726 to 750 of 876 Data Visualisation Jobs in the UK

team Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences — from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium … search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. The Search & AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier’s global products. About the role ...

team Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences — from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium … search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. The Search & AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier’s global products. About the role ...

from a model where trained operators watch dashboards and escalate to experts, to one where the system is fully autonomous, self-healing, and data intelligent. This team is building that future, and this role sits at the center of it. The old model relies on operators, escalations, manual … what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. You will be one of the engineers who makes that real. What You Will Work ...

teams operate in an international environment, collaborating with customers from the US and Europe. Job Description We’re looking for an experienced Data Scientist who will also act as a Technical Lead. We need someone who not only masters Data Science techniques but can also lead … predictive, classification, LLM, recommendation systems, etc.), Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Identifying tools and specifying processes Mentoring junior team members and contributing to solution architecture, Preparing and presenting analytical ...

finance and finance-related modules are properly implemented, are working effectively and efficiently; staff are trained in the use of the system; the data has integrity; proper security is in place to prevent unauthorized access and processing; and testing of systems upgrades are performed. This position … support existing Finance and Accounting applications. Act as liaison between the Finance and Technology department and vendors/consultants. Learn related tables/data structure and all aspects of the financial and related systems. Design and perform ad hoc queries, financial and operational reporting, and analysis. Maintain working ...

maintaining the integrity layer of our label platform for Risk ML models. Defining, implementing, and monitoring statistical fundamentals and key quality metrics for data and labels. Designing automated audit processes to evaluate and monitor label quality over time. Working end-to-end on machine learning model training, evaluation … pipeline deployment. Collaborating closely with cross-functional partners across Risk Intelligence, Data Engineering, and Product. Qualifications What do you need?: Education: A degree in STEM (Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or a related quantitative field). Statistical Integrity: Strong mathematical and statistical fundamentals with ...

ideal candidate will have over 5 years of experience in operations, particularly in financial services or fintech startups, and be comfortable using data visualization tools. Lenkie offers a competitive salary, stock options, and a supportive work environment. #J-18808-Ljbffr ...

developing intuitive interfaces for varied user groups Experience with Entra ID, MSAL, Keycloak, React Router, Redux, Vite, Radix UI/shadcn, data visualisation, Docker or GitHub Actions would be beneficial. Exposure to AI-enabled products is also useful, but this is fundamentally a frontend software engineering position ...

finish, ideally in a B2B SaaS setting Proven experience leading Location Experience, geospatial, or location‐based products (e.g., maps, wayfinding, navigation, spatial data visualization) 4+ years of experience working with B2B clients Passion to run and lead, in a startup environment (startup experience is a plus) Technical acumen ...

most important work of your career. About the teamThe mission of the People Analytics team is to improve Stripe's performance by collecting data, measuring critical constructs, and generating insights that help Stripe attract, develop, and retain our most important asset: our Stripes. We are a team with … diverse backgrounds across consulting, HR, and data-focused disciplines who are curious, passionate, and committed to using science and data to deliver high-value, precise outputs to our users. What you'll doThis role sits at the intersection of analytics and business partnership in equal measure. ...

skilled React frontend engineer to join our product development team in Cambridge. You will build production-ready web applications with sophisticated data visualisation, collaborating closely with UX designers, product managers and fellow engineers. You’ll own frontend features end-to-end, write robust tests, and advocate ...

Learning@BCG, with the ambition to become the best talent developer in the world. Central to this transformation is advancing how we use data, analytics, and AI to measure impact, personalize learning, and drive strategic talent decisions, while ensuring the financial rigor that underpins every major … during a maternity leave for enterprise-wide Learning Analytics. This is a hands-on role. You will own the analytics agenda & manage the data workstream of our LMS transformation. You will report to the Global L&D Transformation Senior Director, who reports to the Chief Learning Officer. ...

find what blocks adoption, remove it, and measure the change in practice. The Senior Manager, CX Adoption Analytics & Insights Lead is the data-driven engine of the team. Without deep telemetry, the rest of the team is guessing. This role tracks exactly who is using our internal … never celebrating activity that doesn't hold up over time. This role helps build organizational capability by establishing common measurement practices, enabling data-driven decision making, and helping stakeholders understand the behavioral drivers of successful adoption. Analytics Leadership & Organizational Capability Establish standards, frameworks, and best practices for adoption ...

software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Who We Look For Goldman Sachs … Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. HOW YOU WILL FULFILL YOUR POTENTIAL We are looking for a skilled and motivated ...

iO Associates is seeking a Frontend Software Engineer for a hybrid London role, crafting complex, high-performance web applications to visualise and navigate data. You will own core frontend components, extend them for customer-specific ...

