26 to 35 of 35 Data Quality Jobs in Lanarkshire

moving 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 … know 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 ...

Performance, supporting major infrastructure and capital investment programmes.We combine best-in-class project controls with advanced analytics to enable clients to make timely, data-driven decisions that improve project outcomes, strengthen governance, and enhance performance across portfolios, programmes and projects.The Opportunity: As part of our continued growth … enabled project controls services across complex infrastructure programmes and PMOs.You will translate client challenges into practical, scalable solutions, working through multi-disciplinary teams of data engineers, analysts, and project controls professionals. While not hands-on in build, you will provide solution direction, assurance, and executive-level interpretation of insights.You ...

implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. AccountabilitiesAcquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds.Performing data cleaning and pre-processing tasks to ensure data quality and suitability for model development.Design and implementation of data management strategies for model maintenance and future development.Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.Monitoring model performance in real-time and identify ...

design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsLeverages enterprise-authorized AI coding assist tools within the work environment to improve code … quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.Applies knowledge of tools within the Software Development Life Cycle toolchain ...

design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problemsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment … improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.Applies knowledge of tools within ...

moving 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 Director will lead that transformation. You will set the technical vision, define the architecture, build and inspire the team, and personally raise … know 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. What This Role Is Not: This is not a role for someone who wants ...

ticket hygiene checks across epics, stories, tasks and required fields Managing document control, templates, versioning, folder structures and access through SharePoint Conducting periodic data-quality audits and supporting compliance with PMO standards Coordinating lessons-learned sessions and identifying opportunities to improve or automate PMO processes What … multiple work streams and competing deadlines. You will also bring: Strong organisational skills and excellent attention to detail The ability to identify inconsistencies and quality issues within project data Clear, professional written communication suitable for senior stakeholders A polite but persistent approach to obtaining updates and completed actions ...

validating programme inputs, maintaining version control, and producing essential planning reports and dashboards. Working closely with planners and wider teams, the Planning Administrator ensures data accuracy, supports governance and audit requirements, and assists with continuous improvement initiatives that enhance planning processes, procedures and reporting efficiency. The role also contributes … consistent communication across the planning function. Making Possible Planning Administrator responsibilities include: Ensure the system is set up correctly, runs efficiently, and provides reliable data for project teams Play a key part in supporting the smooth running of planning systems and enabling informed decision-making The role will ...

efficiency and scalability of the sanctions control environment, fostering a culture of continuous improvement and innovation.Support the evolution of screening methodologies, control design and data quality standards to improve risk coverage, reduce operational inefficiencies and strengthen sanctions detection capabilities.The successful candidate is likely to bring:Deep technical expertise ...

Cyber Asset Management Analyst to support the development and improvement of cyber asset management capabilities across a complex organisation. Key Responsibilities Improve the quality, accuracy and completeness of asset data. Consolidate asset information from multiple sources. Support cyber asset inventory standards and governance. Align asset data with cyber … regulatory requirements. Produce reporting on asset coverage, ownership and risk exposure. Key Skills Experience in Asset Management, CMDB, Asset Inventory or Cyber Governance. Strong data analysis and stakeholder management skills. Knowledge of asset lifecycle management and asset discovery processes. Understanding of cyber security, risk management and regulatory requirements. Experience ...