1 to 25 of 911 Use Case Jobs in the UK

achieve sustainable growth. We work with some of the world's leading organisations, identifying and quantifying opportunities for revenue growth, margin improvement, and operational efficiency through the strategic use of AI and data assets. Our team is at the forefront of developing and evaluating AI use cases, linking them to tangible business outcomes and valuation impacts. … and transformation roadmaps, ensuring they are equipped to navigate the complexities of digital transformation and emerging AI. By leading projects focused on data platform design, AI use case assessment, and data monetisation, we deliver actionable strategies that help organisations thrive in an increasingly data driven world. Our team also supports clients in transaction environments, providing expertise in … planning. Establish and nurture long term client relationships, providing strategic advice and innovative solutions. Project Leadership and Delivery Lead projects focused on data platform design, AI use case assessment, and data monetisation initiatives. Oversee the development of actionable strategies and implementation plans to drive digital transformation. Manage multidisciplinary teams to deliver high impact solutions that align with More ❯

identification and delivery of opportunities to apply Generative AI and Agentic AI tools across business and operational processes Collaborate with business stakeholders and technology partners to assess potential use cases for AI adoption and automation Support the implementation of AI-driven solutions within cloud or SaaS ecosystems Maintain awareness of emerging technologies, particularly around AI and digital transformation More ❯

identification and delivery of opportunities to apply Generative AI and Agentic AI tools across business and operational processes Collaborate with business stakeholders and technology partners to assess potential use cases for AI adoption and automation Support the implementation of AI-driven solutions within cloud or SaaS ecosystems Maintain awareness of emerging technologies, particularly around AI and digital transformation More ❯

complex projects, and provide advanced analytical insights that drive measurable business outcomes. Key Responsibilities Model Development & Deployment: Design, build, and deploy scalable machine learning and statistical models for use cases such as pricing optimisation, customer behaviour prediction, and risk modelling. Data Exploration & Feature Engineering: Work with structured and unstructured data to uncover patterns and develop robust features for More ❯

complex projects, and provide advanced analytical insights that drive measurable business outcomes. Key Responsibilities Model Development & Deployment: Design, build, and deploy scalable machine learning and statistical models for use cases such as pricing optimisation, customer behaviour prediction, and risk modelling. Data Exploration & Feature Engineering: Work with structured and unstructured data to uncover patterns and develop robust features for More ❯

Marketing Collateral to incisively describe the capabilities and benefits of our solution Requirements & Backlog Management Engage with internal stakeholders, partners, and customers to capture, refine, and prioritize AI use cases Translate complex AI concepts into clear epics, features, and user stories aligned with business value Maintain a transparent and prioritized backlog in JIRA Ensure documentation and acceptance criteria More ❯

POS , ERP , CRM , and loyalty systems . Demonstrated experience with cloud-native architectures (AWS, Azure, GCP), microservices , APIs , DevOps , and data platforms . Familiarity with AI/ML use cases in retail and knowledge of GenAI advancements relevant to customer experience and operations. Strong understanding of agile delivery models , product management practices , and enterprise architecture. Excellent communication and More ❯

new indicators and alternative datasets; formalise feature engineering and signal decay/robustness analysis; implement model risk controls , documentation, and reproducibility. Scale and commercialise proprietary metrics for investment use‐cases and new revenue lines (e.g., indices, APIs/subscriptions, data products). 2) Data Operations & Quality Control (Automation‐First) Work with systematic team and IT to automate ingestion More ❯

and configure Salesforce objects, data models, and automation using Flows, Apex, and Lightning Web Components (LWC) . Leverage Service Cloud and Sales Cloud functionality to support AI-driven use cases. Integrate Einstein AI and Prompt Builder within Salesforce environments. Prompt Engineering Fundamentals Develop clear, context-rich prompts for generative AI models, ensuring accuracy and … relevance. Apply role-based prompting , task specificity , and format constraints . Continuously refine and iterate prompt logic based on output quality and user feedback. Business Process & Use Case Design Translate business needs into actionable GenAI use cases . Collaborate with subject matter experts to define, validate, and prioritize AI-driven solutions. Document prompt logic and … Lightning components and AI features within Salesforce workflows. Ensure all AI implementations adhere to ethical and security guidelines. Integration & Automation Embed generative AI features directly into Salesforce UI and case management flows . Integrate external AI services using APIs and middleware platforms. Contextualize prompts using real-time Salesforce data and user inputs. Collaboration & Communication Partner with solution architects, developers More ❯

manufacturing, logistics, and consumer goods. Contribute to long-term goals such as establishing a Centre of Excellence and embedding AI into planning and forecasting cycles. 2. Use Case Discovery & Prioritization Identify and assess AI use cases with the greatest potential for impact. Balance quick-win projects with strategic initiatives that support long-term transformation. 3. More ❯

manufacturing, logistics, and consumer goods. Contribute to long-term goals such as establishing a Centre of Excellence and embedding AI into planning and forecasting cycles. 2. Use Case Discovery & Prioritization Identify and assess AI use cases with the greatest potential for impact. Balance quick-win projects with strategic initiatives that support long-term transformation. 3. More ❯

requirements by working closely with other development ,verification team members & Business representatives. Document the requirement in JIRA as User stories and provide proper acceptance criteria. Create user stories , use cases and scenarios for the given requirements Work and communicate in a cross-functional Global team comprised of BA, Developers, project managers and support representatives, etc. Testing & confirming if More ❯