About the teamElsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences — from Scopus AI and LeapSpace to ClinicalKey … search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. The Search & AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier's global products. About the roleWe are looking ...

maintain the integrity layer of the label platform for Risk ML models Define, implement, and monitor statistical fundamentals and key quality metrics for data and labels Design automated audit processes to evaluate and monitor label quality over time Work end-to-end on machine learning model training, evaluation … pipeline deployment Collaborate closely with cross-functional partners across Risk Intelligence, Data Engineering, and Product Требования Hold a degree in STEM, such as Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or a related quantitative field Apply strong mathematical and statistical fundamentals to complex data environments ...

Marine Systems plc is seeking a Data Visualisation Designer to craft visually striking 2D/3D geospatial visuals for maritime surveillance and operational use. You will turn large maritime datasets into clear patterns, with a focus on intent-driven user journeys and high visual fidelity. The role ...

develops, tests, and maintains interactive R Shiny applications that support clinical trial activities, ensuring they are scalable and performant for large-scale clinical data analysis. Creates user-friendly applications for statistical review, data exploration, quality control, and reporting. Develops reusable Shiny modules and application frameworks … using R, SAS, and Python. Builds applications that support: SDTM and ADaM review; Dataset comparison;Metadata review;TLF review and quality control; Clinical data visualization, Statistical reporting. Develop applications in accordance with GxP, Computer Software Assurance (CSA), and company standards. Develops and executes application testing, including unit, integration ...

advice to these programmers on functional expertise and processes. Build and maintain effective working relationships with cross-functional teams including Biostatistics and Data Management counterparts, able to summarize and discuss status of deliverables and critical programming aspects, such as,timelines, scope, and resource planning. SP representative at project … drive standardization across studies or programs and effectively adopt R packages (e.g. Tidyverse), R Shiny Applications, AI-enabled tools etc. to support data visualization, version control (e.g. Git-based), and reproducible workflows. Partner with the functional mentors to support capability development, appropriate tool adoption, and alignment with standards ...

maintain responsive front-end features using React, delivering intuitive user experiences for risk analysts and business stakeholders Write and optimize SQL queries and data models to support reporting, analytics, and data-driven decision-making across credit risk platforms Leverage enterprise-authorized AI coding assist tools within … design artifacts for complex applications, ensuring design constraints are met throughout the software development process Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene, system architecture, and application reliability Collaborate with product, architecture, and business teams to gather requirements, synthesize findings ...

maintain responsive front-end features using React, delivering intuitive user experiences for risk analysts and business stakeholders Write and optimize SQL queries and data models to support reporting, analytics, and data-driven decision-making across credit risk platforms Leverage enterprise-authorized AI coding assist tools within … design artifacts for complex applications, ensuring design constraints are met throughout the software development process Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene, system architecture, and application reliability Collaborate with product, architecture, and business teams to gather requirements, synthesize findings ...

embrace change and thrive in it. Loyalty – We stand by each other and our mission. Job Summary Movar is seeking an Associate Director Data Analyst with extensive leadership experience in analytics and business intelligence. You will oversee analytical delivery across multiple client programmes, shape Movar's analytics strategy … analytics strategy aligned with Movar's business objectives and market opportunities. Build and maintain senior client relationships, acting as a trusted advisor on data-driven decision making. Drive business development through client engagement, proposal leadership, and capability demonstrations. Establish analytics standards, methodologies, and best practices across the organisation. ...

page/content International TV - Engagement Optimisation Manager London, England, United Kingdom Software and Services We are looking for a sharp, curious, and data-driven Engagement Optimisation Manager to join the International TV team. In this role, you will be the subject-matter expert in understanding how customers … across international markets engage with the Apple TV App and Apple TV titles. You will translate complex platform data into clear insights that drive measurable performance improvements.Working in close partnership with local platform teams, you will uncover opportunities, share best practices, and build compelling business cases for product ...

expert-led technology and consulting. Across both our technology and consulting services, Novatus delivers practical solutions to some of the most complex regulatory, data and operational challenges in financial services. Our expert-led advisory practice supports firms across financial services, ranging from global asset and wealth managers, capital … insurers and banks, ensuring they receive tailored solutions and services to meet their specific needs. Our consulting services offer expertise across Strategy & Operations, Data & AI, Risk & Resilience, Compliance and ESG. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving ...