326 to 350 of 390 Use Case Jobs in London

and ensure data becomes a true strategic lever for business growth and operational excellence. Key Responsibilities Lead data due diligence for new investments, developing value creation plans that use data as a driver of business improvement. Conduct data maturity assessments across portfolio companies, identifying opportunities to enhance data capabilities. Partner with portfolio leadership teams to execute data transformation … backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C-level. Comfortable operating in fast-paced, ambiguous environments More ❯

AI models and algorithms. Working collaboratively with the team to ensure project deadlines are met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware … training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape AI use cases. Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench/ More ❯

our clients to go further in their digital journeys than what has ever been possible in the past. At BCG Platinion, we deliver business value through the innovative use of technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application … solve their modernisation and digitalization problems. You will help to understand their key challenges, define tech visions and IT strategies, win buy-in for your recommendations and lead BCG case team members to transform client potential into performance. Besides giving direction on the functional, execution and management of the project, you will be given end-to-end responsibility for … or similar). Familiarity with Lean ETRM concepts and modular IT landscapes (e.g., microservices, APIs, containerized solutions). Strong background in data platforms, analytics, and integration for trading use cases (real-time data feeds, pricing, forecasting, optimization). Knowledge of automation and algorithmic trading capabilities in the context of power and gas trading. Domain Experience: Practical experience in More ❯

d with some flexibility We are seeking an experienced Data Architect to lead the design, implementation, and governance of enterprise data solutions. This role will emphasize operational data use cases — designing data flows that support day-to-day business operations, core applications, and real-time services — while also ensuring robust analytical and reporting capabilities. The ideal candidate will … both transactional and analytical data. Skills Solid xperience in enterprise data architecture, data strategy, and cloud architecture and roadmap development of data transformation programme. Expertise in operational data use cases: real-time data processing, APIs, messaging/streaming (Kafka, Pub/Sub, MQ), MDM, and transactional data flows. Strong background in data modeling (conceptual, logical, physical) with a More ❯

d with some flexibility We are seeking an experienced Data Architect to lead the design, implementation, and governance of enterprise data solutions. This role will emphasize operational data use cases — designing data flows that support day-to-day business operations, core applications, and real-time services — while also ensuring robust analytical and reporting capabilities. The ideal candidate will … both transactional and analytical data. Skills Solid xperience in enterprise data architecture, data strategy, and cloud architecture and roadmap development of data transformation programme. Expertise in operational data use cases: real-time data processing, APIs, messaging/streaming (Kafka, Pub/Sub, MQ), MDM, and transactional data flows. Strong background in data modeling (conceptual, logical, physical) with a More ❯

Responsibilities Design, develop, and deploy agentic AI systems that support autonomous reasoning and decision-making Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations Implement and fine-tune models for language understanding, decision automation, and data insight generation Evaluate and integrate open … source and commercial AI frameworks into orchestration workflows Ensure AI solutions are explainable, auditable, and compliant with public- sector governance standards Advise on AI strategy, ethical use, and adoption roadmaps for clients Contribute to internal R&D, thought leadership, and Cascis AI propositions Support bids and client engagements where AI capability is a key differentiator Essential Deep understanding More ❯

Responsibilities Design, develop, and deploy agentic AI systems that support autonomous reasoning and decision-making Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations Implement and fine-tune models for language understanding, decision automation, and data insight generation Evaluate and integrate open … source and commercial AI frameworks into orchestration workflows Ensure AI solutions are explainable, auditable, and compliant with public- sector governance standards Advise on AI strategy, ethical use, and adoption roadmaps for clients Contribute to internal R&D, thought leadership, and Casci’s AI propositions Support bids and client engagements where AI capability is a key differentiator Essential Deep More ❯

Responsibilities Design, develop, and deploy agentic AI systems that support autonomous reasoning and decision-making Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations Implement and fine-tune models for language understanding, decision automation, and data insight generation Evaluate and integrate open … source and commercial AI frameworks into orchestration workflows Ensure AI solutions are explainable, auditable, and compliant with public- sector governance standards Advise on AI strategy, ethical use, and adoption roadmaps for clients Contribute to internal R&D, thought leadership, and Cascis AI propositions Support bids and client engagements where AI capability is a key differentiator Essential Deep understanding More ❯

Responsibilities Design, develop, and deploy agentic AI systems that support autonomous reasoning and decision-making Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations Implement and fine-tune models for language understanding, decision automation, and data insight generation Evaluate and integrate open … source and commercial AI frameworks into orchestration workflows Ensure AI solutions are explainable, auditable, and compliant with public- sector governance standards Advise on AI strategy, ethical use, and adoption roadmaps for clients Contribute to internal R&D, thought leadership, and Casci’s AI propositions Support bids and client engagements where AI capability is a key differentiator Essential Deep More ❯

Responsibilities Design, develop, and deploy agentic AI systems that support autonomous reasoning and decision-making Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations Implement and fine-tune models for language understanding, decision automation, and data insight generation Evaluate and integrate open … source and commercial AI frameworks into orchestration workflows Ensure AI solutions are explainable, auditable, and compliant with public- sector governance standards Advise on AI strategy, ethical use, and adoption roadmaps for clients Contribute to internal R&D, thought leadership, and Cascis AI propositions Support bids and client engagements where AI capability is a key differentiator Essential Deep understanding More ❯

