1 to 25 of 151 Use Case Jobs in London

high-quality, actionable insights. Our focus is on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company. As Use Case Enablement Product Analyst within BCG's Data Layer Team, you will collaborate with Use Case Enablement Product Owner and cross-functional teams to gather and analyze … cases and applications are equipped with the necessary data pipelines to maximize their impact on business and users. You will play a key role in use case discovery and requirements refinement, while also managing the continuous maintenance and enhancement of data asset quality, accuracy, and stability to support evolving use cases. Detailed responsibilities include … measurable outcomes Help shape GenAI-enabled use cases that contribute to real business impact, through thoughtful prioritization and attention to detail Participate in evaluating use case success metrics and learn from what works (and what doesn't) Serve as the voice of customer or end-user Translate business needs into user stories, engaging end users More ❯

complex Machine Learning and Artificial Intelligence Use Cases to deliver Value within our Group Businesses and Functions (GB/GFs). You will drive use case prioritization, delivery, assurance and help shape the future of the team through hiring and team building initiatives. You will be a trusted thought partner of the GB/GFs … and form deep and trusted relationships with AI developers across the organization. In this role, duties will include: • Use Case Management: Prioritising and managing AI/ML use cases to ensure alignment with business objectives and maximise value delivery. • Delivery Oversight: Leading the execution of AI/ML projects, ensuring timely and quality delivery. • Team More ❯

Own all aspects of the customer lifecycle: onboarding, adoption, usage growth, renewal, and expansion (post-12-month mark). Build deep knowledge of each customer's use case, helping them drive value through new product feature adoption, expand into new markets ultimately help grow their business. Full ownership of renewals, cross-sell and upsells. Collaborate closely with … human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case - making it the go-to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting-edge More ❯

Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive towards a More ❯

capabilities across our cybersecurity solutions. This role focuses on building trustworthy, explainable, and performant software and AI features-while ensuring compatibility with deployment environments that may restrict the use of cloud-based or internet-connected AI services. You will collaborate closely with cross-functional teams to shape the roadmap and execution of offline machine learning models and governed … investment in high-impact capabilities. Conduct and synthesise competitor intelligence to identify industry benchmarks, gaps, and differentiators-informing both product positioning and long-term AI strategy. Use Case Identification and Validation Identify high-value software and AI use cases in the context of intelligent file protection and the broader cybersecurity landscape. Validate feasibility with stakeholders … ensuring solutions are viable without reliance on cloud-based AI inferencing or LLM endpoints. Gather and elicit model requirements from defined use cases to enable agile development, rapid feedback loops, and continuous iteration across the delivery lifecycle. Collaboration with Data Science and Engineering Teams Define model specifications, input/output schemas, and security constraints suitable for self-contained More ❯

unstructured data explore and deliver proof-of-concepts for emerging AI technologies, evaluating their business value and practical applications collaborate with stakeholders to identify and deliver impactful AI use cases across the organisation create clear, compelling, and interactive visualisations that communicate complex data insights to both technical and non-technical audiences gather and refine reporting requirements, tailoring data More ❯

to support the evolution of enterprise modern cloud data platform used for ingesting and processing large volumes of streaming and batch data sets to support analytically and AI use-case. As a key interface between the technical and business stakeholders, you will be responsible for translating data engineering, architectural and analytically requirements into detailed, actionable user stories with More ❯

to drive adoption of Panopto within customer organizations. Track usage patterns and proactively identify risk indicators related to engagement or feature adoption. Deliver tailored training and use-case-specific onboarding to enhance product stickiness. Promote best practices and support new feature adoption in collaboration with Product and Customer Marketing. Customer Education and Enablement: Build and maintain educational … with Support, Account Management, and Product teams to escalate issues and influence roadmap development. Work with Marketing to identify customer success stories, support the reference program, and contribute to case studies. Collaborate with Implementation to support seamless transitions from onboarding to long-term engagement. Contribute to internal playbooks, process improvement initiatives, and team knowledge sharing. Required Qualifications Bachelor's … Offer Job Applicant Privacy Notice (compliant with GDPR) Panopto collects and processes personal data relating to job applicants. We are committed to transparency about how we collect and use that data and to meeting our data protection obligations. The information we collect includes your name, contact details, qualifications, remuneration, eligibility to work, and other data necessary for recruitment. More ❯

you will work closely with the customer to validate, and where needed, further uncover the customer's current and desired state alongside establishing key success criteria for their use of Productboard You will create and communicate a detailed onboarding and enablement plan with clear success milestones to drive toward attainment of first value for the customer You will … stakeholders needed for Productboard success You will develop an extensive working knowledge of Productboard products, services, and best practices. Be the trusted partner for customers on use-case and product functionality Advocate for the customer; Provide updates to internal cross-functional partners (Product Management, Product Development, Sales) on customer perspectives, risks, strategic insights, issue resolution activities, executive … built and customer-centric product management platform that helps organizations get the right products to market, faster. More than 6,000 companies, including Microsoft, Zoom, Salesforce, and Cartier, use Productboard to understand what users need, prioritize what to build next, and rally everyone around their roadmap. With offices in San Francisco, Prague, Vancouver, London, Dublin, and Brno, Productboard More ❯

