement Detection-as-Code best practices. Key Requirements Experience with SIEM platforms (Microsoft Sentinel ...

deliver secure cloud solutions, including: Designing secure cloud architectures for public, private and hybrid cloud environments Developing cloud security strategies and enterprise security use cases Creating security reference architectures and governance models Supporting the design and deployment of secure cloud infrastructure Embedding security throughout the cloud lifecycle using ...

centre of transformation—turning business priorities into clear, buildable solutions and ensuring they are practically deliverable. Key Responsibilities Translate business outcomes into: • ?Clear use cases • ?Structured requirements • ?Logical delivery increments Design solutions across: • ?Core business systems (including Dynamics 365) • ?Integrations/APIs • ?Customer-facing platforms • ?Data and reporting ...

scale agentic AI solutions. You will bridge business needs with engineering, mentor a team of AI engineers and data scientists while delivering scalable use cases across regions. You will drive MVP-to-production transitions, define best practices, and collaborate with enterprise architecture to ensure secure, compliant deployments. #J ...

architecture standards, governance and best practices. Evaluate emerging AI technologies and recommend adoption opportunities. AI Projects & Transformation Identify and prioritise high-value AI use cases with business stakeholders. Build business cases and manage AI initiatives from discovery through implementation. Manage delivery partners and ensure successful project execution. Adoption ...

conditions and demand Reduce risk and improve decision-making through data-driven insights Quantify the likely outcomes of transformation initiatives before investment Typical use cases include: Assessing the impact of robotics and automation in warehouses Improving in-store operational efficiency Optimising customer experiences and venue layouts Testing business ...

requirements. Producing both high- and low-level security control designs, including defining testing requirements. Setting and governing standards for detection content, including rules, use cases and correlation logic. Acting as the technical authority for client security designs and technology roadmaps. Leading SOC maturity initiatives in support of CREST ...

Risk, Finance, Marketing and innovation colleagues to build data models, develop reporting, support AI-ready knowledge repositories and identify opportunities for better use of data across the firm. Key responsibilities Build and develop the firm's legal knowledge data model Analyse business, client, matter and knowledge data Create … dashboards, reporting and insight Support AI, automation and innovation projects Prepare structured and unstructured data for AI use cases Support data governance, quality and best practice Work with senior stakeholders across the firm What we're looking for 5+ years' experience in data, analytics, AI or machine learning ...

enabled business change across JCDecaux UK. The role focuses on understanding business objectives and pain points, translating them into clear AI and data use cases, and working with technical teams to ensure successful implementation and adoption of AI solutions. Acting as a bridge between business … dependencies. Facilitate workshops, interviews and discovery sessions to elicit business problems, desired outcomes and success measures, turning them into well‐defined AI use cases and requirements. Elicit, analyse and document business, functional and non‐functional requirements, producing artefacts such as BRDs, user stories, process maps and data requirements ...

network simulation tool to assess network level performance of optical communication systems, supporting site selection and network architecture development. This includes use case, scenario and KPI definition, analysis of large simulation datasets, and optimisation of simulation efficiency Generate technical reports, visualisations, and presentations to communicate results … responsibility Regular socials and weekly team lunch Variety of additional perks including learning and wellbeing app subscriptions. We recognise that many candidates use AI tools when applying. Please ensure your application reflects your own experience, skills, and thinking. We assess applications based on authenticity and accuracy, so anything ...

data processes. Gather, analyse and document business and technical requirements. Produce high-quality artefacts including: Business requirements documents Functional specifications Data flow diagrams Use cases Test scenarios and test cases Manage end-to-end delivery of projects and enhancements within Risk & P&L Data Services. Required Experience Proven ...

employee feedback, survey results, and engagement data to shape effective communication strategies and activities. Support AI adoption by creating content that showcases practical use cases, business impact, colleague success stories, and growth opportunities. Build strong relationships with technology leaders, subject matter experts, and key stakeholders to ensure accurate ...

legislation impacting technology, data and digital services, including cross‐border transfers, cybersecurity and AI governance. Advise on emerging technology matters such as AI use cases, automation, data commercialisation and evolving EU/UK regulatory frameworks. Act as the primary legal partner for technology, data and AI topics, building ...

skills and the ability to uncover operational, commercial and technical pain points. Confidence leading product demonstrations and adapting them to different stakeholders and use cases. A consultative approach, with the ability to challenge customers constructively and develop a commercially compelling solution. Enough technical curiosity and aptitude to understand ...

marketing leaders to transform end‐to‐end innovation business processes and realize value through digital, data, and AI‐enabled use cases. Collaborate with senior product owners, configuration experts, architects, and third‐party providers to ensure technology, vendor, and delivery choices align with D&T strategy, balancing cost, quality ...

data foundation Build the trusted commercial data foundation: L1L4 squads working to one standard (the four data layers, raw to ready-to-use), including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL). Own semantic standards, inheritance rules … partners (e.g. Accenture, Deloitte) crewing into the pool. Model and platform vendors through the CIO's model-access framework. Success measures Prioritized use cases delivered to production with named owner, evidence pack, run model and sunset criteria. Data quality, lineage and observability coverage across priority data products. Time ...

data foundation Build the trusted commercial data foundation: L1–L4 squads working to one standard (the four data layers, raw to ready‐to‐use), including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL). Own semantic standards, inheritance rules … partners (e.g. Accenture, Deloitte) crewing into the pool. Model and platform vendors through the CIO's model‐access framework. Success measures Prioritized use cases delivered to production with named owner, evidence pack, run model and sunset criteria. Data quality, lineage and observability coverage across priority data products. Time ...