26 to 50 of 671 Use Case Jobs in London

analysis, management, and testing-especially within trading, market data, and analytics platforms. This role offers a unique opportunity to contribute to data-driven initiatives supporting trading and analytics use cases across the Oil & Gas domain. Key Responsibilities Gather, define, and document business and data requirements for analytics and reporting projects. Conduct data profiling, gap analysis , and root cause More ❯

build and deliver. Required Skills Experience in using GenAI in Test Automation e.g. GitHub Copilot or equivalent Excellent Problem-Solving skills and interpersonal skills. Ability to convert business use cases and problems into technical test solutions. Proven history of being accountable for the overall quality of the product and services within that product. Experience in working closely with More ❯

and work completed. Select appropriate tools and infrastructure for visual quality testing. Debug, identify root causes, and resolve defects within our test frameworks. Launch testing campaigns for various use cases to evaluate our codec releases and integration scenarios. Review design and development work of peers within the test group. Participate actively in agile ceremonies, providing input during planning More ❯

and sprint deliveryensuring projects are delivered on time and to a high standard Support the development of real-time and batch ML workflows across a variety of business use cases Collaborate closely with data scientists to move prototypes into high-quality production systems Platform & Engineering Standards Contribute to the design and evolution of our internal ML platform and More ❯

Handling and transforming various data types (JSON, CSV, etc.) using Apache Spark, Databricks, or Hadoop Understanding modern data system architectures (Data Warehouse, Data Lakes, Data Meshes) and their use cases Creating data pipelines on cloud platforms with error handling and reusable libraries Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.) Implementing robust DevOps More ❯

latest advancements in Large Language Models (LLMs) to help shape the future of financial services. Responsibilities Collaborate with product owners and business stakeholders to identify pain points, define use cases, and translate business needs into AI/ML solutions. Develop, test, and optimize AI models, ensuring they align with business goals and regulatory requirements. Work closely with MLOps More ❯

the enterprise data landscape within SAP Analytics Cloud, ensuring scalable, secure, and high-performance data environments. * Design and implement complex data models that support both operational and analytical use cases, leveraging advanced features such as spaces, views, and semantic modelling. * Lead data integration initiatives, orchestrating seamless ingestion and harmonization of data from SAP (e.g., S/4HANA, BWS More ❯

maintain the enterprise data landscape within SAP Datasphere, ensuring scalable, secure, and high-performance data environments. * Design and implement complex data models that support both operational and analytical use cases, leveraging advanced features such as spaces, views, and semantic modelling. * Lead data integration initiatives, orchestrating seamless ingestion and harmonization of data from SAP (e.g., S/4HANA, BWS More ❯

Responsibilities Develop Customer Data Strategies: Design strategies to enable personalised customer experiences across online and offline channels. Product Management: Define and manage customer data products, including use case prioritisation, roadmap development, and value measurement. Data Modernisation: Apply modern data principles to transform legacy systems into scalable, cloud-native architectures. Customer Data Architecture: Collaborate with architects to design More ❯

software engineering, data engineering, and distributed systems knowledge to build modern enterprise payment applications. Build reliable, high-throughput, low-latency microservices to power a diverse range of trading use cases Engage in the complete software development lifecycle by collecting requirements, showcasing solid software design principles, and maintaining operational excellence through unit and integration testing Be a true owner More ❯

supporting secure access and identity workflows, such as SSO and role-based access. Building and maintaining custom data pipelines that enable structured and unstructured onboarding for high-value use cases. Troubleshooting client issues and delivering elegant solutions with a sense of urgency and professionalism. Collaborating cross-functionally with Product, Intelligence, Growth, and Client Success to shape the roadmap More ❯

requirements. Collaborate with technical architects, data scientists and NLU analysts at prospective customers to explain how we deliver our solutions, products, and platform. Facilitate and drive use case workshops with prospective customers. Analyze conversational UX use cases for feasibility and value creation for the client. Prepare a high-level estimate of effort involved and skills More ❯

requirements. Collaborate with technical architects, data scientists and NLU analysts at prospective customers to explain how we deliver our solutions, products, and platform. Facilitate and drive use case workshops with prospective customers. Analyze conversational UX use cases for feasibility and value creation for the client. Prepare a high-level estimate of effort involved and skills More ❯

organizations, and investment banks. Client Engagement: Build and maintain strong client relationships, understanding their compliance needs and delivering tailored solutions using advanced analytics and AI frameworks. Use Case Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and … execution, especially in financial contexts. Experience with compliance governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance use cases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible More ❯

organizations, and investment banks. Client Engagement: Build and maintain strong client relationships, understanding their compliance needs and delivering tailored solutions using advanced analytics and AI frameworks. Use Case Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and … execution, especially in financial contexts. Experience with compliance governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance use cases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible More ❯

Agile and Waterfall methodologies. Ability to manage multiple priorities and work independently. Knowledge & Experience: Proven experience in business analysis within complex environments. Familiarity with business modelling techniques (e.g., use cases, process models). Experience with MS Dynamics 365 and tools like Azure DevOps or JIRA. Understanding of housing management systems (e.g., Orchard, Asprey) – desirable. Knowledge of regulatory frameworks More ❯

requirements. Lead and facilitate structured workshops, stakeholder interviews, and working groups to extract detailed requirements for new and existing strategic initiatives. Translate complex business needs into user stories, use cases, and functional specifications, ensuring alignment with development team capabilities. Provide regular updates to stakeholders through status reports, dashboards, and presentations, ensuring transparency and accountability. Display a strong delivery More ❯

advisor to C-suite stakeholders, advocating for AI and data-driven decision making Working closely with innovation and product teams to identify and deliver impactful ML and AI use cases Supporting the rollout of an AI-powered platform that automates insights and trends from structured and unstructured data Overseeing predictive machine learning initiatives and data science best practices More ❯

advisor to C-suite stakeholders, advocating for AI and data-driven decision making Working closely with innovation and product teams to identify and deliver impactful ML and AI use cases Supporting the rollout of an AI-powered platform that automates insights and trends from structured and unstructured data Overseeing predictive machine learning initiatives and data science best practices More ❯

advanced data ecosystems is essential. You should have experience in building efficient, scalable data services and integrating data systems with AWS tools and services to support various customer use cases and applications. Key job responsibilities Provide technical leadership, lead data engineering initiatives, and build scalable, reliable analytical solutions. Work with large datasets, focusing on data organization and curation More ❯

DXC Have proven stakeholder management and communication skills, leveraged to influence and persuade on key architectural decisions Have experience designing Cloud/Data Platforms & AI solutions and insurance use cases, including Gen AI; and are inquisitive and keen to explore areas of emerging technologies Set yourself apart (were very interested in hearing from you if you have some More ❯

DXC Have proven stakeholder management and communication skills, leveraged to influence and persuade on key architectural decisions Have experience designing Cloud/Data Platforms & AI solutions and insurance use cases, including Gen AI; and are inquisitive and keen to explore areas of emerging technologies Set yourself apart (we're very interested in hearing from you if you have More ❯

maintain the enterprise data landscape within SAP Datasphere, ensuring scalable, secure, and high-performance data environments. Design and implement complex data models that support both operational and analytical use cases, leveraging advanced features such as spaces, views, and semantic modelling. Lead data integration initiatives, orchestrating seamless ingestion and harmonization of data from SAP (e.g., S/4HANA, BW More ❯

point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings. Experience in ML/Computational Statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouraged. A track record of scoping and delivering projects in a customer facing role 2+ years More ❯

underpinning a number of critical projects. Our new Delivery lead will be accountability for the technology deliverables of key new data products, plus overseeing the implementation of prioritised use cases on the Data Platform. The role will require you to drive cross-functional collaboration across engineering, security, and business teams, to remove road blocks and successfully deliver our More ❯