2,726 to 2,750 of 7,673 Analytics Jobs in the UK

decisions made within their portfolios from an Investment Risk perspective.Monitor and assess Portfolio Risks (e.g. Factor Risk correlation, Stress Testing) using risk models and analytics tools. Bring up/take further action as required to ensure resolution. Monitor adherence to processes, mandates and client expectations as advised for portfolios. Ensure … variety of business partners, Senior Management and clients (note specifically without providing recommendations to clients).Partner with members of the Risk Measurement (analytics-focused) team to continue to strengthen data quality, explore further analytics capabilities and deliver tools.Contribute to the continued improvement of risk management frameworks, policies and internal risk ...

successfully adopted and operationalized.Maintain stakeholder momentum and manage expectations gracefully during long delivery cycles, keeping partners excited and bought into the long-term analytics vision.Advocate passionately for the analytics function, leveraging high demand for insights to build compelling cases for expanded support.Lead, mentor, and protect a lean team of technical … leadership.Ability to manage a high volume of incoming requests, establish clear operational triage frameworks, and comfortably manage stakeholder expectations.A solid understanding of how product analytics and reporting structures operate (e.g., data flows, modeling, or visualization tools) to effectively translate technical needs, though hands-on coding/modeling is not required.Deep ...

growing client demand for advanced AI and data science solutions. The ideal candidate will have a deep understanding of artificial intelligence, machine learning and analytics, combined with IT consulting experience and domain expertise in financial services. In this role, you will partner with clients to solve complex business challenges … focusing on risk, compliance, and operational efficiency Design and deploy AI-enabled solutions for use cases such as credit scoring, fraud detection, and customer analytics Implement AI governance frameworks including compliance with Basel III, GDPR, and ethical AI practices Lead deployment of MLOps pipelines to transition models from development ...

impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation and evidence-based decision-making across the organisation. This is an opportunity to influence strategic decisions impacting … across one of the world's leading entertainment companies. What You'll Be Doing Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making across PlayStation. Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational ...

Team At Elsevier, we help researchers, healthcare professionals, and institutions make breakthrough discoveries and improve outcomes around the world. Through trusted scientific content, advanced analytics, and innovative technology, we empower our customers to solve complex challenges and accelerate progress. Within Elsevier's Life Sciences Solutions business, the Corporate Research Solutions … volunteer Access to extensive learning and development resources Access to employee discounts via Perks at Work About Us 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 ...

data driven organisation investing heavily in Azure, Microsoft Fabric, Power BI and AI. The role sits between senior stakeholders and a growing analytics team and suits someone with a strong BI, Product and Business Analysis background.Key Requirements: 5+ years professional experience within Business intelligence Professional experience as a BI/ ...

ability to translate complex commercial questions into dashboard logic and actionable recommendations. What You Will Be Doing Marketing & Sales Performance Analytics Design, build and maintain a marketing and sales performance dashboard in Looker Studio, underpinned by BigQuery, combining sell‐out sales data, market volume and share data, and campaign activity … halo effects. Work with GFK or other syndicated market data sources to enrich performance analysis with market volume and share context. Customer Experience & Digital Analytics Conduct analysis of the current customer experience, including user behaviour, content and campaign performance and conversion pathways. Benchmark key customer journeys against competitor websites ...

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. We are looking for Senior GenAI Platform Engineers with ...

About Clearwater AnalyticsClearwater Analytics is a global industry-leading SaaS solution provider for automated investment data management, analytics, and reporting. Each day, the Clearwater solution reports on more than $7.3 trillion in assets for clients that include leading insurers, asset managers, corporations, pension plans, governments, and nonprofit organizations – helping them … this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation ...

About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands‐on experts who love solving problems … variety of clients, each with a unique challenge. At Oakland, the work we do is in Data Platforms, Data Management, Data Strategy, AI, and Analytics & Insight so an understanding of these data concepts and the associated architecture is very helpful. You will use technologies across the major cloud stacks (e.g. ...

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.We are looking for Senior ML Platform Engineers with strong ...

Understanding customer challenges and translating them into technical solutions. Supporting RFPs and solution design. Advising customers on integrations, architecture and implementation approaches. Explaining AI, analytics and data platform concepts to both technical and non‐technical audiences. Working closely with Product, Engineering and Delivery teams throughout the sales cycle. Feeding customer … . AI, Machine Learning or modern data platform knowledge. APIs and systems integration. A consultative mindset. Working knowledge of Python, SQL or modern analytics platforms would be beneficial, but you don’t need to be a software engineer. What Success Looks Like You’ll be someone who enjoys translating technical ...

solving and transformation initiatives. Create and maintain service maps, service blueprints, journey maps and other design artefacts that support decision-making. Use research, data, analytics and operational insight to identify problems, opportunities and improvement initiatives. Design, develop and test prototypes, ensuring ideas are validated before wider implementation. Balance user needs … managing differing viewpoints and reaching effective outcomes. Ability to plan and lead discovery activities, experimentation and iterative design approaches. Experience applying user research, feedback, analytics and operational insight to inform decision-making. Strong stakeholder management skills, with the ability to translate and balance technical, operational and business requirements. Ability ...

