876 to 900 of 4,209 Analytics Jobs in the UK

reporting, and measurement frameworks to assess adoption and effectiveness. Engage senior stakeholders to promote governance as a business-enabling capability. Support governance requirements across analytics, reporting, AI, and machine learning initiatives. Drive improvements in metadata management, data lineage, business glossaries, and data cataloguing. Ensure compliance with data protection, privacy, security … frameworks. Previous exposure to Master Data Management (MDM) programmes. Experience within regulated industries, professional services, publishing, legal, or information services environments. Exposure to enterprise analytics, reporting, and data product initiatives. ...

everything we do. A culture of proactiveness and a customer‐centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user‐friendly and intuitive … vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the company Lakehouse platform. Contribute to the company technical community engagement by developing customer‐facing collateral and leading workshops, seminars ...

details for this role.**Job Description:**This is a hybrid role within our Treasury technology group that covers:* Business analyst within our Treasury Analytics Group.* Support for our FIS Quantum & TBSM applications within our Production Support Group.The **Treasury Analytics Group**is responsible for measurement and management of market risk (interest … retail portfolios. The team develops financial models and processes required for measuring, transfer pricing, hedging product profitability, and financial management reporting. The Treasury Analytics Group is embarking on a brand new initiative to build the next generation strategic platform for risk, valuations and analytics to meet the growing and future ...

scale. Why this role stands out This isn t just another senior data science position. It s a chance to shape the future of analytics in one of the UK s most successful privately owned technology businesses, a market leader trusted by millions and driven by data at its core. … influence over large-scale analytical systems and strategy. Clear opportunities for career growth within an expanding Data Science function. If you re passionate about analytics, machine learning, and building systems in real time, this could be the opportunity you ve been waiting for. Apply now to find out more. ...

strong stakeholder partnership to drive real impact. You'll sit within our centralised Product Data team and work closely with Product and Engineering, owning analytics across the full product lifecycle, from defining problems and success metrics through to launching, measuring, and optimising products at scale. Your work will directly influence … better, faster decisions through trusted insights and clear narratives. You'll also raise the leverage of the whole team by building reusable, AI-assisted analytics skills that let the wider org self-serve reliable answers. This is a great opportunity for someone who enjoys turning complex data into clear direction ...

scale. Why this role stands out This isn’t just another senior data science position. It’s a chance to shape the future of analytics in one of the UK’s most successful privately owned technology businesses, a market leader trusted by millions and driven by data at its core. … influence over large-scale analytical systems and strategy. Clear opportunities for career growth within an expanding Data Science function. If you’re passionate about analytics, machine learning, and building systems in real time, this could be the opportunity you’ve been waiting for. Apply now to find out more. ...

+ Bonus & Benefits An exciting opportunity has arisen for a HR Data & Systems Analyst to join a highly technical, in-house HR Systems and Analytics team within a leading professional services organisation. Sitting between the HR Systems and Data & Insights functions, this role will play a key part in supporting … working with APIs, integrations, or HR data warehouses. Advanced Excel skills. Why Join? Opportunity to work within a highly technical, collaborative HR Systems and Analytics team. Significant involvement in key payroll and Workday transformation projects. Exposure to a modern HR technology environment including Workday, APIs, MS Fabric, Data Warehousing ...

IR35, £700 - £850 per day)Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. We are looking for a Full Stack Engineer to build the products that power our reinsurance broking, analytics and client-facing … work closely with product stakeholders and delivery partners, and to explain technical trade-offs clearly.**About Willis Re**We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused. ...

commercial teams, you will provide expertise on sales tools, processes, and technologies to maximise productivity and business performance. You will leverage data, reporting, and analytics to deliver actionable insights, improve visibility of sales activities, and support strategic decision-making. This role combines sales operations, CRM leadership, stakeholder engagement, and continuous … Minimum 6 years of experience in Salesforce administration, sales operations, CRM management, or a related field Strong understanding of Salesforce CRM functionality, reporting, and analytics Experience supporting sales organisations within a multi-country or regional environment Advanced analytical skills with the ability to translate data into business insights Experience creating ...

prioritize capabilities, ensure backlog quality, and define non‐functional requirements (resilience, controls, scalability). Align data strategy (sources, lineage, quality, governance) to enable analytics and model deployment. Operating Model, Governance, and Controls Run execution cadence (quarterly strategy reviews, monthly performance packs) and maintain decision/risk/issue registers. Coordinate … accountability for data quality, rules, and exception outcomes—issues surface because controls worked. Stay Curious: Continuously explore AI and analytics to enhance reconciliations; test, learn, and iterate. Thrive Together: Collaborate across stakeholders and share knowledge; build trust and momentum. AI Literacy: Apply agentic AI/ML where feasible; design ...

exciting time of Change and Transformation. Reporting to the Credit Risk Manager and working closely with the Director of Credit Risk and Data Analytics, this is a unique opportunity to become one of the key architects of our future decisioning and risk management framework. What You’ll Do. … improve lending decisions, enhance customer outcomes and support sustainable portfolio growth. Combining traditional data science techniques with practical commercial application, you’ll leverage modern analytics, machine learning and AI-assisted development tools to accelerate model development, improve decision making and deliver tangible business value. You’ll collaborate with stakeholders across ...

