1 to 25 of 133 Validation Jobs in the Thames Valley

Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions and drive adoption across teams and geographies. Governance & Compliance: Implement data validation, monitoring, and documentation to ensure integrity, traceability, and compliance with privacy and security standards. Cross-functional Collaboration: Work with deployment strategists, software engineers, and product ...

Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions and drive adoption across teams and geographies. Governance & Compliance: Implement data validation, monitoring, and documentation to ensure integrity, traceability, and compliance with privacy and security standards. Cross-functional Collaboration: Work with deployment strategists, software engineers, and product ...

assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) Incorporate big data processing scenarios requiring scalable computational approaches Verify solutions using Python with standard data science libraries and statistical methods Document problem ...

assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) Incorporate big data processing scenarios requiring scalable computational approaches Verify solutions using Python with standard data science libraries and statistical methods Document problem ...

assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) Incorporate big data processing scenarios requiring scalable computational approaches Verify solutions using Python with standard data science libraries and statistical methods Document problem ...

assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) Incorporate big data processing scenarios requiring scalable computational approaches Verify solutions using Python with standard data science libraries and statistical methods Document problem ...

Design and deliver training on applied experimentation and causal reasoning that enables teams to evaluate process changes - such as adopting new data pipelines, switching validation methods, or implementing AI-assisted workflows - and quantify their impact on dataset quality and business outcomes. Build a curriculum on experimental design, A/ ...

Developer Support Role As a technical support role, the responsibilities include: Software and tools development Development support within team Technical research and evaluation Testing, validation, documentation Dealing externally on technical matters Keeping an eye on all technical issues around the team to provide guidance and support Technical Innovator ...

develop, and implement FPGA solutions using VHDL. - Collaborate with cross-functional engineering teams to define and refine system requirements. - Conduct comprehensive testing, verification, and validation of designs. - Troubleshoot and provide technical support throughout the project lifecycle. - Document designs, methodologies, and outcomes clearly and thoroughly. What You’ll Bring: - Proven experience ...

solve real-world business problems. End-to-End Data Science: Practical knowledge across the full lifecycle—from feature engineering and model design to validation, deployment, and monitoring. Technical Proficiency: Fluency in Python, SQL, or similar languages, and experience with deep learning frameworks such as TensorFlow, Keras, PyTorch, or MXNet. Agile ...

global data governance rules, ownership models, and quality standards. Monitor and improve accuracy, completeness, and consistency of HR master data. Lead routine data audits, validation checks, and clean-up activities. Ensure alignment between Workday and downstream systems such as Payroll, Finance, and IT. Workday Expertise Serve as the expert ...

global data governance rules, ownership models, and quality standards. Monitor and improve accuracy, completeness, and consistency of HR master data. Lead routine data audits, validation checks, and clean-up activities. Ensure alignment between Workday and downstream systems such as Payroll, Finance, and IT. Workday Expertise Serve as the expert ...

global data governance rules, ownership models, and quality standards. Monitor and improve accuracy, completeness, and consistency of HR master data. Lead routine data audits, validation checks, and clean-up activities. Ensure alignment between Workday and downstream systems such as Payroll, Finance, and IT. Workday Expertise Serve as the expert ...

configuring business processes and security Create ETL scripts to transform and load data, and create strategies to improve and normalize client data Support the validation of data loaded into Workday Regularly engage and support the client through all phases of the project, ensuring a smooth transfer from legacy systems ...

configuring business processes and security Create ETL scripts to transform and load data, and create strategies to improve and normalize client data Support the validation of data loaded into Workday Regularly engage and support the client through all phases of the project, ensuring a smooth transfer from legacy systems ...

pioneering medical technology company to recruit a Principal Embedded Software Engineer. In this senior role, you will contribute to the design, development, verification, and validation of Class III active implantable medical devices. Youll collaborate closely with the System Architect, providing technical leadership in embedded software and systems integration, ensuring compliance ...

ensuring data quality in analytics platforms. Certifications in automation testing – e.g., ISTQB, Selenium, or Azure Data Factory testing certifications that demonstrate expertise in automated validation of data workflows. Experience in identifying, researching, and analysing emerging testing trends and technologies – e.g., exploring AI-assisted test automation, data quality monitoring tools ...

ensuring data quality in analytics platforms. Certifications in automation testing – e.g., ISTQB, Selenium, or Azure Data Factory testing certifications that demonstrate expertise in automated validation of data workflows. Experience in identifying, researching, and analysing emerging testing trends and technologies – e.g., exploring AI-assisted test automation, data quality monitoring tools ...

Develop scalable ETL pipelines in Python for high-volume financial data. Build cloud-based data lake environments (AWS/Databricks). Implement robust data validation and quality checks. Work with researchers to design pipelines for modeling and back-testing. Document and maintain the firm's core data architecture. Requirements: 5+ ...

implementation and rollout of Sage across the business, working closely with internal stakeholders and external vendors. Assist in data migration activities — cleansing, mapping, validation, and import from legacy systems into Sage. Provide technical and user support, troubleshooting issues during implementation and post-go-live. Work with IT and Finance teams ...

NoSQL database technologies, with strong query optimisation skills. Solid understanding of data quality frameworks, data governance practices, and implementing automated testing/validation within pipelines. Proficient with version control systems such as Git, including branching strategies and CI/CD integration. Experience working within Agile delivery environments, collaborating closely with ...

behaving correctly. Using observability tools (Splunk, Prometheus, CloudWatch, etc.) to track down issues before they become incidents. Producing concise technical documentation—test plans, validation reports, defect logs—nothing fluffy. Driving infrastructure testing automation using scripting and pipeline integration. What You'll Bring Solid experience testing infrastructure across Windows/Linux ...

passion into skills that employers need. This apprenticeship will teach you essential data skills, including how to source, format and present data; data validation and analysis; and how to apply legal and ethical principles when gathering and manipulating business data. INDDA ...

ensuring compliance and operational efficiency. Conduct gap analysis and recommend process improvements or system enhancements. Oversee and perform data migration activities, including data mapping, validation, and reconciliation. Develop and lead testing strategy: SIT, UAT, regression testing, parallel payroll testing, and issue resolution. Client Management & Advisory Serve as the primary point ...

ensuring compliance and operational efficiency. Conduct gap analysis and recommend process improvements or system enhancements. Oversee and perform data migration activities, including data mapping, validation, and reconciliation. Develop and lead testing strategy: SIT, UAT, regression testing, parallel payroll testing, and issue resolution. Client Management & Advisory Serve as the primary point ...