51 to 75 of 4,265 Validation Jobs in the UK

Skills Advanced Excel Expert-level Excel capability, including: PivotTables and PivotCharts Power Query XLOOKUP and advanced lookup functions Complex formulas and analytical modelling Data validation, cleansing and transformation VBA and macros would be advantageous Power BI and Data Visualisation Strong Power BI experience, including: Data modelling DAX Power Query Dashboard ...

service delivery An understanding of Infrastructure as Code concepts (Demonstrable Terraform experience a plus) Demonstrable experience of Data Pipeline testing, including automated testing, data validation and code assurance Demonstrable experience of working within Agile Delivery projects An understanding of data formats for ingest, transformation and analytics, data security, access control ...

report and dataset performance improvement by reviewing data models, DAX calculations, queries and refresh approaches, escalating more complex optimisation needs where required. Apply data validation, reconciliation and testing approaches to ensure analytics outputs are accurate, reliable and aligned to approved sources. Document solutions clearly, including data sources, logic, refresh schedules ...

cost, and business value Translate ambiguous business requirements into clear analytical and AI use cases Conduct exploratory analysis, feature engineering, model development, evaluation, and validation activities Partner with Data Engineers, Architects, Product Owners, and stakeholders throughout the delivery lifecycle Support the operationalisation of AI solutions through APIs, cloud platforms, MLOps ...

modern data engineering frameworks Apply infrastructure-as-code and automation approaches to the deployment and management of data platforms Build data quality, validation, monitoring and observability into engineering solutions Ensure security, governance and data protection requirements are considered throughout solution design and delivery Work with architects, cloud engineers, security specialists ...

modern data engineering frameworks Apply infrastructure‐as‐code and automation approaches to the deployment and management of data platforms Build data quality, validation, monitoring and observability into engineering solutions Ensure security, governance and data protection requirements are considered throughout solution design and delivery Work with architects, cloud engineers, security specialists ...

ability to explain business and technical concepts clearly.* Understanding of insurance business processes, organisational structures and capability models.* Proficiency in Excel for analysis, validation and requirements support, and experience working with delivery tools such as Azure DevOps or equivalent.Desirable:* Previous experience of Claims processes, Claims operations ...

functions, variables, data structures, control flow, unit testing, integration testing and -debugging. Ability to work with data and apply basic data quality checks, validation and transformation. Ability to produce clear, structured and concise written documentation for technical and non-technical audiences. Additional essential criteria Attention to detail and a commitment ...

scheduling, dependency management, error handling, alerting, and incident response - to ensure reliable and timely data delivery for the FinOps team. Apply data quality and validation frameworks to ensure accuracy, completeness, and freshness of cost and usage data across all cloud providers; instrument pipelines with observability tooling to surface issues proactively. ...

solutions across Smiths Group and its divisions, actively promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. ...

solutions across Smiths Group and its divisions, actively promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. ...

York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are seeking a Lead, Data Validation Specialist to oversee a team of Data Validation Specialists responsible for ensuring the accuracy and integrity of financial data during new client onboarding. You'll manage daily … employment. Please note that visa sponsorship is not available for this role. What You’ll Do Lead and mentor a team of Data Validation Specialists, supporting career development, delivering regular feedback, and helping individuals thrive in their role Manage a team's work allocation, prioritization, and execution to ensure ...

Ensure traceability from policy/regulatory expectation to CDE to SOR/AR to controls to lineage to exception management to audit evidence. Support validation readiness by producing clear, audit-ready documentation and evidence packs. Location The role supports one of our top-tier banking clients in London (Canary Wharf … programs involving CDEs, SOR/authoritative sources, controls, and lineage . Experience working in regulated remediation/regulatory delivery environments with exposure to validation, audit evidence, and structured governance. Strong stakeholder management across business, operations, technology, and governance functions. Domain Knowledge Strong understanding of Capital Markets and Finance data domains ...

approaches for moving CRS data into staging and production database environments . Develop robust processes for data extraction, transformation and loading. Ensure data quality, validation, reconciliation and governance throughout the migration lifecycle. Support the migration and transformation of data required for 140+ operational reports . Work closely with business … . Strong experience in logical and physical data modelling . Experience designing database structures for operational and reporting requirements. Strong understanding of data quality, validation, reconciliation and governance . Experience migrating large or complex datasets between platforms. Experience designing staging and production data environments . Strong understanding of data transformation ...

support reliable integration between systems. Integrate data from REST APIs and other source systems, working with Parquet and S3-compatible object storage. Implement data validation, assurance, metadata management and traceability to ensure data is accurate, complete and fit for purpose. Develop tools for data-driven insights and task automation … supporting data solutions within OpenShift or Kubernetes environments. Experience using GitLab CI/CD to automate build, test and deployment activities. Understanding of data validation and assurance approaches, including quality controls and reconciliation. Understanding of metadata management, data lineage and traceability. Strong problem-solving skills and the ability to collaborate ...

Tech, Regional Business Process teams and implementation partners, the Business Process Analyst will support end-to-end process analysis, requirements documentation, UAT coordination, data validation, release readiness and stakeholder communications. Key Responsibilities D365 Finance & Operations Support: The Analyst role will support and drive process analysis and transformation across elements … working tables and data management projects. Support the Global O2C team in the use of Microsoft Dynamics 365 F&O, including issue investigation, data validation, documentation, and escalation of complex topics. Collaborate with Global Tech, Regional Business Process teams, and external partners on business requirements, system updates, releases, interface integration ...

ICDs) to support reliable system integration. Integrate data from REST APIs and other source systems, including Parquet and S3-compatible object storage. Implement data validation, assurance, metadata management and data traceability. Develop tools to support data-driven insights and task automation. Work with customer and internal stakeholders to define data … integration and troubleshooting data exchanges between systems. OpenShift or Kubernetes environments. GitLab CI/CD practices and automated build, test and deployment pipelines. Data validation, quality controls and assurance. Metadata management, data lineage and traceability. Strong problem-solving, critical thinking and stakeholder communication skills. Desirable Experience A degree in STEM ...

anomaly detection. Apply statistical and machine learning techniques to analyse structured and semi-structured datasets. Perform exploratory data analysis, feature engineering, model training, validation and model evaluation. Compare model approaches, select appropriate metrics and explain technical trade-offs clearly. Build reusable notebooks, scripts and pipelines that support repeatable machine learning … skills and experience working with complex or sizeable datasets. Solid theoretical and practical understanding of supervised learning, unsupervised learning, statistical modelling, feature engineering, validation, model evaluation and optimisation. Hands-on experience with Python-based machine learning libraries, especially Scikit-Learn and at least one of XGBoost, LightGBM, TensorFlow or PyTorch. ...

plus). Proficiency in SQL (advanced querying, performance tuning, reconciliation logic). Strong proficiency in Python for data analysis and automation (pandas, validation frameworks, scripting). Experience supporting or validating ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling). Working knowledge of scheduling/orchestration tools … with large-scale storage patterns (e.g., AWS S3) for dataset movement and controls. Experience supporting BI/reporting outputs such as Tableau dashboards (data validation, extract refresh checks, reconciliation to source). Nice-to-Have Experience with tools such as PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases. ...

data assets in Fabric and Databricks without repeatedly cleaning and reconciling source data. Analytical work identifies useful signals and viable opportunities, with transparent baselines, validation and limitations. Successful models and features move beyond notebooks into maintainable Fabric and Databricks pipelines, APIs or products. Essential Skills and Experience At least three … Delta and SQL transformations, and data-quality controls in Microsoft Fabric and Databricks. Strong grounding in exploratory data analysis, statistics, feature engineering, model selection, validation and error analysis. Practical experience with NLP, information extraction, entity resolution, embeddings or other techniques relevant to document-heavy and relationship-rich data. Good understanding ...

Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data. Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency … presentations, documents, workshops, and agile meetings. Demonstrated experience applying enterprise-authorized AI capabilities within the work environment in architecture and engineering workflows with strong validation habits and awareness of data sensitivity. Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures while meeting resiliency, security, and auditability requirements. ...

consolidated view, clarifying requirements, and tracking completion Lead release management by aligning stakeholders, managing dependencies and risk, and overseeing readiness, deployment, and post-release validation Develop secure, high-quality production code and contribute to technical troubleshooting, reviews, and continuous improvement Drive team adoption of enterprise-authorized AI-assisted engineering practices … improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns Apply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized through automation Required qualifications, capabilities ...

support. Design and implement reproducible, testable data workflows that enable advanced analytics and Artificial Intelligence and Machine Learning (AI/ML) use cases, incorporating validation, monitoring, observability, experimentation, versioning, and production deployment capabilities. Lead architectural decisions and influence technical prioritisation, partnering closely with product and delivery teams to align engineering … cloud environments such as Amazon Web Services (AWS) or Microsoft Azure, including infrastructure provisioning and automation using Infrastructure as Code. Strong understanding of data validation, testing strategies, code quality practices, and the ability to independently drive technical solutions from design through delivery. Experience supporting advanced analytics and AI/ ...

PySpark and Spark SQL, with Delta Lake as the storage foundation Tuning Databricks workloads for performance and cost, and embedding quality checks and validation into every pipeline Implementing governance in practice: Unity Catalog, Azure Purview, data lineage, metadata and monitoring Automating deployments through CI/CD in Azure DevOps ...

business and technical stakeholders to elicit, analyse, prioritise, and document business requirements. Own the end-to-end requirements lifecycle, including workshops, process mapping, and validation sessions. Capture and document As-Is and To-Be processes using industry-standard techniques (e.g. BPMN, UML) and perform gap analysis. Produce clear and concise ...