126 to 150 of 162 Data Quality Jobs in the City of London

PRODUCT ANALYST SALARY UP TO £65,000 LONDON – HYBRID We’re looking for a Product Data Scientist to join a growing Insights team within a consumer-facing, digital product environment. In this role, you’ll sit at the intersection of data, product, and experimentation — partnering closely with Product … This is a hands-on, high-impact role suited to someone who enjoys owning a product area end to end, working autonomously, and using data to influence decision-making in fast-paced, evolving environments. THE ROLE AND RESPONSIBILITIES: Act as a go-to data scientist for a core ...

Dependent on Experience) About the Company Our client is an industry-leading Media business at the forefront of digital innovation, audience engagement, and data-driven decision making. With a strong commitment to leveraging cutting-edge technology, they are investing heavily in Salesforce and AI to enhance customer experiences … insight across our clients business. This is a hybrid role based in London, offering the opportunity to work closely with commercial, marketing, and data teams in a fast-paced media environment. You will act as the subject matter expert for Salesforce, leading on platform optimisation, AI-driven enhancements ...

Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Required Skills Hands-on experience with Microsoft Power Platform (Power Apps, Power Automate … Builder . Strong understanding of AI/ML concepts , data modelling , and model lifecycle management . Proficiency in JavaScript , Power Fx , and integration with APIs. Familiarity with Azure Cognitive Services and Dataverse . Good knowledge of SQL and data handling. Key Responsibilities Develop and implement AI models using ...

Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Required Skills Hands-on experience with Microsoft Power Platform (Power Apps, Power Automate … Builder . Strong understanding of AI/ML concepts , data modelling , and model lifecycle management . Proficiency in JavaScript , Power Fx , and integration with APIs. Familiarity with Azure Cognitive Services and Dataverse . Good knowledge of SQL and data handling. Key Responsibilities Develop and implement AI models using ...

Join a fast-growing MedTech organisation at the forefront of transforming post-surgical care through clinically validated remote monitoring technology. As the Data Science Lead, you will play a pivotal role driving algorithmic innovation, shaping the R&D strategy, and directly influencing the next generation of medical device technology … committed to improving patient outcomes through science-driven technology, strong cross-functional collaboration, and meaningful clinical partnerships. Key responsibilities Lead the organisation’s entire data science function and define the technical strategy for algorithm development. Design, develop, and optimise advanced physiological signal processing algorithms. Coordinate closely with software engineering ...

will join a small, highly capable team responsible for the full lifecycle of post-trade systems: trade capture, enrichment, lifecycle events, reconciliations, settlement workflows, data pipelines, and regulatory/operational reporting. The team operates with significant autonomy, close collaboration with business stakeholders, and ownership from design through to production. … covering trade capture, validation, enrichment, lifecycle processing and settlement flows. Develop reconciliation tools and exception-handling systems for multi-asset trading activity. Build robust data pipelines and operational datasets for risk, P&L, compliance and audit requirements. Integrate with brokers, custodians, clearing venues and internal trading/risk systems. ...

Days a Week On Site Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in building and operating robust ML pipelines and serving systems for classic ML and deep … role will be Via Umbrella. Working in a Hybrid Model of 2 days a week on site. Key Responsibilities Own the model life cycle: data - train - evaluate - package - deploy - monitor. Build reproducible pipelines, infra-as-code, and automated testing for data/ML. Implement model monitoring (latency, accuracy ...

Lead and unify the EMEA Duty Safeguard Team — oversee and coordinate the three core functions: Duty Safeguard (technical/system oversight), QDA (data & analytics), and GIOC Operations (AML execution), ensuring alignment, performance, and regulatory readiness across EMEA. Ensure technical & systemic compliance — serve as local technical expert for AML systems … collaborate with UK (data/QDA) and China (R&D/product) teams to embed local compliance into system design; monitor rule/model effectiveness; support audits, testing, and emergency response. Drive data governance and quantitative risk innovation — own data quality and governance for AML models ...

