26 to 50 of 604 Use Case Jobs in the UK excluding London

methodologies and experience working within fast-paced development environments. Strong understanding of data modelling , data structures, and their advantages and limitations across different use cases. Experience working with public cloud platforms , particularly AWS , including services such as EC2, RDS, Lambda, Athena, and Glue . Experience configuring and optimising ...

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 ...

culture that values your ideas and technical leadership. Job Responsibilities: Make data available for AI and analytics initiatives, working closely with use case owners to define requirements, manage product dependencies, and support agile routines that oversee cross-product data dependencies and prioritize delivery Collaborate with business, technology … awareness of data sensitivity Ability to review and validate AI-assisted outputs (e.g., code, model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements Hands-on practical experience delivering system design, application development, testing, and operational stability Preferred Qualifications, Capabilities ...

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 ...

automation and emerging technologies Identify and support opportunities to leverage AI and internally developed LLM capabilities to enhance Sales & Marketing processes Contribute to use cases such as: Supporting sales teams with AI-assisted insights (e.g., pipeline trends, account summaries) Streamlining documentation, knowledge access, and user support through ...

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 ...

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 ...

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 ...

guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/ ...

design and implement solutions. Experience deploying AI/ML models to production systems in collaboration with engineering teams. Experience working with generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to solve real‐world problems such as text summarisation, chatbots, or content generation. ...

governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases Identify and close gaps in marketing data coverage; define requirements for new integrations and own their delivery where appropriate Data Products & Reporting Build ...

with Threat Intelligence and Detection Engineering teams to identify emerging risks, improve detections and strengthen security visibility. Develop and enhance detection rules, analytics, use cases and response playbooks, helping continuously improve our security operations capability. Mentor and support Security Analysts by providing technical guidance, knowledge sharing and oversight ...

guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/ ...

client engagements, including campaign performance analysis, customer segmentation, and attribution modelling. Support the development and optimisation of agentic AI workflows for marketing use cases, including personalised content generation, audience segmentation, predictive lead scoring, and real‐time campaign analytics. Learn to identify opportunities where AI agents can automate ...

client engagements, including campaign performance analysis, customer segmentation, and attribution modelling. Support the development and optimisation of agentic AI workflows for marketing use cases, including personalised content generation, audience segmentation, predictive lead scoring, and real‐time campaign analytics. Learn to identify opportunities where AI agents can automate ...

teams to identify opportunities to leverage data for insight, automation, and improved decision making. Provide guidance on data-driven initiatives, KPIs, and analytical use cases. Promote a culture of data literacy and responsible data usage. Risk, Compliance & Security Ensure data platforms and processes meet regulatory and security requirements. ...

build scalable data lake and data warehouse solutions on AWS. Develop data ingestion, transformation and storage pipelines to support reporting, analytics and operational use cases. Work with AWS services including S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Implement Bronze, Silver and Gold data layers using Medallion ...

Implement data solutions in a Microsoft Azure environment using native technologies and RDS (SQL Server) toolsets. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with Microsoft Azure technologies, including MS Fabric, Data Factory, Azure Synapse & RDS. Experience with ...

hands‐on experience in delivering Analytics solutions, with ideally at least 3–5 years delivering commercially focused analytics serving a wide range of use cases. Experience working with & blending a variety of data types – Sales, Financial, Supply Chain. Proven track record of designing and implementing complex ...

culture that values your ideas and technical skills. Job Responsibilities: Make data available for AI and analytics initiatives, working closely with use case owners to define requirements, manage product dependencies, and support agile routines that oversee cross-product data dependencies and prioritize delivery Collaborate with business, technology … awareness of data sensitivity Ability to review and validate AI-assisted outputs (e.g., code, model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements Hands-on practical experience delivering system design, application development, testing, and operational stability Preferred Qualifications, Capabilities ...

capture functional, non-functional, and technical requirements. Agile User Stories & Backlog Refinement: Translate business needs into clear user stories, acceptance criteria, and use cases, keeping product backlogs refined and ready for sprint execution. Process & Data Modelling: Analyse as-is versus to-be processes using BPMN and UML, conducting ...

state data architectures. Knowledge of data governance principles, data quality frameworks, and information management best practices. Experience enabling analytics, reporting, and AI-driven use cases through effective data architecture and platform design. Practical experience working with cloud-based data platforms and services, including Azure and/or AWS. ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. ...