76 to 100 of 332 Use Case Jobs in London

understand audience segments and behaviour. Contribute to ad hoc analysis across the business, including forecasting site traffic and evaluating new initiatives. Explore emerging use cases such as AI-driven content enhancements and their impact on engagement. Data & Reporting Query large-scale datasets within a cloud data warehouse environment. ...

clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving. Contribute to Practice Development: Actively participate in the development of point of views, thought ...

clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving. Drive Practice Development: Lead the development of point of views, thought leadership and intellectual ...

data pipelines that serve a variety of internal teams. They build and optimise central data models that support analytics, machine learning, and operational use cases. The role involves working with modern data stack technologies such as Databricks, AWS, dbt, Airflow, and Looker. They lead complex technical initiatives, improve ...

language models, with a focus on response quality, reliability and performance. Building agentic workflows and conversational flows for both customer-facing and internal use cases. Defining evaluation frameworks and quality metrics for AI-generated outputs. Collaborating with product and engineering teams to integrate AI solutions into live systems. ...

data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business ...

data engineering, ensuring our stack scales with the business. Design, maintain, and evolve robust data pipelines and architecture to support low latency batch use cases. Oversee the implementation of data models and frameworks that support analytics, and business intelligence. Drive engineering best practices across testing, monitoring, version control ...

data engineering, ensuring our stack scales with the business. Design, maintain, and evolve robust data pipelines and architecture to support low latency batch use cases. Oversee the implementation of data models and frameworks that support analytics, and business intelligence. Drive engineering best practices across testing, monitoring, version control ...

tech team remain aligned with product objectives and timelines. Awareness of operating models (both current and target state) and how to develop and use them on projects/programmes Experience of working on complex projects and programmes involving broad-based business change Excellent stakeholder management at all levels … Experience of providing both functional and technical expertise to the Technology teams in producing detailed requirements documentation (e.g. detailed process maps, use case specifications, wireframes, logical data models, traceability matrices) Experience of managing complexity and change and an awareness of the associated technical impacts to the organisation ...

located in the London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing ...

located in the London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing ...

development of clean, well-optimised data models following established Kimball-style principles Help design and improve aggregation and transformation logic for analytics use cases Work with Data Engineers to understand upstream sources and ensure transformations are reliable and well-structured Contribute to data quality checks, testing suites ...

/ML solutions across text, imagery, audio, video and geospatial data Work closely with ML engineers, project managers and government customers Scope AI use cases, contribute to bids, and present findings to technical and non-technical audiences Mentor junior data scientists and help shape AI best practice Requirements ...

/ML solutions across text, imagery, audio, video and geospatial data Work closely with ML engineers, project managers and government customers Scope AI use cases, contribute to bids, and present findings to technical and non-technical audiences Mentor junior data scientists and help shape AI best practice Requirements ...

experience managing requirements for large, complex projects. Methodologies: Proven expertise in Waterfall, Iterative, and Agile environments. Technical Skills: Proficiency in Business Process Modelling, Use Cases, Data Requirements, User Stories, and Backlog Management. Education: Relevant degree in Business Analysis; CBAP or PMI-PBA certifications are highly preferred.If ...

testing, UAT and production readiness Partnering with third-party vendors on solution evaluation and requirements alignment Producing high-quality documentation including process models, use cases, user stories and acceptance criteria Providing guidance and mentoring to junior Business Analysts Ensuring adherence to enterprise BA standards and methodologies What ...

space by integrating Machine Learning & GenAI into FP&A processes for our clients. Develop cutting-edge analytical and planning scenario use-cases that can be leveraged as assets in pursuits & delivery. Provide advisory on FP&A process optimization and EPM best practices ...

assumptions to balance innovation with delivery feasibility. Provide thought leadership by shaping enterprise AI adoption roadmaps , evangelizing responsible AI , and highlighting emerging AI use cases across industries . Collaborate with partners, hyperscalers, and ecosystem vendors , negotiating joint solution constructs and go-to-market strategies. Engage with industry analysts ...

assumptions to balance innovation with delivery feasibility. Provide thought leadership by shaping enterprise AI adoption roadmaps , evangelizing responsible AI , and highlighting emerging AI use cases across industries . Collaborate with partners, hyperscalers, and ecosystem vendors , negotiating joint solution constructs and go-to-market strategies. Engage with industry analysts ...

firm, ensuring consistency, clarity, and measurable operational improvements. 4. AI Strategy & Enablement Develop and lead the firm’s AI strategy, identifying high-impact use cases across investment research, deal sourcing, risk modelling, client engagement, and operational automation. Partner with investment teams, quant groups, and business stakeholders to deliver ...

firm, ensuring consistency, clarity, and measurable operational improvements. 4. AI Strategy & Enablement Develop and lead the firm’s AI strategy, identifying high-impact use cases across investment research, deal sourcing, risk modelling, client engagement, and operational automation. Partner with investment teams, quant groups, and business stakeholders to deliver ...

ready solutions. Translate complex marketing, data, and regulatory requirements into clear product requirements, platform capabilities, and prioritized backlogs. Identify and pilot AI-driven use cases such as predictive segmentation, next-best-action, content optimization, and automated campaign decisioning. Establish measurement frameworks to assess marketing effectiveness, incrementality ...

roadmap, and execution for core modular platform components that power AI workers, workflows, and data pipelines across the product. Translate internal and external use cases into platform capabilities, ensuring the framework is reliable, configurable, and efficient to build on. Work across domains such as AI‐driven enterprise workflow ...

with clients and users Strong hands-on Python experience Designing and implementing efficient data transformation processes at scale, in either batch or streaming use cases Contributing to the cloud infrastructure underpinning data systems through a DevOps approach Basic understanding of the possible architectures involved in modern data system ...

with clients and users Strong hands-on Python experience Designing and implementing efficient data transformation processes at scale, in either batch or streaming use cases Contributing to the cloud infrastructure underpinning data systems through a DevOps approach Basic understanding of the possible architectures involved in modern data system ...