Knowledge of Options modelling and Dependency graphs. 2) Demonstrated capability across most of the following architecture facets: Data - Deep knowledge of data modelling for both transactional and analytic use cases, familiarity with real-time reporting techniques (including distributed caching), vendor and bespoke reporting tools, data migration and reconciliation techniques and tools. Familiarity with MongoDB unstructured Database. Technical - Hands More ❯

Knowledge of Options modelling and Dependency graphs. 2) Demonstrated capability across most of the following architecture facets: Data - Deep knowledge of data modelling for both transactional and analytic use cases, familiarity with real-time reporting techniques (including distributed caching), vendor and bespoke reporting tools, data migration and reconciliation techniques and tools. Familiarity with MongoDB unstructured Database. Technical - Hands More ❯

AI, with the ability to then leading the end-to-end delivery of AI/ML projects, from discovery and design through to deployment and monitoring. Identifying AI use cases and building business cases for AI adoption Advising and upskilling clients on AI/ML operating models, governance frameworks, and responsible AI/ML practices. Translating business requirements More ❯

guide both internal and external stakeholders through the implementation of scalable Generative AI solutions. Key Responsibilities Lead the fine-tuning, distillation, and deployment of LLMs for high-impact use cases in clinical research and commercial life sciences. Drive data engineering processes to convert structured and unstructured data into high-quality, trainable datasets. Design and implement AI agents using More ❯

guide both internal and external stakeholders through the implementation of scalable Generative AI solutions. Key Responsibilities: Lead the fine-tuning, distillation, and deployment of LLMs for high-impact use cases in clinical research and commercial life sciences. Drive data engineering processes to convert structured and unstructured data into high-quality, trainable datasets. Design and implement AI agents using More ❯

grade Data solutions and advanced analytics capabilities. Scope of role: Play a key role to developing firms AI strategy and roadmap. Develop and implement Data Science and analytics use cases aligning Business priorities. Design and deploy predictive models and AI/ML prototypes Buils robustand interpretable models for forcasting, clustering and optimisation. Act as the Lead on solution More ❯

impactful business solutions. Strong experience with cloud platforms, specifically Azure AI Studio, Azure Databricks, and other Azure services. Proven ability to manage and execute multiple AI and analytics use cases simultaneously in complex, global environments. Exceptional communication skills, with the ability to articulate technical concepts to non-technical stakeholders and align teams around a shared vision. Strong leadership More ❯

Collect and analyze customer business needs through interviews, workshops, surveys, site visits, and document analysis. Work with Clients and the technical team to define requirements, user stories, tasks, use cases, and other artifacts. Collaborate with internal technical teams, subject matter experts, and product development to maintain focus on project vision and execution. Mandatory Requirements & Qualifications: Legal right to More ❯

level. Excellent understanding of digital marketing/product experiences and respective industry knowledge. Specific experience in the following topics is an advantage: GEO/SEO understanding and proven use cases Site search solutions (e.g. Yext, Algolia, Elasticearch) Headless CMS/DXP platforms (Contentful, Sitecore, AEM etc) REST/GraphQL APIs Modern Web Development & Accessibility Analytics platforms LLMs, RAG More ❯

Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans More ❯

smart contracts, to automate trade finance processes and improve data integrity. Stablecoin Integration: Evaluate potential and lead integration of stablecoin solutions for cross-border payments, settlement, and other use cases in trade finance. This is a leadership position responsible for recruiting, mentoring, and leading a high performing, multidisciplinary team of data scientists, data engineers, blockchain specialists, technology innovators More ❯

support strategic decision-making for 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 property within the Data & AI More ❯

buy' decisions Establish, managed and drive to achieve the business objectives for the Insight and Hindsight focused portfolio. Interact extensively with customers to understand their business challenges and use cases in great depth Thoroughly understand competitive products and strategy, and how they influence customer decision-making Predict trends within customer segments and apply deep knowledge of how value More ❯

Studio, guiding them through the integration of AI-driven tools that enhance productivity, automate workflows, and surface critical insights. Youll consult with teams on Copilot readiness, adoption, develop use cases, and support the creation and management of custom copilots tailored to unique business needs. If you have a passion for translating technical complexity into practical value and a More ❯

to tangible solutions and educating AWS customers about the art of the possible. You will have the opportunity to implement cloud-native reference architectures for a variety of use cases. The Solutions Architecture team is a diverse group of technologists from a variety of backgrounds. Practical knowledge of the AWS platform is desired but not required, provided you More ❯

tier firm or internal transformation role within Financial Services Familiarity with AI tools or platforms such as Azure AI, AWS SageMaker, or TensorFlow Hands-on experience implementing AI use cases in regulated environments Knowledge of frameworks like NIST AI RMF, ISO 38507, or DAMA DMBOK Relevant certifications in Responsible AI, AI Ethics, Risk Management, or Data Governance Why More ❯