Responsibilities Design, develop, and deploy agentic AI systems that support autonomous reasoning and decision-making Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations Implement and fine-tune models for language understanding, decision automation, and data insight generation Evaluate and integrate open … source and commercial AI frameworks into orchestration workflows Ensure AI solutions are explainable, auditable, and compliant with public- sector governance standards Advise on AI strategy, ethical use, and adoption roadmaps for clients Contribute to internal R&D, thought leadership, and Casci’s AI propositions Support bids and client engagements where AI capability is a key differentiator Essential Deep More ❯

in the UK, Singapore and increasingly in the US. The AI Platforms team is positioned to partner with the firms global AI leadership to evaluate and operationalize AI use cases in building the law firm of the future. Technology Platforms To own, improve and simplify the firms key technology building blocks by designing, building and managing the technology … other platforms. Performance monitoring and KPIs: Define and track key performance indicators (KPIs) to measure the success of the platform, including performance, stability, adoption, and overall business value. Use this data to inform future roadmap decisions. Stakeholder collaboration: Act as a liaison between business units, technical teams (engineering, data science), and other stakeholders to gather requirements, understand pain More ❯

frameworks for high-risk AI systems, aligned with the EU AI Act, FCA/PRA AI Principles, and ISO/IEC 42001. Conduct technical risk assessments on AI use cases, focusing on model behaviour, data governance, and user interaction. Collaborate on the development of model cards, risk registers, and post-market monitoring plans. Microsoft Purview Integration: Use … and external regulations. Provide technical input on risk mitigation strategies and onboarding documentation. Security & DevSecOps Integration: Integrate AI security controls into CI/CD pipelines and MLOps workflows. Use tools such as Azure Key Vault, Microsoft Entra ID, and GitHub Actions for secure deployment and access management. Monitor AI systems using Azure Monitor, Log Analytics, and Application Insights. More ❯

and updates to the Portfolio Management Office. Key Accountabilities include; Data Analysis: Analyse user behaviour, product usage, and feedback to generate actionable insights for AI-enabled digital services. Use tools such as Power BI, Python, or R to visualise data and support decision-making across product lifecycles User Research: Conduct qualitative and quantitative research to understand user needs … and pain points in relation to AI-driven products. Requirements Gathering Collaborate with product owners, technical teams, and policy leads, to define clear and measurable requirements for AI use cases Market Analysis Conduct horizon scanning and market research to identify emerging AI technologies and trends relevant to electoral services. Reporting Prepare structured reports and dashboards for the Portfolio More ❯

tech capabilities. Collaborate with clients to co-develop tech-enabled legal solutions. Develop and maintain strong connections with our external legal tech vendors. Innovation & Continuous Improvement Identify new use cases and opportunities for existing technologies to enhance client service delivery. Monitor legal tech market trends and emerging technologies, providing strategic insights and recommendations. Maintain and share internal and … external legal tech know-how across the firm. Operational Excellence Oversee legal tech deployment on client matters, ensuring optimal use of tools and alignment with client needs. Manage day-to-day administrative tasks including internal site management and responding to queries from fee earners. Essential & Desirable Criteria: Technical Skills & Experience Proven experience in leading legal technology initiatives within More ❯

clearly explain the decisions made by our system without overloading the user. Back-end: Build systems that can scale to large volumes of requests without sacrificing reliability. AI: Use the latest in LLMs, agents and computer vision to build systems that are faster, more thorough and more accurate than humans. Devops: Ensure that we maintain fast deployments and … Develop and test prompts to optimise model performance and deliver high-quality outputs. Model Fine-Tuning: Adapt and fine-tune large language models and vision models for specific use cases. Custom Model Training: Train and deploy bespoke AI models tailored to solve unique compliance challenges. Collaboration: Work closely with the engineering and product teams to translate customer needs More ❯

and supports growth. Analyse business performance and identify key drivers, opportunities, and risks. Maintain and enhance dashboards and BI solutions to ensure consistency, accuracy, and value. Champion the use of data across the business to enable better, evidence-based decisions. Promote and enable self-service insight, leveraging the latest BI/AI technology to bring our colleagues closer … non-technical teams. Nice to Have Skills Experience with Salesforce data, reporting, or integration. Familiarity with ThoughtSpot or Power BI. Exposure to JavaScript for data visualisation or automation use cases. Experience with Snowflake. Why Join us? Join a forward-thinking, innovative company that's shaping the future of finance You'll join a talented, collaborative team in a More ❯

enterprise scale. The Role As an AEM Architect – Adobe Experience management, you will have an extensive experience in consulting or technology organizations and in-depth understanding of typical use cases of Digital Platform implementations (CMS, Forms, Campaign, Target, Analytics, Launch, AEP, etc) of the Adobe Marketing Suite to join the TCS Adobe Practice Team. Your responsibilities: Define KPIs … for new projects and enhancements and utilize best practices to design and architect best fit solution. Construct a technical architecture of multiple solutions fitting client’s industry standards, use cases, strategy and technical needs. Work with Technical Leads to design a solution that optimally utilizes Adobe tools and supports clients’ use cases, strategy and industry standards. … completing the application and at any stage of the recruitment process. Next Steps: Application Process Online application: You can apply directly through LinkedIn/by uploading your CV. In case you wish to submit your application via another format like audio/video, please, contact - UKI.recruitment@tcs.com Skill-Based discussion: This will be a level 1 interview with the More ❯

enterprise scale. The Role As an AEM Architect – Adobe Experience management, you will have an extensive experience in consulting or technology organizations and in-depth understanding of typical use cases of Digital Platform implementations (CMS, Forms, Campaign, Target, Analytics, Launch, AEP, etc) of the Adobe Marketing Suite to join the TCS Adobe Practice Team. Your responsibilities: Define KPIs … for new projects and enhancements and utilize best practices to design and architect best fit solution. Construct a technical architecture of multiple solutions fitting client’s industry standards, use cases, strategy and technical needs. Work with Technical Leads to design a solution that optimally utilizes Adobe tools and supports clients’ use cases, strategy and industry standards. … completing the application and at any stage of the recruitment process. Next Steps: Application Process Online application: You can apply directly through LinkedIn/by uploading your CV. In case you wish to submit your application via another format like audio/video, please, contact - UKI.recruitment@tcs.com Skill-Based discussion: This will be a level 1 interview with the More ❯

banks and mortgage lenders. You'll manage a small team of analysts while staying close to delivery - combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions. Key Responsibilities Team Leadership : Mentor and support 2-3 analysts; oversee workload and ensure high-quality output Client-Facing Analytics : Present … Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines Innovation Support : Help evolve the product set through insight-led thinking across financial services use cases What We're Looking For 5-7 years' experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors Proven experience mentoring or managing analysts (or … Ability to manage multiple projects and stakeholders Strong presentation skills and a curious, solutions-driven mindset Why Apply? Strategic, visible role with direct impact on how financial clients use data Competitive salary up to £90,000 Hybrid working - 2 days/week in the London office (Tuesdays required) Work within a high-calibre analytics team under supportive leadership More ❯

banks and mortgage lenders. You'll manage a small team of analysts while staying close to delivery - combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions. Key Responsibilities Team Leadership : Mentor and support 2-3 analysts; oversee workload and ensure high-quality output Client-Facing Analytics : Present … Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines Innovation Support : Help evolve the product set through insight-led thinking across financial services use cases What We're Looking For 5-7 years' experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors Proven experience mentoring or managing analysts (or … Ability to manage multiple projects and stakeholders Strong presentation skills and a curious, solutions-driven mindset Why Apply? Strategic, visible role with direct impact on how financial clients use data Competitive salary up to £90,000 Hybrid working - 2 days/week in the London office (Tuesdays required) Work within a high-calibre analytics team under supportive leadership More ❯

a particular focus on business analysis, testing, and overall project delivery. The successful candidate will define and execute the Copilot strategy, build an innovation pipeline for AI productivity use cases, and work closely with senior stakeholders globally to embed automation and efficiency across the business. Key Responsibilities Develop and implement a comprehensive Copilot and AI innovation strategy for … solutions. Collaborate closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases outside traditional development functions. Identify, prioritize, and drive productivity improvements across project management, QA, and documentation. Partner with senior global stakeholders (London and New York) to evangelize AI More ❯

a particular focus on business analysis, testing, and overall project delivery. The successful candidate will define and execute the Copilot strategy, build an innovation pipeline for AI productivity use cases, and work closely with senior stakeholders globally to embed automation and efficiency across the business. Key Responsibilities Develop and implement a comprehensive Copilot and AI innovation strategy for … solutions. Collaborate closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases outside traditional development functions. Identify, prioritize, and drive productivity improvements across project management, QA, and documentation. Partner with senior global stakeholders (London and New York) to evangelize AI More ❯

their charity-focused product, Chat2Impact. Youll work closely with clients and their internal teams to bring ideas to life from concept through to deployment helping businesses and charities use AI for good. This is a 4 day a week role (Mon-Thurs), with a competitive salary up to £70k (Pro Rata). Key Responsibilities of the AI Software … and create meaningful impact. Their AI-driven solutions are used by global brands and major public institutions. Their work spans: Consultancy: Helping clients identify the most effective AI use cases and integration strategies. Implementation: Delivering end-to-end AI solutions from design and development to testing and rollout. Support: Enabling long-term success through training, maintenance and optimisation. More ❯

About The Role We a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering 245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before. With over 2,500 employees across the globe, we … product vision and roadmap: Define and implement the strategy for data modelling and workflow optimization across the platform, ensuring it supports complex organizational needs. Data-driven product development: Use customer insights, data trends, and feedback to continuously optimize how users create and manage their workflows on Cross-functional collaboration: Work closely with engineering teams to design scalable data More ❯