501 to 525 of 593 Data Quality Jobs in London

Our client is a global luxury retailer, looking for a Customer Data Platform (CDP) Manager to lead the development and optimization of their CDP implementation. The successful candidate will oversee the development and management of the CDP, bridging the gap between business stakeholders, technology teams, and vendors. This role … will focus on ensuring data quality, compliance, and seamless integration, driving enhanced customer experiences across multiple regions. Responsibilities: Oversee the development, management, and optimization of the Customer Data Platform (CDP) Collaborate with business stakeholders, technology teams, and vendors to ensure seamless data integration and optimization Provide … to drive revenue performance and customer experience improvements Requirements: Experience in leading large-scale projects, involving CDP implementation Expertise in MarTech ecosystems and customer data management platforms At least 5 years' experience in data-driven CRM teams, digital marketing, or CRM analytics Proficiency in analytics tools, SQL, and More ❯

a European level. In this role, you will serve as the lead Account Manager for our top-priority vendor, directly responsible for delivering high-quality account management that exceeds their expectations. Delivering results through others by influencing and managing the priorities of multiple stakeholders will be a vital part … our service. Key job responsibilities Have impact not only at vendor-level but deliver cross-divisional vendor-projects across Marketing & Promotions, Selection & IDQ (Item Data Quality) and Availability & Operational Excellence. Where possible, scaling best practices to total Total Consumer Electronics. Develop and nurture strategic, long-term vendor relationships … using analytical, sales, and productivity tools including Salesforce, Google Analytics, SQL, HTML or website content management systems. Analytical problem-solving ability, with experience in data analysis, reporting, and forecasting to guide business decisions. A Master's degree (preferably in business management)/MBA from a leading business school is More ❯

with 1/2 days in the London office per month. Responsibilities: Contribute to the planning and execution of risk model updates, continuously improving data quality and processes. Collaborate with teams and stakeholders to understand their requirements, data needs, and desired modeling outcomes. Engage with data from sourcing through to modeling and implementation in rating. Analyse data, interpret outputs, and effectively communicate insights to non-technical audiences. Requirements: Strong knowledge of statistical modeling techniques, especially Generalized Linear Models (GLMs) Familiarity with machine learning methods, particularly Gradient Boosting Models (GBMs) Demonstrated experience working with large More ❯

with 1/2 days in the London office per month. Responsibilities: Contribute to the planning and execution of risk model updates, continuously improving data quality and processes. Collaborate with teams and stakeholders to understand their requirements, data needs, and desired modeling outcomes. Engage with data from sourcing through to modeling and implementation in rating. Analyse data, interpret outputs, and effectively communicate insights to non-technical audiences. Requirements: Strong knowledge of statistical modeling techniques, especially Generalized Linear Models (GLMs) Familiarity with machine learning methods, particularly Gradient Boosting Models (GBMs) Demonstrated experience working with large More ❯

processes that ensure the technological lifecycle is managed within the organization. Produce strategic technical models and prepare business cases aligned with IT security and quality guidelines. Present business cases for strategic technical initiatives. Support the implementation of security architectures to minimize IT security breaches, in alignment with the IT … security strategy. Plan effective, future-oriented data storage, sharing, and publishing within the organization, in alignment with the solution and enterprise architecture. Compile technology/software development policies and set standards. Manage application assets and direct development efforts to improve solution delivery and agility. Collaborate with EA peers to … like Appian, Azure APIM, and Adobe Experience Manager. A proven track record of successful implementations delivering measurable business outcomes. Ability to evaluate and design data collection, staging, movement, analytics delivery, and data quality processes. If you are excited about this role but your experience does not align More ❯

in-force portfolio performance, and ultimately strengthen Swiss Re's underwriting performance. About the Role Identify use case, define business requirements and work with data & tech team to develop new portfolio monitoring capabilities. Strive for continuous enhancement in coverage, reliability and capability in portfolio monitoring tools. Drive change management … portfolio monitoring tools, engaging and instilling excitement across target user groups in all markets globally. Define and/or build strategic linkages between distinctive data domains in order to generate new insights. Enhance L&H data quality via identifying gaps in upstream operational processes, and feedback to … learning new tools/techniques. Storytelling and ability to influence technical and non-technical stakeholders. Critical thinking and problem-solving skills. Analytical skills including data transformation, cleaning, visualisation and insights generation. Expert knowledge of data flow and system landscape in Valuation, Operations and/or Finance. About Swiss More ❯

the development of numerous products and initiatives that allow our customers to personalise messages across all digital touchpoints. This includes working with multi-modal data such as images, text, and more, leveraging cutting-edge technologies including Large Language Models (LLMs). This is an exciting opportunity at the forefront … OptiX and Optimove. Manage the cloud-hosted modelling environment. Operationalize models as APIs working in real-time and batch environments. Monitor production models, ensuring data quality and model performance. Develop predictive machine learning models for classification, ranking, and personalization purposes, utilizing multi-modal data including images and … Best Bits of the Job Exposure to a phenomenal array of machine learning domains, including massive-scale search, ranking, NLP, hybridization, classification, multi-modal data processing (images, text, etc.), and far beyond. Leveraging state-of-the-art technologies, including Large Language Models (LLMs), to enhance our products and services. More ❯