environment, in which considered risks taking can occur and innovation thrives Exposure and awareness of modern-day programming languages Demonstrable understanding of PaaS/SaaS/IaaS and use cases and best practices in public cloud Proven awareness of the latest developments in today's public cloud industry (AWS/Azure etc) and related industry benchmark/best More ❯

key part in designing, delivering, and optimising data pipelines and architectures. Your focus will be on enabling robust data ingestion and transformation to support both operational and analytical use cases. If you're passionate about data engineering and want to make a meaningful impact in a collaborative, fast-paced environment, we want to hear from you !! Role and More ❯

databases, and streaming data. Optimize performance, scalability, and cost efficiency of Databricks clusters and workflows. Collaborate with cross-functional teams to support analytics, machine learning, and business intelligence use cases. Implement data governance, lineage, and observability best practices using tools such as Unity Catalog, DataHub, or Collibra. Mentor junior engineers, fostering best practices in data engineering, testing, and More ❯

Azure Databricks and modern data platform technologies. Serve as a subject matter expert on Databricks architecture, performance tuning, and best practices to enable advanced analytics and machine learning use cases. Partner with data engineering, BI, analytics, and AI/ML teams to design robust, reusable, and production-grade data pipelines and model deployment frameworks. Champion the adoption of More ❯

integrity of our platform. What You'll be Doing: Deep Product Knowledge: Gain and maintain an extensive understanding of our product suite, including its technical limitations. Use Case Analysis: Assess needs to determine applicable use cases our platform can address. Recommend optimal product configurations and program implementations. Proposal Development: Collaborate with stakeholders to create the … technical feasibility and alignment with client requirements. Client Escalation: Act as an escalation point and offer expert advice to clients on the product's functionalities, limitations, and best use scenarios where this cannot be resolved in-market. Technical Liaison: Act as a bridge between other markets and our product and engineering teams, understanding and translating technical requirements and … solutions to complex problems Highly interpersonal and able to present confidently to regional technical stakeholders Solid analytical and problem-solving skills to understand client problems and identify standard use cases that our product supports, and at the same time satisfy the client's needs Experience delivering consultancy services, presales support and advice to clients Experience resolving complex and More ❯

and objectives. Conduct detailed analysis of business processes, systems and data to identify opportunities for improvement and optimisation. Facilitate workshops and interviews to gather requirements, user stories and use cases. Analyse and document business processes, workflows and system interactions to ensure alignment with business goals. Translate business requirements into functional specifications and user stories to ensure clarity and … and problem-solving skills, with the ability to translate complex business needs into actionable requirements. Proficiency in business analysis techniques, such as process modelling & lean practices, use case development and requirements elicitation. Experience with Agile delivery and knowledge of methodologies and tools, such as Scrum, Kanban, SAFe 5.0, LeSS. Excellent communication and presentation skills, with the ability More ❯

and objectives. Conduct detailed analysis of business processes, systems and data to identify opportunities for improvement and optimisation. Facilitate workshops and interviews to gather requirements, user stories and use cases. Analyse and document business processes, workflows and system interactions to ensure alignment with business goals. Translate business requirements into functional specifications and user stories to ensure clarity and … and problem-solving skills, with the ability to translate complex business needs into actionable requirements. Proficiency in business analysis techniques, such as process modelling & lean practices, use case development and requirements elicitation. Experience with Agile delivery and knowledge of methodologies and tools, such as Scrum, Kanban, SAFe 5.0, LeSS. Excellent communication and presentation skills, with the ability More ❯

to enhance the Business Analysis framework About You You’ll bring: • At least 2 years’ experience in a Business Analyst role • A formal BA qualification • Strong understanding of use cases, user stories, and activity diagrams • Proficiency with Microsoft Office and document assembly tools • Familiarity with PRINCE2 or Agile project delivery methodologies • Excellent analytical, communication, and stakeholder management skills More ❯

enable real-time analytics, and ensure robust data governance and quality frameworks. The engineer will collaborate with cross-functional teams to support AI/ML, GenAI, and IIoT use cases in manufacturing and industrial environments. Key Responsibilities Architect and implement cloud-native data pipelines on AWS or Azure for ingesting, transforming, and storing industrial data. Integrate data coming More ❯

world applications ⚙ Build and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in More ❯

analytics, and automation capabilities. • Cleanse, transform, and integrate data from oneAdvanced, legacy systems, and external data sources into central data platforms (EDW/Azure). • Implement machine learning use cases such as cashflow forecasting, working capital optimisation, fraud detection, and HR analytics. • Ensure compliance with GDPR, SOX, and internal governance when handling sensitive financial and HR data. • Support More ❯

city centre Birmingham office with a hybrid workstyle. Role & Responsibilities Working closely with colleagues in IT and other internal teams, notably Finance to build a roadmap of business use cases to ingest into the data warehouse to fuel reporting & dashboards. Own, monitor, and evolve the current Azure Data warehouse, developing and implementing data engineering best-practice (e.g., source More ❯

analytics). Support rationalisation and integration of fragmented technology estates resulting from mergers, acquisitions, or platform expansion. AI & Data Strategy Enablement Identify and drive AI and data-driven use cases relevant to investment advisory, client servicing, risk management, and operational automation (e.g., hyper-personalisation, RPA, document intelligence, GenAI for regulatory reporting or client communications). Collaborate with data More ❯