transport mechanisms. The ideal candidate will lead SAC implementation testing and enhancement projects, ensuring robust governance, scalable architecture, and seamless integration testing with enterprise data platforms such as SAP Datasphere or SAP BW. Key Responsibilities: • Lead end-to-end SAC implementation projects including requirement gathering, design understanding , Test scripts … perform testing • Collaborate with IT security teams to align SAC governance with enterprise policies. • Integrate SAC with SAP Datasphere, SAP BW, and other data sources using live and import connections. • Support data modelling activities including semantic layer design, calculated measures, and hierarchies. • Ensure data quality, lineage ...

compliance reporting. Provide BAU support, training and documentation for end users. Lead testing for changes, patches and upgrades using test/sandbox environments. Manage data quality, role-based access and security. Support integrations, data flows and reporting/analytics (including Power BI). Yardi Systems Owner – requirements … enjoys sitting at the intersection of Finance, IT and operations, this role offers the chance to own a business-critical platform for a high-quality UK student accommodation provider. Yardi Systems Owner – Yardi, Finance, Power BI (Contract) – London/Hybrid ...

Ownership: DealHub + Salesforce Serve as the business owner for DealHub and Salesforce quoting workflows. Partner with RevOps & BizAps to automate configurations, guardrails, and data flows. Build scalable CPQ logic, product catalog enhancements, and approval routing. 5. Cross-Functional Leadership Act as the quarterback between Sales, Finance, Legal … commercial reviews and act as a strategic advisor on complex deals. Provide training and enablement to Sales on quoting workflows and commercial policies. 6. Data Quality & Reporting Own data accuracy in deal records, pricing, SKUs, and commercial terms in Salesforce. Develop dashboards on deal cycle times, discount ...

workload. Tune existing detection rules, reduce false positives, and increase detection fidelity. Map detections to frameworks (e.g., MITRE ATT&CK) and identify visibility gaps. Data Onboarding & Logging Strategy Own the process for onboarding new data sources such as endpoint, cloud, and SaaS telemetry. Validate data quality … detection and threat hunting use cases. Maintain a coverage matrix to monitor completeness and highlight improvement areas. Perform rigorous testing of all logic and data sources before deployment. Automation & SOC Efficiency Oversee the development and deployment of automation workflows using SOAR or equivalent technologies. Identify opportunities to automate enrichment ...

Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation. Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse … improvements. Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Requirements PhD (or equivalent) in Computer ...

work through an umbrella company for the duration of the contract. You must be able to implement and support content-related configurations and data pipelines, ensuring structured metadata and reliable delivery. You will have experience of designing and maintaining schemas, mappings and validation rules for content. You will also … able to build/operate ETL/ELT jobs, ensuring data quality and lineage. You will collaborate with editors and product teams on release readiness and automate checks and monitoring. Experience of Data Engineering and SQL, Python and ETL tools. You must have knowledge of metadata management ...

world-leading global quantitative hedge fund are looking for a Data Engineer to support their systematic trading and research platform, with a focus on building, managing, and scaling datasets used directly by quants and traders. You will be responsible for developing automated ETL pipelines, integrating new and alternative datasets … implementing data quality checks, and contributing to the firm’s core data framework while working closely with research and trading teams. Stack: Python, Databases/Datalakes, Git The firm offers a highly collaborative, global environment with strong ownership, close interaction with quants and traders, and the opportunity ...

ownership of the core investment management platform and support broader system integration and reporting initiatives. This is a key role in optimising workflows, improving data quality, and enhancing reporting capabilities across the firm. Key Responsibilities Act as the in-house eFront expert, managing configuration, user access, and ongoing … maintenance. Support data accuracy, reporting, and dashboard creation for Finance, Deal, IST, and Compliance teams. Identify and implement process and system improvements across operations and finance. Coordinate with vendors and manage system integrations with internal and outsourced platforms. Contribute to strategic technology initiatives, including automation and BI enhancements. Skills ...

move faster than a typical tech organisation ever allows, this might be for you. What you’ll be doing ·Architect core infrastructure and data pipelines ·Build integrations with external APIs and providers ·Develop internal tooling and contribute directly to product roadmap decisions ·Work across backend, frontend, data … Tech you’ll work with ·Python + TypeScript/Node.js (in equal measure) ·API integrations, ETL, schema validation ·React/TypeScript, Supabase, AWS ·Data quality systems and pipeline tooling ·Whatever the mission requires — we optimise for impact, not rigidity What matters most · Ownership: You think like a founder. ...

