201 to 225 of 4,265 Validation Jobs in the UK

skills, providing clear updates to stakeholders across levels. Strong collaboration skills across lines of business, with demonstrated use of enterprise-authorized AI and disciplined validation/data-sensitivity practices. Preferred qualifications, capabilities, and skills Experienced in using Business Driven Development/Test Driven Development test methodology or test case automation. ...

integrate AI models into applications. Data Handling: Collect, pre-process, and analyse large datasets to train and evaluate AI models. Implement data augmentation and validation techniques to improve model accuracy. Solution Design: Collaborate with cross-functional teams to define requirements and design AI solutions that meet business needs. Conduct feasibility ...

sign-offs Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns Apply knowledge of the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to maximize ...

modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions. Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda ...

metrics in collaboration with operational and data teams. Provide data-driven recommendations that influence operational strategy and business performance. Ensure reporting accuracy through robust validation, governance, and continuous improvement of data quality. Systems & Reporting Development Define operational data requirements and work closely with IT and Data Services teams to support ...

across all HR systems. Establish and maintain robust data governance standards, policies and controls. Monitor data accuracy, completeness and consistency through regular audits and validation activities. Ensure compliance with GDPR, data privacy requirements and company information security standards. Develop processes for data retention, archiving, access management and audit readiness. Produce ...

help build. Key Responsibilities Design, write, and execute unit and integration tests using frameworks such as pytest , unittest , Playwright . Support test data preparation , validation scripts, and backend service testing. Assist in automating CI/CD pipelines on Azure , improving build and deployment reliability. Collaborate with Software ...

releases, assessing reporting impacts and recommending improvements. Advise clients on reporting strategy, governance, report rationalisation, automation, and self-service reporting capabilities. Support data extraction, validation, reporting security, tenant migrations, and reporting-related configuration activities. Mentor consultants and analysts, providing coaching, quality reviews, and functional leadership. Contribute to internal assets, accelerators ...

capture business and product requirements Strong analytical and writing skills, to include solid experience in writing functional and technical specifications/user stories Validation and testing in collaboration with Dev/QA/Operations Understanding of Data Vendor/Data Source Hierarchy for Golden Copy Experience/understanding of business ...

Insight Analyst with extensive experience in data analysis and business intelligence. Proven experience supporting or leading data migration projects, including ETL processes, data transformation, validation and migration to new business systems. Strong experience designing analytical models, KPI frameworks and reporting solutions. Essential experience in data insight modelling, predictive analytics ...

flows and reporting processes, improving efficiency and repeatability. Drive improvements in data quality, reliability and performance across the data estate. Implement data quality controls, validation processes and cleansing routines to maintain data accuracy, consistency and integrity. Ensure data solutions comply with information security, governance and data protection requirements, including GDPR. ...

based solutions to enhance security processes, operational efficiency, and service delivery. Manage the lifecycle of identified threats and controls, ensuring timely remediation, tracking, and validation of security measures. Deliver high-quality threat models and security assessments within agreed timelines, maintaining accuracy and attention to detail. Contribute to the continuous improvement ...

technical oversight. Mentor engineers and architects. Engage senior stakeholders and manage delivery risks. Support solution design, estimation and proposals. Quality & DevOps Implement testing, validation and data quality frameworks. Drive adoption of CI/CD, DevOps and DataOps practices. Ensure compliance with security and governance standards. Required Skills & Experience Technical Skills ...

GitHub Enterprise, Terraform, Jira, Confluence) Own and manage the backlog refinement process, ensuring priorities align with business value and technical feasibility Support UAT and validation activities, ensuring delivered solutions meet functional and non-functional requirements Identify opportunities to automate, optimise, and drive continuous improvement across systems and processes. Ensure adherence ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools ...

data accuracy and business value. Technical Knowledge & Tools : Power BI or similar reporting and visualisation tools. Data warehouses, structured data models and data quality validation; Snowflake experience would be beneficial. Excel for analysis, modelling or data validation. Awareness of data governance, access controls and responsible data handling. Exposure to Python ...

remote working. Workforce Reporting & Analytics Support the production of regular and ad hoc workforce reports, dashboards and management information. Assist with the extraction, cleansing, validation and maintenance of workforce data from multiple systems. Support the development and maintenance of workforce reporting trackers, databases and datasets. Assist in analysing workforce data ...

data entering datasets and polluting downstream data models. Database Development/Management: Supporting development and operation of databases that can be used for invoice validation/cost reconciliation/supplier portfolio management. Design, develop, and maintain robust and scalable data pipelines using Azure Data Factory, Azure Databricks, and other relevant ...

skills, providing clear updates to stakeholders across levels. Strong collaboration skills across lines of business, with demonstrated use of enterprise-authorized AI and disciplined validation/data-sensitivity practices. Preferred qualifications, capabilities, and skills Experienced in using Business Driven Development/Test Driven Development test methodology or test case automation. ...

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 the Software Development Life ...

data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third-party systems Defining data quality, validation, and monitoring standards Governance, Security & Quality Defining and enforcing: Data governance frameworks Master and reference data strategies Access control and role-based security Ensuring compliance ...

Engineering to create and enact impactful initiatives and strategies in the data domain. Ensure the quality, accuracy, and completeness of data by implementing data validation, integrity, and monitoring processes. Optimize and tune the performance of the data ecosystem, including databases, data warehouses, data lakes and data streams in an event ...

Practical experience using transformation tools (e.g. Dataform) and version control workflows (Git, Jenkins) to deploy maintainable code. Data Quality & Testing: Experience writing automated data validation scripts and test suites to verify accuracy and structural integrity. Metadata & Documentation: Ability to design and manage metadata, data dictionaries, and data cataloging assets. Stakeholder ...

scalable. Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality and delivery outcomes, while setting measurable validation standards (secure coding, peer review, automated testing) and encouraging reuse of proven patterns within the SDLC/TLM toolchain. Acts as a function-wide subject matter ...

sensitivity analysis and scenario planning. Monitoring and evaluation of the performance of existing models. Development and implementation of data quality control procedures. Building and validation of quantitative models to support decision‐making across different business areas. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations ...