26 to 50 of 434 Use Case Jobs in London

roadmaps, align on requirements, and deliver data-driven transformations. Establish reusable, modular data science and machine learning capabilities and patterns scalable across multiple use cases. Provide technical leadership and mentorship through code reviews, design reviews, best practices, and upskilling across data science and engineering partners. Communicate clearly with ...

Senior Data Engineer, you will help design, build, and run reliable data pipelines and services that support large‐scale search and analytics use cases. You will work hands‐on while also supporting and guiding other engineers. About the role: The Search and AI Platform is Elsevier's agentic ...

design and developer experience (DX) programs. CORE COMPETENCIES Platform Thinking - able to design scalable, reusable product capabilities that serve multiple business lines and use cases. Technical Acumen - comfortable engaging engineers at a meaningful level on architecture, data modeling, and integration design. Intellectual Curiosity - continuously seeks to deepen understanding ...

will have a developing understanding of AI technologies, cloud-based AI services, and the financial implications of token-based consumption. They will use their analytical skills to monitor, report and optimise AI usage and cost data, supporting organisations as they extend FinOps practices into the emerging field … usage, token consumption, model costs and forecast future AI spend. Support the creation of dashboards showing AI consumption by team, product, use case, model, provider and business outcome. Collaborate with technical owners, AI product teams and engineering teams to understand, forecast and optimise token-based AI spend. ...

evidence return‐on‐investment narratives for AI adoption with clients. Develop core pitch materials and reusable collateral around our AI approaches, methodologies, and case studies. A proven record of leading large‐scale, transformation projects for globally recognised brand names. Experience navigating large, complex organisations to connect silos and align … clients. MCP architectures and agentic architectures for tool use and orchestration. Model selection and fine‐tuning strategies aligned to use case, cost, and performance. Prompt management, context management, and chunking strategies for retrieval and long‐context workloads. Conversational interfaces, natural language, and voice as primary ...

what actually gets built. Responsibilities as a Senior Data Scientist: • Build and deploy predictive models and advanced analytics solutions for high-value use cases • Define the features, datasets and structures required for modelling, working closely with the Lead Data Modeller and Data Engineering teams • Translate business problems into ...

including large language model infrastructure, agentic frameworks and data standards such as Model Context Protocol, with the ability to translate capabilities into product use cases and business value Ability to build and sustain senior relationships with product and engineering leaders across hyperscalers and AI platform providers, influencing joint ...

quality materials for governance forums and risk committees. Collaboration & Stakeholder Engagement Partner with risk SMEs, technology teams, and business stakeholders to define analytical use cases and solutions. Drive adoption of data-driven decision-making across OTCR Deliver insights that enable proactive, data-driven decision-making. Promote data literacy ...

Deep knowledge of data warehouse design methodologies (Inmon, Kimball, Data Vault 2.0), with the ability to apply the most appropriate approach for each use case. Technical Skills: Advanced SQL and Python skills, with hands-on experience using dbt (data build tool) or similar transformation frameworks. AWS Integration: Strong ...

Fabric, Lakehouse architecture, data pipelines or analytics engineering would be beneficial, especially where data needs to be prepared for reporting, automation or AI use cases. Role Build and ship production features across the platform, working across APIs, services, user interfaces, data integrations and AI-agent workflows. Develop scalable ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. A track record in leading ...

projects for established and new clients, and this role plays a leading part in that - running discovery sessions and identifying potential AI use cases across clients' business operations. We believe that work should be fun and that as a team we produce better work when people enjoy their … defined user stories and initial acceptance criteria Scope and deliver AI projects for established and new clients, from initial discovery and use-case definition through to delivery Champion the use of AI across the agency and in client work, helping the team identify where ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record ...

Chief Client Office (CCO). The successful candidate will ensure alignment with enterprise data standards, and enable effective, compliant, and value-driven use of data to support client-facing functions and decision-making. This role will operate at the intersection of business, data governance, analytics, and technology, partnering … data considerations are embedded in enterprise change initiatives. AI & Innovation Leadership Contribute to the CCO’s AI enablement strategy, including use case identification, and drive adoption of AI capabilities through training, governance, and continuous improvement initiatives. Partner with enterprise data, risk, legal, compliance, and technology teams ...

compliance with client's standards Participate in Agile ceremonies and contribute to continuous improvement Product ownership including backlog prioritisation based on use case business value Market Development Collaborate with sales, account management, practice and COE teams to identify and pursue digital transformation opportunities. Support pre-sales activities … 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 ...

data architectures Establishing and governing data architecture standards, principles, and technical patterns Designing logical and physical data models for operational, analytical, and AI use cases Providing architectural oversight and design assurance across delivery teams Supporting data governance, lineage, metadata management and data quality initiatives Contributing to long-term ...

validate machine learning models (regression, classification, clustering, etc. )Conduct feature engineering, hypothesis testing, and model evaluatio nTranslate business requirements into data science use cases and analytical solution sDeliver actionable insights to drive optimisation, efficiency, and performance improvemen tSupport decision-making through data-backed recommendation s Experience & Qualificatio nsExperience ...

Strong stakeholder engagement and communication skills Nice to have: Experience working across multiple datasets/business domains Exposure to AI or advanced analytics use cases Background in high-growth or less mature environments SALARY AND BENEFITS £75,000 Hybrid working (2-3 days in office) Pension scheme Inclusive ...

processes, data integration and pipeline development Advanced SQL/T-SQL skills Experience designing and implementing data models to support reporting and analytical use cases Ability to work closely with both technical and non-technical stakeholders, translating business requirements into data solutions Experience with Python or PySpark, particularly ...

production Architect scalable systems and ensure reliability, performance, and maintainability Collaborate with data scientists, engineers, and business stakeholders to identify and prioritize use cases Build and optimize machine learning models, including training, evaluation, and monitoring Develop proof-of-concept solutions and prototypes to demonstrate business value Define ...

domain and solution-level data architecture aligned to business and technology strategy Designing logical and physical data models supporting operational, analytical and AI use cases Establishing data architecture standards, principles, patterns and reference architectures Providing architectural oversight and guidance to delivery teams Collaborating with business, data, analytics, security ...

platform so the next deployment is faster. Account growth and development. Partner with Sales to identify expansion opportunities within the account—surfacing new use cases, supporting renewal conversations, and ensuring successful deployments convert to long‐term customer relationships. Qualifications: BS/MS in Computer Science, Software Engineering, Engineering ...

foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop. As a staff-level member of the team, you will be expected to set the technical vision, lead high‐impact initiatives ...

Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks. AWS Integration : Solid understanding ...

/ELT pipelines using Informatica and cloud-native technologies. Build scalable data ingestion, transformation, and delivery processes that support operational and analytical use cases. Cloud Data Engineering Develop and optimise data solutions across AWS and Azure platforms. Work with cloud services to improve scalability, resilience, and operational efficiency. ...