partner with a rapidly growing medical technology company behind an award-winning medical device and transformative telehealth platform. We're now looking for a Data Analyst to join their team and play a key role in delivering data-driven insights to support smarter decisions and better patient outcomes. … reports to support teams across the organisation. Cleanse, model, and transform large-scale datasets for meaningful analysis. Translate complex business requirements into clear, actionable data insights. Automate processes to improve efficiency and reduce manual tasks. Collaborate with tech teams to address data quality and improve architecture. We … re looking for a Data Analyst with: Strong SQL skills and hands-on experience with BigQuery and Looker Studio. Advanced Excel skills including SUMIFS, COUNTIFS, INDEX-MATCH, arrays, and PivotTables. A good understanding of GCP architecture and cloud computing services. Proven experience handling large, complex datasets and delivering clear More ❯

partner with a rapidly growing medical technology company behind an award-winning medical device and transformative telehealth platform. We're now looking for a Data Analyst to join their team and play a key role in delivering data-driven insights to support smarter decisions and better patient outcomes. … reports to support teams across the organisation. Cleanse, model, and transform large-scale datasets for meaningful analysis. Translate complex business requirements into clear, actionable data insights. Automate processes to improve efficiency and reduce manual tasks. Collaborate with tech teams to address data quality and improve architecture. We … re looking for a Data Analyst with: Strong SQL skills and hands-on experience with BigQuery and Looker Studio. Advanced Excel skills including SUMIFS, COUNTIFS, INDEX-MATCH, arrays, and PivotTables. A good understanding of GCP architecture and cloud computing services. Proven experience handling large, complex datasets and delivering clear More ❯

our journey. As a Digital Analytics Implementation Engineer, you will be responsible for executing and maintaining analytics tracking solutions to ensure accurate and reliable data collection across digital platforms. Working closely with product, engineering, and data teams, you will implement measurement frameworks, troubleshoot tracking issues, and contribute to … tracking solutions. You will be expected to take ownership of key implementation tasks while collaborating with senior team members to refine processes and enhance data quality. Everyone is welcome. We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. … great things you'll be doing: • Implement event-based tracking solutions across web and mobile platforms using analytics frameworks and tag management systems. • Ensure data quality by conducting QA, debugging, and troubleshooting tracking issues in collaboration with engineers. • Maintain and optimize analytics tagging configurations to support evolving business More ❯

PMO Benefits Change Risk Management Lead, a pivotal role in ensuring the Redevelopment Programme is executed on time, within budget, and to the required quality standards. Key responsibilities include managing project risks, issues, dependencies, and benefits, maintaining high-quality documentation, and ensuring clear communication flows. The role requires … mitigating risks, managing change, and ensuring project benefits align with organisational goals. You must possess strong analytical, organisational, and communication skills to handle complex data, run risk assessments, and coordinate with diverse stakeholders. Knowledge of project management principles, risk frameworks, and change management strategies is essential. This role is … duties of the job This role ensures the smooth delivery and reporting of the Redevelopment Programme by managing projects to meet time, cost, and quality objectives. Key responsibilities include identifying and managing risks, issues, dependencies, assumptions, changes, and benefits while maintaining high-quality, accurate documentation and governance. The More ❯

Rate : 51,000 - 55,000 Per Annum Start Date : 26/05/2025 Job Type : Permanent Job Responsibilities/Objectives Design and manage data warehouses using SQL, NoSQL, and cloud platforms. Develop ETL/ELT pipelines using Airflow and dbt. Collaborate with stakeholders to deliver impactful solutions. Ensure … data quality, security, and governance. Required Skills/Experience The ideal candidate will have the following: Experience in analytics or model/data engineering. Advanced Python skills (Numpy/Pandas). Strong SQL and relational database design expertise. Excellent communication skills. Benefits & Perks £6,000 per annum More ❯

of the diverse NBO models. Guide the further development of ML models within NBO, potentially incorporating advanced techniques like GNNs, autoencoders, or transformers. Oversee data validation processes and ensure data quality for NBO inputs. Manage the NBO model evaluation framework (NBO Eval) and report on performance metrics … final handover process to the new internal team towards the end of the engagement. Required Skills & Experience: 10+ years of hands-on experience in Data Science and Machine Learning, applying models in a business context, particularly for personalization or recommendation. Proven experience leading the development, deployment, and lifecycle management More ❯

of the diverse NBO models. Guide the further development of ML models within NBO, potentially incorporating advanced techniques like GNNs, autoencoders, or transformers. Oversee data validation processes and ensure data quality for NBO inputs. Manage the NBO model evaluation framework (NBO Eval) and report on performance metrics … final handover process to the new internal team towards the end of the engagement. Required Skills & Experience: 10+ years of hands-on experience in Data Science and Machine Learning, applying models in a business context, particularly for personalization or recommendation. Proven experience leading the development, deployment, and lifecycle management More ❯

the trade-offs of different approaches Strong Programming skills, ideally in Python Knowledge of SQL and relational databases Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively An excellent candidate will also: Understand and apply expected value and utility principles, both in More ❯

the trade-offs of different approaches Strong Programming skills, ideally in Python Knowledge of SQL and relational databases Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively An excellent candidate will also: Understand and apply expected value and utility principles, both in More ❯

ensure adoption and successful change management Serve as the point of contact for business questions Develop reports and dashboards to continuously provide oversight on data quality and integrity Manage system and data integrity by establishing end-user best practices Technical skills: 6+ years of experience as a … Cloud Salesforce Administrator certification required Salesforce Business Analyst or Sales/Service Cloud Consultant certifications desirable Proficiency with (url removed) Migration Tool - Understanding of data migration from CSV, SQL or other systems to the Salesforce platform, using tools such as the Salesforce Data Loader Company Benefits Enhanced Parental 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 ❯

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 ❯

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 ❯

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 ❯