276 to 300 of 390 Use Case Jobs in England

translated into actionable business and technology outcomes. Key Responsibilities Mergers & Acquisitions Support pre-deal activities , including target assessment, due diligence, synergy analysis, and value case development Lead business and functional analysis during M&A lifecycle stages (pre-acquisition, Day 1 readiness, and post-merger integration) Document and analyse current … advanced analytics to enhance business performance Collaborate with data scientists, engineers, and technology teams to translate business requirements into AI-enabled solutions Support use cases such as: Process automation Predictive analytics Intelligent reporting and decision support Ensure AI initiatives align with business strategy, governance standards, and ethical ...

have the opportunity to: Develop solutions for complex and unique operating environments Adapt leading edge technology solutions for novel and challenging use cases Build effective multi‐discipline teams capable of delivering to the highest assurance levels Key Reponsibilities Solution Design: Develop scalable, secure architectures for cloud and hybrid … Architecture Practice to win new engagements, leading technical bid responses, solutioning, and client‐facing workshops, while building Logiq’s AI capability through IP development, case studies, and internal enablement. You will collaborate with multi‐disciplinary teams, adapting to various roles within client projects. This is an excellent opportunity ...

core part of the position will involve translating responsible AI principles into practical, repeatable governance patterns that can be applied across multiple AI use cases. This role will also contribute to building organisational capability in responsible AI, helping develop AI literacy and best practices across the business. … deployment. AI Risk & Governance Partner with AI product teams and business stakeholders to support the responsible development of high-profile AI use cases, including emerging technologies such as AI agents. Identify and mitigate AI-related risks, ensuring compliance with internal governance and regulatory expectations. Develop repeatable governance ...

accuracy, bias, and robustness Apply best practices in feature engineering and experimentation 🤖 AI Agent & Workflow Integration Architect reasoning agents using advanced foundation models Use code-generation tooling for automation logic and integration scripting Orchestrate multi-step AI workflows Deploy AI-powered decision layers into enterprise processes Design human … output validation and guardrails Monitor performance and trigger retraining cycles Ensure governance, compliance, and security alignment 📊 Business Impact & Leadership Identify high-impact AI use cases Translate business problems into ML system designs Lead experimentation frameworks (A/B testing, uplift modelling) Mentor data scientists and collaborate closely with ...

secure and aligned with enterprise data strategy. Architect cloud-native data pipelines and data models to support enterprise analytics, BI, reporting and AI use cases. Work closely with technical and business teams to translate requirements into robust, production-ready data solutions. Build & Optimise Fabric Data Pipelines Design … tuning, partitioning strategies, indexing, caching and incremental processing. Define and enforce data engineering standards, governance models, naming conventions and documentation. Ensure cost-efficient use of Fabric capacity, optimising compute utilisation across workloads. Technical Leadership & Collaboration Act as a technical authority for Microsoft Fabric, championing best practice and platform ...

Governance to join their Chief Data Office, responsible for establishing and embedding robust AI governance frameworks, ensuring the ethical and compliant use of AI, and enabling the organisation to scale AI adoption in a controlled and responsible way. This role will operate at the intersection of data science … organisation’s AI governance framework, aligned to business objectives and regulatory requirements. • Establish policies and standards to ensure the responsible, ethical, and compliant use of AI across the organisation. • Identify, assess, and mitigate AI-related risks, including bias, privacy, and model explainability. • Develop governance models across key insurance ...

environment where you’ll learn quickly and ship meaningful work. AI is actively integrated across the organisation, and you’ll help take those use cases further building reliable foundations and turning them into production ready capabilities. You’ll contribute to high-impact workstreams including investor-style onboarding flows … broaden your technical depth and product understanding. What you’ll do Build and scale data pipelines and data products using Python and SQL Use AI-enabled approaches to deliver high-quality data solutions faster, without compromising best practice Own delivery within your domain: data quality, documentation, accountability ...

based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever appropriate. Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency … points for Stack Overflow and Kaggle contributions! What we are looking for Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠 Ability to write clear, robust, and testable code, especially in Python 🐍 Familiarity with SQL and NoSQL/graph databases 🏦 Extensive ...

10+ years of experience to take end-to-end ownership. Key responsibilities: (Up to 10, Avoid repetition) Assess and shape AI and Copilot Use Cases aligned to strategic business objectives, shaping them into well defined proposals with clear value hypotheses and measurable success criteria. Engage with business teams … aware delivery practices. Familiarity with AI ethics, fairness, transparency and accountability principles Ability to translate complex technical and regulatory concepts into practical guidance Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise. Ability to be flexible ...

10+ years of experience to take end-to-end ownership. Key responsibilities: (Up to 10, Avoid repetition) Assess and shape AI and Copilot Use Cases aligned to strategic business objectives, shaping them into well defined proposals with clear value hypotheses and measurable success criteria. Engage with business teams … aware delivery practices. Familiarity with AI ethics, fairness, transparency and accountability principles Ability to translate complex technical and regulatory concepts into practical guidance Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise. Ability to be flexible ...

10+ years of experience to take end-to-end ownership.Key responsibilities: (Up to 10, Avoid repetition) Assess and shape AI and Copilot Use Cases aligned to strategic business objectives, shaping them into well defined proposals with clear value hypotheses and measurable success criteria. Engage with business teams … aware delivery practices. Familiarity with AI ethics, fairness, transparency and accountability principles Ability to translate complex technical and regulatory concepts into practical guidance Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise. Ability to be flexible ...

leading company. Its technology has been recognized by the UK Home Office and has received several prestigious awards. Ipsotek is also pioneering the use of generative AI with Natural Language Detectors and Vision Language Models to augment AI Video Analytics, driving innovation in the security and surveillance industry. … translate technical capability into clear business value. Fluency in AI and modern tooling: comfortable discussing AI/ML concepts, real‐world analytics use cases, and working with contemporary tools such as GenAI assistants, cloud platforms, and workflow automation technologies. Experience with long‐cycle, consultative sales processes involving multi ...

insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation … risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you’ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they ...

insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation … risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you’ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they ...

insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation … risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you’ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they ...

optimising hyperparameters to improve model performance on domain-specific tasks. · Performance Engineering: Optimise latency and throughput of AI applications. Implement caching strategies and use SageMaker Endpoints for efficient inference scaling. · Code Quality & DevOps: Write clean, testable Python code. Build CI/CD pipelines for AI models and manage … data engineering (PySpark) or building classical ML models (Scikit-Learn, XGBoost) is beneficial for handling complex data pre-processing and hybrid AI use cases. ...

Analytics, you will own and shape the organisation's entire data landscape from architecture and governance to analytics, reporting, and AI/ML use cases. You will lead a growing cross functional data team and work closely with senior leaders across the business to embed a data driven … analytics team. Build and embed scalable data governance, quality, and ownership frameworks. Identify, prioritise, and deliver high-impact AI/ML and analytics use cases. Deliver actionable insights and intuitive dashboards to support operational and financial performance. Manage external vendors and strategic delivery partners to ensure strong performance ...

critical role in crafting the orchestration layer that makes LLM systems trustworthy—handling failure modes, optimising agent collaboration, and improving robustness across diverse use cases. Key Responsibilities Build production AI systems using LLMs, RAG pipelines, vector databases, and agentic frameworks Design evaluation and observability frameworks to measure performance … quality Nice to Have Experience with AI‐assisted coding (Claude Code, GitHub Copilot, etc.) Experience fine‐tuning LLMs or deciding when to use fine‐tuning vs RAG/prompting Exposure to streaming, multimodal models, or search technologies (Elasticsearch, etc.) Familiarity with observability tools (LangSmith, Weights & Biases) Experience ...

intelligent business outcomes. By combining deep expertise in SAP technologies with advanced AI and GenAI solutions, we deliver actionable insights and AI-powered use cases across key domains like supply chain, procurement, manufacturing, sales, customer, and vendor management. Our approach ensures value creation, cost optimization, and a clean … Business Data Cloud (BDC) with SAP S/4HANA and non-SAP platforms, enabling seamless data sharing and collaboration for AI/ML use cases across the enterprise. Collaborate with cross-functional teams to identify, prioritize, and deliver AI-powered use cases leveraging SAP Business ...

Azure Platform. Key Responsibilities Lead the design and build of robust, high-performance services for underwriting, claims, and risk-modelling use cases. Write clean, maintainable TypeScript code and champion best practices across projects. Architect, implement, and optimize Azure-based solutions, with strong focus on Containers and App Services …/Functions. Use Databricks for data modelling, transformation, and advanced analytics. Build and maintain CI/CD pipelines using Azure DevOps for seamless, reliable deployments. Apply cloud security best practices and optimize Azure environments for cost, performance, and compliance. Mentor developers, conduct code reviews, and foster a culture ...

workflows (ensuring the right data is available for pricing, and distributed correctly once prices are produced) Supporting asset & liability matching and hedging MI use-cases by providing trusted datasets to investment stakeholders and quant teams Modernising how data is served to consumers, including reworking APIs/data services … use more timely inputs and improve pricing accuracy Helping enable expansion of in-house capability to trade across multiple asset classes, by strengthening data foundations and delivery What you'll do Lead technical design and implementation across data services, APIs, and platform components Set and uphold engineering standards ...

Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models … bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research ...

customers to define their AI and Data Strategy, aligning technology capabilities with business goals. Identify opportunities for AI adoption and co-create innovative use cases with clients. Articulate the business value of Data and AI through impactful storytelling and demonstrable prototypes. Pre-Sales & Solution Development Collaborate with sales … teams to shape AI-driven solutions for key opportunities. Design and present industry-specific AI use casesthat demonstrate measurable outcomes. Support proposal development, technical scoping, and solution presentations. Collaboration & Delivery Enablement Work closely with the AI Centre of Excellence & Execution(AI CoEE)to design and validate customer-specific ...

Opportunity As a Senior Data Scientist Consultant, you will work with public sector and enterprise clients to identify high‐value analytics and AI use cases, design and deliver end‐to‐end solutions, and support their operationalization at scale. You will contribute across the full lifecycle, from discovery … consulting and delivery teams. What you will do: Partner with clients and stakeholders to understand business objectives, identify high‐value AI and analytics use cases, and define clear success measures. Design, prototype, validate, and deliver end‐to‐end data science and AI solutions, from discovery through to production. ...

areas within the DMT Analysing business processes to identify improvements in data management and analytics Supporting the Data Governance Framework through user stories, use cases, and functional requirements while tracking the issues backlog Conducting gap analysis to identify limitations in existing data management systems Participating in user acceptance … team in a fast-paced environment Strong attention to detail and ability to manage multiple priorities Experience producing business documentation, including user stories, use cases, and functional requirements Familiarity with Agile and Waterfall project management methodologies Knowledge of metadata management concepts, modelling, tools, and standards is beneficial ...