226 to 250 of 3,710 Validation Jobs in England

Python for data pipelines, automation and integrations Designing and supporting production data pipelines and data warehouses Data modelling and scalable data architecture Data quality, validation, monitoring and observability Git, code reviews, automated testing and CI/CD Troubleshooting complex data and production issues Working independently and taking ownership of technical … comfortable working with inconsistent upstream data, identifying root causes and implementing practical solutions to improve data integrity, reliability and quality . Experience with automated validation approaches using SQL/Python or technologies such as Great Expectations or dbt tests would be particularly relevant. Alongside hands-on delivery, you will have ...

maintain the controlled data foundation behind Product Performance: the integrated WBS, cost, schedule, and benchmark data structures; source metadata, mappings, and refresh controls; validation and reconciliation routines; and the repeatable reporting built on top.You will keep the foundation auditable, refreshable, and capable of supporting product performance analysis over time … data foundation.* Maintain regional factor-pack inputs and support configuration bridge analysis, sensitivity reporting, and regional variant data maintenance.* Maintain change logs, assumptions logs, validation reports, and refresh-cycle records, and provide analytical input to benchmark refresh decisions.* Populate, validate, and reconcile baseline refresh inputs against approved source data, assumptions ...

performance, security, availability and capacity. Manage backups, restores, upgrades, patching and disaster recovery. Lead the IFS Cloud data migration, including planning, extraction, cleansing, transformation, validation and reconciliation. Coordinate migration activities with stakeholders, suppliers and implementation partners. Identify and resolve data quality issues and support data governance. Develop complex SQL queries … Advanced SQL development and troubleshooting skills. Experience delivering data migration projects involving large and complex datasets. Experience designing and carrying out data reconciliation and validation activities. A good understanding of database security, data governance and data quality principles. Strong analytical and problem-solving skills. Excellent communication skills, with the ability ...

business. Ifyou'renaturally curious, highly organised and enjoy solving problems through evidence‐based decision making,we'dlove to hear from you. Key responsibilities AI Validation & Quality Assurance Validate AI-generated outcomes across Energy and Insurance before they are used in business processes. Review call recordings,transcriptsand AI rationale todeterminewhether outcomes … areaccurateand appropriately applied. Identifytrue fails, false fails, accepted exceptions and potential technical issues. Ensure validation activities are completed accurately and consistently against agreed criteria. Analysis & Reporting Update system records and validation fields to ensure reportingremainsaccurateand reliable. Support monthly reporting cycles through completion of validation reviews and challenge processes. Conduct periodic ...

Задачи: Design and own the Snowflake data architecture, including data models, schemas, warehouses, RBAC, and performance; Write and optimize complex SQL for extraction, transformation, validation, and ad-hoc analysis; Build Python-based pipelines and transformations; Design and maintain integrations with upstream and downstream systems via RESTful APIs and Core Connectors … Develop subject‐matter expertise on key data elements and ensure data lineage and accuracy; Implement data quality checks, automated validation, and testing; Build and automate departmental workflows, approvals, and notifications using Microsoft Power Platform; Integrate Microsoft Power Platform workflows with Snowflake and other systems via APIs; Design, develop, and maintain ...

things that only surface once it lands: automation overwriting values post-import, subscription or contract logic that doesn't map cleanly, validation rules that silently reject or reshape records. You'll work closely with the Head of Data Migrations, data owners, and platform specialists (Salesforce, Chargebee, Dynamics) to make sure … both systems — not just field lists, but the underlying logic, constraints, and assumptions each platform makes Identify where source and target behave differently (validation rules, required fields, relationship structures, calculated vs. stored values, automation-driven overwrites) during discovery, and design for it rather than letting it surface as a defect ...

lineage, and consistency across systems and geographies. Support CRM and commercial data for analytics and customer engagement use cases. Coordinate data ingestion, cleansing, transformation, validation, and documentation. Support semantic model design and lead/support UAT, issue tracking, and sign-off. Maintain data governance, metadata, and quality standards across datasets. … regulated environments. Data quality, governance, and metadata management. SQL and relational databases. CRM systems and commercial/customer data management. Data preparation, transformation, and validation for AI/analytics use cases. UAT support, requirements gathering, and business process documentation. Preferred Skills: Experience supporting international commercial operations, customer engagement, or commercial ...

auditability. Build and operate AI-monitoring controls covering model performance, fairness, bias, drift and validation. Support model-testing activities including hold-out testing, cross-validation and performance measurement. Contribute to AI risk assessments, governance documentation and ongoing oversight. Conduct root-cause analysis and support reporting, investigations and wider analytical requirements. … analytics. Strong SQL and Python skills for data analysis, profiling and control development. Experience designing or operating data-quality rules, profiling routines or automated validation controls. Experience working with structured and unstructured datasets. Strong understanding of metadata concepts including classification, lineage, taxonomies and ontology modelling. Knowledge of AI and machine ...

things that only surface once it lands: automation overwriting values post-import, subscription or contract logic that doesn't map cleanly, validation rules that silently reject or reshape records. You'll work closely with the Head of Data Migrations, data owners, and platform specialists (Salesforce, Chargebee, Dynamics) to make sure … both systems — not just field lists, but the underlying logic, constraints, and assumptions each platform makes Identify where source and target behave differently (validation rules, required fields, relationship structures, calculated vs. stored values, automation-driven overwrites) during discovery, and design for it rather than letting it surface as a defect ...

configuration and clearly documented functional design decisions. Support end‐to‐end testing including unit testing, system integration testing, UAT, regression testing and payroll‐impact validation for absence entries and balances. Work with payroll, HR operations and technical teams to resolve absence defects, data issues and integration failures. Prepare functional specifications … configuration and clearly documented functional design decisions. Support end‐to‐end testing including unit testing, system integration testing, UAT, regression testing and payroll‐impact validation for absence entries and balances. Work with payroll, HR operations and technical teams to resolve absence defects, data issues and integration failures. Prepare functional specifications ...

lineage, and consistency across systems and geographies. Support CRM and commercial data for analytics and customer engagement use cases. Coordinate data ingestion, cleansing, transformation, validation, and documentation. Support semantic model design and lead/support UAT, issue tracking, and sign-off. Maintain data governance, metadata, and quality standards across datasets. … regulated environments. Data quality, governance, and metadata management. SQL and relational databases. CRM systems and commercial/customer data management. Data preparation, transformation, and validation for AI/analytics use cases. UAT support, requirements gathering, and business process documentation. Preferred Skills: Experience supporting international commercial operations, customer engagement, or commercial ...

Apply machine learning techniques to low signal‐to‐noise datasets where robustness and statistical discipline are critical. Conduct extensive out‐of‐sample testing and validation to ensure model reliability and performance. Evaluate model effectiveness using appropriate statistical techniques and predictive performance metrics. Develop approaches for handling non‐stationary data, structural … market changes, and evolving market regimes. Design methodologies for modelling rare events and infrequent outcomes. Model Validation and Research Standards Produce comprehensive evidence supporting model validity and research conclusions. Work within a rigorous research framework emphasizing reproducibility, explainability, and statistical robustness. Support independent validation processes through clear documentation and transparent ...

Microsoft Power BI certification). Strong understanding of semantic models, tabular models and dimensional modelling (star schema). Solid SQL skills for data exploration, validation and analysis. Experience delivering reporting solutions for operational, commercial and executive audiences. Strong communication skills with the ability to engage technical and non-technical stakeholders. … patient outcomes. Additional Criteria Strong understanding of semantic models, tabular models and dimensional modelling (star schema). Solid SQL skills for data exploration, validation and analysis. Experience delivering reporting solutions for operational, commercial and executive audiences. Strong communication skills with the ability to engage technical and non-technical stakeholders. ...

provide broad exposure to regulatory reporting workflows, technology modernization initiatives, and emerging AI-enabled capabilities across the regulatory reporting ecosystem.Key ResponsibilitiesBusiness Analysis, Requirements Definition & Validation* Lead key workstreams in a multi-year program to modernize PIMCO’s global regulatory transaction reporting platform* Partner with Regulatory Operations and external vendors … Collaborate with engineering teams throughout the software development lifecycle to support successful implementation of new capabilities and enhancements.* Develop test scenarios, test cases, and validation approaches for technology enhancements and regulatory reporting changes.* Coordinate testing activities with Regulatory Operations, Engineering, and other business stakeholders.* Assist with defect triage, issue analysis ...

Title: FM Data Transformation Lead Location: Stevenage/Bolton/Bristol - Hybrid The role will take ownership of the transformation from validation of the current position through to data governance, standardisation, technical foundations, reporting implementation, adoption and handover. Working across all FM functions, the postholder will bring together FM reporting … change management. Establish a consistent FM KPI library, including agreed definitions, calculation methodologies, ownership and approval routes. Define data quality standards and appropriate validation and reconciliation controls. Identify duplication, conflicting definitions and gaps across existing FM reporting. Establish appropriate governance for the ongoing creation, amendment and retirement of FM KPIs ...

support a time-critical supplier master data migration programme for a major insurance sector client. The successful candidate will lead the identification, remediation and validation of supplier master data, ensuring data is complete, accurate and fit for purpose ahead of key migration milestones. This is a hands‐on delivery role … data issues and secure business decisions. Build strong relationships across business and programme teams to accelerate issue resolution. Drive stakeholder accountability for data ownership, validation and approvals. Present progress updates, risks and recommendations to programme leadership. Delivery Leadership Provide day-to-day direction and oversight to a junior Business Analyst. ...

standards across the product, using strong fund knowledge and working SQL skills to identify, investigate, and resolve data issues Own day-to-day data validation and quality checks, investigating anomalies and assessing the impact of data issues on clients, reporting, and downstream product functionality Track regulatory developments across PRIIPs, Solvency … release Support backlog grooming and prioritisation by assessing requirements, dependencies, data implications, and potential impact across the product Participate in UAT and feature validation, using a strong understanding of fund data and product functionality to identify issues, challenge outputs, and ensure requirements have been met Conduct market and competitor research ...

lineage, and consistency across systems and geographies. Support CRM and commercial data for analytics and customer engagement use cases. Coordinate data ingestion, cleansing, transformation, validation, and documentation. Support semantic model design and lead/support UAT, issue tracking, and sign-off. Maintain data governance, metadata, and quality standards across datasets. … regulated environments. Data quality, governance, and metadata management. SQL and relational databases. CRM systems and commercial/customer data management. Data preparation, transformation, and validation for AI/analytics use cases. UAT support, requirements gathering, and business process documentation. Preferred Skills: Experience supporting international commercial operations, customer engagement, or commercial ...

Team: The ESG Data Owner role sits within the Data Enablement team at S&P Dow Jones Indices. The team supports the management, validation, and delivery of datasets used in the maintenance and rebalance of S&P Dow Jones indices across multiple asset classes. This role will focus … maintain clear data governance practices, including documentation, lineage, controls, and issue resolution. Key Responsibilities Manage ESG datasets across the data lifecycle, including ingestion, validation, quality review, documentation, and delivery for index use. Support the preparation and maintenance of ESG datasets such as GHG emissions, physical risk, ESG scores, and other ...

frequently and understand NoSQL databases Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectation s. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts … Python. Experience across the data lifecycle. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before ...

teams. Key Responsibilities Provide expert guidance on SAS architecture, data flows, platform design, and cloud re-platforming approaches. Define and assure the SAS migration, validation, and reconciliation strategy alongside data engineering and architecture teams. Support the development of High-Level Designs (HLDs), Low-Level Designs (LLDs), technical documentation, and knowledge … articles. Ensure SAS data integrity throughout migration, testing, validation, and dual-running activities. Mentor and support SAS Engineers and implementation teams throughout the delivery lifecycle. Skills We Can't Do Without Extensive experience as a SAS Subject Matter Expert , including SAS architecture, administration, and analytics platforms. Strong understanding ...

customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality software. … also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into production. Strong software engineering ...

significantly. Identify and resolve complex data quality and performance issues across source systems, pipelines, transformations and reporting layers. Introduce and improve monitoring, logging, testing, validation and recovery processes. Work closely with BI Analysts to develop high-quality warehouse models, marts and reusable datasets. Contribute to the development of data engineering … applications and source systems. A strong understanding of data quality, lineage, governance and the challenges associated with inconsistent source data. Experience implementing monitoring, testing, validation and performance improvements across data platforms. Experience using Git/source control and working with modern engineering practices. Experience with CI/CD and automated ...

Data Quality and Data Governance frameworks . Experience with data quality rules, data lineage and metadata management . Strong SQL skills for data analysis, validation and reporting. Experience with tools such as Collibra, Solidatus or Microsoft Purview . Understanding of financial services regulations and compliance , including GDPR. Excellent stakeholder management ...

problem management:** Restore service quickly, coordinate escalations, complete root-cause analysis, and address recurring issues.* **Transformation support:** Support environment readiness, migration, testing, deployment, release validation, and transition to support for new platforms.* **Security and compliance:** Follow change controls and support access governance, SOX, cybersecurity, audit, and operational-risk requirements.* **Stakeholder … middleware, integrations, and cloud services across hybrid environments.* Triage application, database, server, network, middleware, integration, batch-processing, and cloud-service issues.* Support controlled deployments, validation, environment readiness, and production release activities.* Automate support, deployment, validation, monitoring, and documentation activities using approved DevOps and scripting tools.* Analyze SQL and Oracle data ...