capabilities to the customer's specific data challenges and business objectivesDesign and execute proof of concept engagements covering financial services use cases including risk analytics, regulatory data platforms, fraud detection, customer intelligence, and AI/ML workloadsDevelop working knowledge of the customer's existing data architecture, cloud environment, and technology … consulting in enterprise B2B technology, with exposure to financial services organisationsSolid understanding of financial services data use cases including risk management, regulatory reporting, fraud analytics, or customer data platformsHands-on experience with cloud data platforms and the ability to build and deliver compelling live demonstrations of complex data solutionsProficiency ...

across the Talent Development portfolio. Identify opportunities to streamline processes and enhance the employee experience through better use of systems and automation. Programme Measurement, Analytics & Continuous Improvement Develop reporting frameworks that measure programme effectiveness, adoption, engagement and business impact. Move beyond activity metrics to evaluate what is working, where improvements … Talent Development team operates, including reducing administrative effort, improving reporting and enhancing programme effectiveness. Explore opportunities to use AI-enabled tools for analytics, insights and process improvement. Bring practical experience of where AI can create value, supported by examples of successful implementation and measurable impact. Help shape responsible and effective ...

across the Talent Development portfolio. Identify opportunities to streamline processes and enhance the employee experience through better use of systems and automation. Programme Measurement, Analytics & Continuous Improvement Develop reporting frameworks that measure programme effectiveness, adoption, engagement and business impact. Move beyond activity metrics to evaluate what is working, where improvements … Talent Development team operates, including reducing administrative effort, improving reporting and enhancing programme effectiveness. Explore opportunities to use AI‐enabled tools for analytics, insights and process improvement. Bring practical experience of where AI can create value, supported by examples of successful implementation and measurable impact. Help shape responsible and effective ...

synthesize multiple partner inputs into a coherent, prioritized roadmap. Drive product requirements, define technical specifications, and measure performance of Simple Messaging features. Partner with analytics to measure impact, attribution, and inform ongoing investment decisions. Business and Operations: Advocate for innovative Simple Messaging capabilities that serve business goals and customer delight. … functional collaboration. Apply customer centric and agile methods to continually test, learn, and launch new features and enhancements. Collaboration: Partner closely with engineering, design, analytics to innovate and execute the product roadmap. Drive collaboration with high-performing matrix teams to build scalable solutions and deliver impactful results within Apple ...

especially around AI/ML model integration, data processing, and analytics. Translate complex technical solutions into clear, strategic product decisions. Use behavioural data and analytics as a key input to decisions and prioritisation, alongside domain expertise and conviction. Research, validation and data Establish usage analytics and behavioural data to track … decisions, judging when user research should lead (usability and workflow fit) and when expertise-led conviction should (what to build), and using data and analytics as inputs rather than the whole answer. Comfortable working hand in hand with engineering and ML teams, with a good understanding of how complex ...

About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands-on experts who love solving problems … variety of clients, each with a unique challenge. At Oakland, the work we do is in Data Platforms, Data Management, Data Strategy, AI, and Analytics & Insight so an understanding of these data concepts and the associated architecture is very helpful. You will use technologies across the major cloud stacks (e.g. ...

quality, experimentation frameworks, and AI evaluation capabilities across Elsevier's next-generation AI platforms and products. We combine expertise in information retrieval, machine learning, analytics, experimentation, and generative AI to improve how users discover, synthesize, and interact with scientific knowledge. Our work spans semantic search, retrieval-augmented generation (RAG), ranking … budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - 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 ...

retrieval quality, experimentation frameworks, and AI evaluation capabilities across Elsevier’s next-generation AI platforms and products.We combine expertise in information retrieval, machine learning, analytics, experimentation, and generative AI to improve how users discover, synthesize, and interact with scientific knowledge.Our work spans semantic search, retrieval-augmented generation (RAG), ranking systems … budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business –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 ...

integration, data processing, and analytics. Translate complex technical solutions into clear product decisions and communicate the trade-offs to stakeholders. Use behavioural data and analytics as a key input to decisions and prioritisation, alongside domain expertise and conviction. Research, validation and data Use usage analytics and behavioural data to track … decisions, judging when user research should lead (usability and workflow fit) and when expertise-led conviction should (what to build), and using data and analytics as inputs rather than the whole answer. Comfortable working hand in hand with engineering and ML teams, with a good understanding of how complex ...

e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.)Solution engineering/solution architect experience in a Saas environment or relevant industry experience (analytics, data science, data engineering etc)Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demosUnderstanding … experience with data architecture, data analytics and cloud technologyHands on experience with SQLAbility to solve customer specific business problems and apply Snowflake’s solutionsCustomer-facing skills to effectively communicate our vision to a wide variety of technical and executive audiences both written and verbalPreferred (but not required) to have:· Experience ...

business leaders.Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).Demonstrated experience leading specialist … cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.Exposure to AI-native and agent-driven applications that depend on low-latency ...

product teams, partner with Product, Engineering, Ops and Compliance to improve control effectiveness, customer experience, and operational efficiency.What you’ll doWork on the fincrime analytics ‘3 body problems’ of risk, friction and costNearly every risk based decision needs to balance the inherent risks of onboarding criminals against user friction … plans; communicate insights, trade‐offs and recommendations.Shape the ‘what next’ for product outcomes This is a Lead Analyst role. For more information on our Analytics Career Map and levelling structure, click hereQualificationsAbout youAble to design scalable data models from the backend to our data infrastructureStrong SQL with experience building robust ...