1,076 to 1,100 of 1,224 Data Quality Jobs in the UK

Job Description Digital Data Analyst – Up to £45,000 Burton Upon Trent – Hybrid (1-2 days per week in office) A growing analytics team is hiring a Digital Data Analyst to optimize web performance, track user behavior, and provide real-time insights across 80+ websites. This is a … hands-on role, working with SQL, GA4, Looker, Power BI, and Excel to assess data quality, debug tracking issues, and generate reports that drive key business decisions. The Company A well-established brand in the hospitality sector , operating over 2,600 pubs, restaurants, and hotels across the UK … app reporting, deep-dive analysis, and future planning CRM – Customer database management, campaign analysis, and reporting Loyalty & Customer Insights – Understanding and segmenting customer behavior Data Science & Engineering – Supporting analytics efforts and proving business value The Role As a Digital Data An... More ❯

applied machine learning, generative AI, and cloud-native tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration … through to deployment and monitoring. Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment. Cross-functional Collaboration Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/… peer programming, and technical reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Documentation & Continuous Improvement Contribute More ❯

applied machine learning, generative AI, and cloud-native tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration … through to deployment and monitoring. Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment. Cross-functional Collaboration Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/… peer programming, and technical reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Documentation & Continuous Improvement Contribute More ❯

applied machine learning, generative AI, and cloud-native tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration … through to deployment and monitoring. Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment. Cross-functional Collaboration Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/… peer programming, and technical reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Documentation & Continuous Improvement Contribute More ❯

Origami functionality and value proposition by attending client demonstrations, trainings with Sales leadership, and collaborating with colleagues in Professional Services. Maintains all CRM prospect data to ensure data quality on an ongoing basis, ensuring that all required fields and client demographics are correct and consistently reviewed to More ❯

Job Description Role: CRM Data Quality Coordinator Team: Client Data & Information Integrity (3 days/week) Work Setup: Hybrid arrangement available, with a minimum of one in-office day per week. This can be in either their NYC office or London office A major initiative is underway … environment. Overview This role focuses on ensuring the accuracy and consistency of contact and company records within the newly adopted system. Responsibilities include standardizing data entries, resolving inconsistencies, eliminating redundant entries, and responding to user queries related to the platform. Project-based tasks and adherence to information confidentiality are More ❯

business processes, and producing business intelligence. It plays a key role in supporting the council's statutory duties related to safeguarding, statutory processes, and data returns. This role involves working closely with team members in a busy environment, both in the office (at least 2 days a week) and … remotely, to provide effective support to end users of the system. Key Duties: Assisting in data collection and reconciliation from schools, including communication to improve data quality. Supporting end users of the Education MIS, including fault resolution and liaising with the supplier. Performing system administration and maintenance tasks … on Education MIS. Implementing new modules and testing system releases. Maintaining data quality by resolving issues and supporting users to improve data accuracy. Essential Requirements: Previous experience in a similar role with an understanding of Management Information Systems. ICT skills with the ability to learn new systems More ❯

models for use in our conversational AI platform. Your primary focus will be on post-training techniques such as preference-finetuning, reward modelling, synthetic data generation, etc. Responsibilities : Train models and conduct experiments to assess model performance in live deployments Develop post-training strategies to achieve state of the … art performance on domain-specific tasks Generate, collect, and annotate contact center data from sources such as real customer calls, chats, online open datasets, and synthetic data Develop robust evaluation benchmarks to track improvements in production models Collaborate with the legal and compliance team to address any compliance … or data privacy-related issues Work closely with product and engineering teams to ensure alignment with business and production goals Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies Requirements : A degree in Computer Science, Machine Learning, or a related More ❯

below. Duties involve: Provide 1st and 2nd line support for the Atlas application. Querying the Atlas database and producing required reports. Conduct and document data integrity checks on project datasets to ensure a high standard of data quality. Data validation checks prior to imports Data imports … responsibilities. Querying the database and generating project specific reports as requested by project team members. Initial troubleshooting of the database as issues arise. Conducting data integrity checks to ensure project data is to a high standard. Testing updates and developments implemented by the development team. Experience/skills … required Essential Working towards either a degree qualification in Software Development or a related field such as Computer Science or Data Analytics. Experience using T-SQL Querying/Creating/Updating Data Creation of stored procedures and views Experience of using Microsoft Excel Pivot tables Conditional formatting Use More ❯

telecom sector. This role is ideal for someone with a deep technical background who thrives on defining architecture standards, ensuring integration consistency, and safeguarding data quality across complex system landscapes. As a key bridge between architecture, development, DevOps, and business, you will lead with both vision and technical … with surrounding systems. Establish best practices for platform development, delivery, and deployment , working closely with CI/CD and DevOps teams. Design and evolve data models that meet both business and technical requirements. Define data validation rules , consistency checks, and integrity controls to maintain technical data quality. More ❯

is currently a gap. The proposal is that the Application Configuration team will fill that gap. It is also recognised that on past programmes, Data Governance activities have been introduced at a point where Data Quality issues have started to affect the transition to build stage of … the programme. Early implementation of a data governance capability is LFE we can harness and presents an opportunity to improve our overall programme performance. Application Configuration Team Role Responsible for deploying Submarines specifics parameters into the Toolset configuration to enable the proper use and expected data output from … as they become available as the Toolset evolves. Using the experience gained while deploying and maintaining the Submarines Parameters into the toolset to establish data governance solutions to review, report and ensure Data Quality. Your Role as Application Configuration Engineer NX and Teamcenter user experience and experience in More ❯

an end-to-end SaaS solution automating front and middle office investment management functions across asset classes on a single platform. The solution improves data quality and investment professional productivity, controls risk and lowers technology costs. Charles River serves more than 350 investment firms in over 40 countries … State Street in October 2018. Background: Core activities and needs are: Experienced Manager of support teams, ideally in the front office. Basing decisions on data and support process insight, incorporating feedback and client input. Good domain experience, ideally front office. Providing business/functional support for investment management or … side. Financial certification (CFA L1+, IMC, Claritas Investment Certificate, CISI Investment Operations Certificate, ). General understanding of financial services technologies including integration, development, and data management. Exposure to supporting SaaS delivery model. Business-level European language skills. Technical. Essential: Exposure to SaaS deployment models: native, CITRIX, and Azure in More ❯

options, structured trades, and the construction of volatility surfaces and forward curves. Challenge the robustness of model methodologies by critically analyzing underlying assumptions, input data quality, and performance outcomes to ensure they are aligned with business and regulatory expectations. Conduct regular reviews of model documentation, ensuring it is … exposures (PV01, CS01, DV01). Awareness of regulatory frameworks (Basel III, IFRS 9, CCAR, etc.) is an advantage. Skilled in Python and SQL for data analysis and model testing. Experience with trading systems (e.g., Endur, Aspect, RightAngle) and market data sources (e.g., Bloomberg, Totem) is helpful but not More ❯

options, structured trades, and the construction of volatility surfaces and forward curves. Challenge the robustness of model methodologies by critically analyzing underlying assumptions, input data quality, and performance outcomes to ensure they are aligned with business and regulatory expectations. Conduct regular reviews of model documentation, ensuring it is … exposures (PV01, CS01, DV01). Awareness of regulatory frameworks (Basel III, IFRS 9, CCAR, etc.) is an advantage. Skilled in Python and SQL for data analysis and model testing. Experience with trading systems (e.g., Endur, Aspect, RightAngle) and market data sources (e.g., Bloomberg, Totem) is helpful but not More ❯

What makes us Qlik? A Gartner Magic Quadrant Leader for 15 years in a row, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead … to better decisions, faster. We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. The Enterprise Account Executive Role, UKI As an Enterprise Account Executive at Qlik, you … revenue recognition and royalty structures. Experienced in working with partners and resellers to enable them to maximize revenue in your territory. Understanding of the Data Analytics, Integration, and AI marketplace. Have excellent communication and presentation skills. A self-starter and able to work independently within a matrixed organization. We More ❯

is currently a gap. The proposal is that the Application Configuration team will fill that gap. It is also recognised that on past programmes, Data Governance activities have been introduced at a point where Data Quality issues have started to affect the transition to the build stage … of the programme. Early implementation of a data governance capability is a lesson learned we can harness and presents an opportunity to improve our overall programme performance. Application Configuration Team Role Responsible for deploying Submarines-specific parameters into the Toolset configuration to enable the proper use and expected data … as they become available as the Toolset evolves. Using the experience gained while deploying and maintaining the Submarines Parameters into the toolset to establish data governance solutions to review, report, and ensure Data Quality. Your Role as Application Configuration Engineer NX and Teamcenter user experience and experience in More ❯

daily operational support and enablement to sales teams and partners. Measure and improve processes across the entire revenue operations spectrum. Drive engagement, enablement and data enrichment. Deliver metrics and reporting to monitor and improve revenue operations effectiveness, including new leads, pipeline, velocity, sales productivity, and renewals. Use data … agreement with Bitrise's Leadership Team through regular sales and business reviews. Oversee our GTM technology and processes, drive automation and process improvements. Drive data quality, through new hire training, process documentation, reporting and data cleansing. Own the commission plan and lead the process for setting sales … of partnerships, ideally within the SaaS and DevOps sector in a similar value-driven business. Track record of providing insight through robust technology platforms, data, analytics, compensation systems and processes to deliver excellent revenue operations motion. Deep understanding of working in a global, multicultural organisation including managing a remote More ❯

to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work … speech, audio, and video. BASIC QUALIFICATIONS Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals Our More ❯

week onsite/1-day per week remote Our Engineering Team Our engineers are at the core of our product, developing and refining the data platform that enables clients—ranging from global enterprises to rising startups—to navigate digital ecosystems effectively. The team is highly collaborative, committed to building … both excellent technology and a strong, inclusive team environment. Our mission is to transform complex data into clear, actionable strategies that help brands connect with diverse virtual audiences in meaningful ways. Your Focus As a Fullstack Engineer, you’ll work across the frontend and backend, contributing to responsive, scalable … backend development, full-stack fluency is essential. You’ll collaborate with product managers, designers, and senior engineers to understand project goals and deliver high-quality solutions. You’ll work with technologies like Node.js, JavaScript, TypeScript, and React, and play a key role in leveraging AI-powered development tools (such More ❯

week onsite/1-day per week remote Our Engineering Team Our engineers are at the core of our product, developing and refining the data platform that enables clients—ranging from global enterprises to rising startups—to navigate digital ecosystems effectively. The team is highly collaborative, committed to building … both excellent technology and a strong, inclusive team environment. Our mission is to transform complex data into clear, actionable strategies that help brands connect with diverse virtual audiences in meaningful ways. Your Focus As a Fullstack Engineer, you’ll work across the frontend and backend, contributing to responsive, scalable … backend development, full-stack fluency is essential. You’ll collaborate with product managers, designers, and senior engineers to understand project goals and deliver high-quality solutions. You’ll work with technologies like Node.js, JavaScript, TypeScript, and React, and play a key role in leveraging AI-powered development tools (such More ❯

to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work More ❯

to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work More ❯

access controls and security. Optimize and automate processes across marketing, SDR, and sales functions to support scalability and operational efficiency. Ensure seamless integration and data flow between Salesforce, HubSpot, and additional platforms such as LinkedIn or enrichment tools. Maintain high levels of data quality and system hygiene … including workflows and lead lifecycle logic. Strong analytical skills, with the ability to build advanced reports and dashboards, apply logic/formulas, and interpret data effectively. Solid understanding of revenue operations, marketing-sales alignment, and funnel metrics. Experience maintaining data accuracy across systems, managing imports, cleaning duplicate records … skills with the ability to collaborate cross-functionally and translate business needs into technical solutions. Familiarity with BI tools (e.g., Power BI, Looker) and data integration platforms (e.g., Workato, Boomi) is an advantage. Salesforce Administrator Certification is a strong advantage. More ❯

and effective issue resolution. Manage cross-team projects and enhancements, ensuring tasks are completed on time, stakeholders are involved, and communication is timely. Ensure data integrity across systems by implementing data quality controls and conducting regular audits. Main point of contact for Infrastructure, end-point, technology, and … project management, with PMP or similar certification preferred. Proficiency with major enterprise applications, such as Microsoft Dynamics, and other relevant platforms. Strong understanding of data management, reporting, and analytics tools. Familiarity with process improvement methodologies, such as Lean or Six Sigma, is advantageous. Should you have any questions or More ❯

and business projects in complex and regulated environments to strict timelines, budget and scope. Proven experience managing multi disciplinary teams from business, technical and data teams. You have excellent communication skills with the ability to translate technical concepts, activities and deliverables to non technical stakeholders Additionally it would be … beneficial if you have a strong understanding of machine learning concepts, data pipelines, model lifecycle and analytics, and are able to critically assess AI models, performance, data quality issues and implications. This is not required though. You are skilled at balancing and ensuring technical delivery with stakeholder More ❯