informed prioritization and tradeoff decisions based on customer impact, business value, risk, and investment return. Drive product decisions through customer insights, market analysis, product analytics, and business outcomes. Customer and Market Discovery Develop a deep understanding of accounting firm operations, workflows, challenges, and business objectives. Conduct customer interviews, discovery sessions … workflows with basic understanding of engagement management, workflow management, resource planning, time and expense tracking, billing, collections, utilization, realization, client collaboration, and operational analytics preferred. AI-Native Product Management Leverage agentic AI tools and workflows to accelerate research, analysis, requirements development, backlog refinement, user stories, roadmap planning, and product documentation. ...

continuous improvement activities Coordinate and participate in system testing, user acceptance testing (UAT) and release activities Develop and maintain HR reporting, dashboards and people analytics Ensure robust HR data governance, data quality and compliance standards are maintained Work closely with HR, IT and third-party suppliers to resolve issues … data visualisation tools Experience working with third-party system providers and vendors Key Skills HR Systems Administration HRIS Management HR Data Governance HR Reporting & Analytics Data Quality Management User Acceptance Testing (UAT) Continuous Improvement Stakeholder Management Process Optimisation Change Management System Support Problem Solving Working Pattern Hybrid working: 3 days ...

Solution Architect – 6-month Contract Willis Re is building its global technology estate from the ground up, centered on data, analytics, and modern cloud platforms. We are looking for a Solution Architect to shape and deliver the solutions that power our reinsurance broking, analytics, and client-facing platforms. Key Responsibilities ...

Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions … organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. Key Responsibilities Collaborate with sustainable finance domain experts ...

systems remain reliable and future‐ready. Job Responsibilities Design, develop, and implement AI and data engineering solutions, including data pipelines, machine learning models, analytics applications, and Agentic AI systems. Write secure, high‐quality code in Java, applying best practices for AI and data engineering. Develop and maintain scalable data architectures … debugging, and maintaining code in a large corporate environment. Ability to code in one or more languages and build data pipelines, machine learning models, analytics applications, or autonomous agents. Experience across the Software Development Life Cycle, including model training, deployment, and monitoring. Exposure to agile methodologies, CI/CD, application ...

safeguarded. Why be the Data Engineering Lead at THG? THG is building the data engineering capability that will underpin everything from daily trading analytics to AI-driven personalisation. As Engineering Lead, you will own the technical vision and delivery for how THG structures, stores and distributes its data across three … platform and first‐layer pipelines. Your job is to take what Ingenuity provides and shape it into the structured, high‐quality domain datasets that analytics and data science teams can confidently build on. You will also be a key partner to the Data Governance Lead, implementing the standards they define ...

generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code to incrementally improve it Collaborated with … areas: MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code Data Engineering: including platforms like Databricks for data processing and analytics Building a truly diverse, equitable, and inclusive workplace ...

PySpark , Python, FastAPI , FastMCP , SQL, OAuth2 AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies Data Analytics & Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps … other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply. #J-18808-Ljbffr ...

charities and causes that matter to you Awards to recognize key service milestones About the business As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information … vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare ...

skills, required to translate complex business challenges into clear recommendations for executive stakeholders Demonstrated proficiency in artificial intelligence concepts, with experience using AI-enabled analytics, automation, or workflow tools to identify process improvement opportunities, enhance operational efficiency, and support data-driven decision making Proven ability to evaluate and implement … within governance forums and leadership discussions, influencing strategic decisions and prioritisation Promote innovation and digitalisation by identifying opportunities to leverage technology, automation, and advanced analytics to improve business processes About the Team The Business Process Transformation team is responsible for transforming the quote to cash processes to efficiency and effectiveness ...

agent identities alike. You will also work closely with our data function, helping design and optimise the data pipelines, data stores and large‐scale analytics infrastructure (for example BigQuery and similar warehouses) that the business depends on. What you'll do Design, build and operate our multi‐cloud and hybrid … management—to keep the platform reliable and cost‐efficient. Partner with data engineering to design and optimise data pipelines, data stores and large‐scale analytics infrastructure such as BigQuery, including query, cost and performance tuning. Mentor engineers, set technical direction and champion strong platform and security engineering standards across ...

Automation, and Monitoring teams. Key Responsibilities Collect, normalize, and onboard network device telemetry and instrumentation data (metrics, logs, events, streams) into Splunk and approved analytics platforms. Work with Network Engineering teams to understand device behaviors, health indicators, and performance signals across routing, switching, wireless, and SD-WAN platforms. Design, build … timeliness; identify telemetry gaps and work with stakeholders to remediate them. Support onboarding of new network platforms or device types into the telemetry and analytics pipeline. Document telemetry sources, dashboards, alert logic, and operational usage guidelines for Production Operations. Provide support during major rollouts or network changes to validate telemetry ...

Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity … technical excellence. Job Responsibilities Collaborates with engineers, data scientists, and product owners, to deliver products to production. Builds and maintain data pipelines for analytics, model evaluation, and training (includes versioning, compliance and validation). Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine ...

Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions … organize the ever‐increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. As an ML Research Engineer on the AI Sustainable ...