earned pay Key Responsibilities Act as the product owner for our core digital platforms, shaping and delivering the Digital Product & Systems roadmap. Use data, insights, and member feedback to identify opportunities to enhance the digital experience. Own and manage the Salesforce product backlog, working with departments across the clubs … adoption. Collaborate with stakeholders to translate business needs into clear technical requirements and user stories. Manage third-party vendors to ensure timely, high-quality delivery and excellent platform performance. Support governance, documentation, system configuration, UAT, and release processes to ensure stable and compliant deployments. Drive system streamlining, reduce duplication ...

Compliance in technology projects, including requirements gathering, design workshops and vendor engagement Support UAT, system testing, release activity and post-implementation review Provide reporting, data analysis and insight from Intapp and related tools Ensure data quality across onboarding and compliance systems, including during migrations Produce and maintain ...

someone with proven expertise in multi-discipline risk management within a professional services environment, and who is confident working with BC/OR technology, data, and tooling. Key Responsibilities Lead business continuity and operational resilience planning and response across the firm, ensuring critical services, processes, and dependencies are identified … resilience platform (eg, Fusion) from requirements through rollout and adoption. Acting as product owner for the platform post-implementation - managing configuration, enhancements, user access, data quality, and roadmap. Partnering with IT and vendors on integrations (eg, CMDB, service management tools, risk registers, HR systems) and automation opportunities. Conduct ...

annual releases. Act as a consultative partner to HR and business stakeholders, translating requirements into practical system solutions. Support BAU operations, including issue resolution, data quality, security administration, reporting, and integrations. Participate in testing cycles, defect tracking, and release management activities. Produce and maintain system documentation, user guides … configuration artefacts. Collaborate closely with HR, IT, and governance teams to ensure adherence to change control and data standards. Required Skills & Experience 5+ years’ experience in Workday , with strong hands-on configuration experience across multiple modules. Proven background in Workday Recruiting, Talent, and Performance Management . Solid technical understanding ...

AIOps, monitoring), CI/CD, test automation, and reusable accelerators. · Lead CAR adoption (real-time sales, inventory visibility, POS integration), API-first integrations, and data quality improvements. · Guide solutioning across SAP AFS, Retail Pricing/Promotions, FICO (GL, AP/AR, Asset Accounting, COPA), and cross-module touchpoints. … Customer Activity Repository): Real-time transactions, POS, forecasting, inventory visibility. · ABAP: Ability to guide technical teams, review designs/estimates, ensure performance and code quality (no hands-on coding required). · Enterprise Apps & Integrations: POS/OMS/eCommerce/WMS, API/Middleware (SAP PO/ ...

Fully Remote Remote | B2B SaaS scale-up I’m working with a high-growth B2B SaaS company that builds an enterprise-grade, API-first data platform used by global organisations to improve data quality, compliance, and visibility across their systems. The business is scaling quickly and engineering … Symfony) Contribute to front-end development with Angular Collaborate closely with product managers, designers, and engineers Take part in code reviews, testing, and quality assurance Influence technical direction and platform architecture Mentor and support other engineers What They’re Looking For Strong experience commercial experience with PHP Strong experience ...

PureSpectrum is a rapidly growing market research and insights platform that simplifies technology, allowing researchers to gather and activate consumer data without disruption. As the go-to solution for high-quality multi-sourcing and fully automated research, PureSpectrum is helping to shape the future of insights. Our Marketplace … facilitates over 65 million online interviews annually, and our proprietary respondent-level scoring system—PureScore—continues to set the industry standard for data quality and reliability. Recognized globally for both innovation and culture, PureSpectrum has been named one of Newsweek’s Global Most Loved Workplaces (2023–2025), included ...

Code/Workflow platforms, and Conversational AI Ensure governance and ethics are embedded in all AI solutions, addressing topics such as data quality, bias, model interpretability, and responsible AI deployment Monitor adoption and success metrics, using feedback and performance data to iterate and continuously improve delivered solutions ...