1 to 25 of 1,253 Validation Jobs in the UK

Validation/Quality Assurance Specialist, Pharmaceutical Location: Derby Salary: £30,000-£34,000 depending on experience (plus company bonus) Hours: Monday - Friday, days, 35h per week Russell Taylor is working exclusively with a leading pharmaceutical manufacturer (CMO) who are continuing to grow; backed by significant investment, new leadership, and modernised … validation systems and processes, the company is expanding its validation team at this time. The Validation Specialist will play a key role in supporting site validation activities across a range of projects. This is a great opportunity for someone with GMP validation experience looking to build on their existing knowledge ...

this role. Apply fast, check the full description by scrolling below to find out the full requirements for this role. Overview The Head of Validation, Model Risk is a senior leadership role responsible for setting enterprise direction for model validation—delivering independent, risk-based oversight across a diverse portfolio … fraud and compliance, finance and HR, and rapidly evolving Gen AI and agentic use cases. This role serves as the senior authority for model validation, setting the bar for defensible methodologies, rigorous challenge, and clear, decision-ready risk communication to senior leaders. The Head of Validation will strengthen model risk ...

concepts. Design and deploy AI-powered applications to improve sales productivity, automate workflows, and enhance decision-making. Support the migration to Epicor, including data validation, reporting, and process optimisation. Support the implementation and development of a modern data platform, including Snowflake. Integrate data from multiple business systems to deliver trusted ...

complete, accurate, consistent and fit for purpose. Support the development and monitoring of data quality indicators and performance measures, applying appropriate analytical, audit and validation methodologies. Investigate and help resolve complex data quality issues through root cause analysis and collaboration with stakeholders across the Trust. Promote awareness of data quality ...

Description hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. \n Overview \n The Head of Validation, Model Risk is a senior leadership role responsible for setting enterprise direction for model validation—delivering independent, risk-based oversight across a diverse portfolio of models spanning investment … fraud and compliance, finance and HR, and rapidly evolving Gen AI and agentic use cases. This role serves as the senior authority for model validation, setting the bar for defensible methodologies, rigorous challenge, and clear, decision-ready risk communication to senior leaders. The Head of Validation will strengthen model risk ...

warehousing concepts Experience gathering and documenting complex business and technical requirements. Strong stakeholder management and workshop facilitation skills. Experience supporting testing, UAT, and data validation activities. Excellent communication and documentation skills. Desirable Skills SQL and data analysis experience. Exposure to actuarial, underwriting, or risk data. Experience with Azure Data Platform ...

data loads. Create data transformation and cleansing processes using PySpark and Spark DataFrames. Develop Python-based utilities and automation scripts to support migration and validation activities. Design and optimise data models, SQL queries, stored procedures and analytical views within Azure Synapse Analytics. Manage data ingestion, transformation and storage across Azure ...

Visio. Desirable experience Understanding of networking, containers or CI/CD pipelines. Scripting experience with Python, Bash or PowerShell. Infrastructure as Code (IaC) validation experience using Terraform or Ansible. ISTQB certification. Additional technical certifications If you'd like to discuss this role in more detail, please send your updated ...

Data Governance, and Data Quality solutions. Develop and review SIT and UAT test scenarios, test scripts, and test evidence. Conduct data analysis and validation activities to ensure data accuracy and integrity. Define and monitor data quality rules, controls, and KPIs. Identify, investigate, and support the resolution of data quality issues. ...

Advanced PySpark and SQL, performance tuning and best practice coding Data modelling (conceptual, logical, physical) and integration design Data quality, testing frameworks and automated validation Strong data analysis, profiling and insight delivery Cloud & Platforms Azure: Data Factory, Synapse, Databricks, ADLS Gen2, Event Hub, Purview AWS: S3, Glue, Athena, Kinesis, Lambda ...

/DEV timely and start execution. Validate financial calculations, transaction flows, compliance logic, and reporting across various platforms. This includes end-to-end data validation across ETL pipelines, databases, and reporting layers Validate performance of system via performance and load testing leveraging tools for the purpose Develop and maintain test ...

processes, and automated testing for data.- Designed data models (star schema, transformed delta tables, data marts) for analytics and BI.- Ensured data quality through validation, profiling, reconciliation, and automated tests.- Improved or restructured existing reporting environments to make them scalable, governed, and self-service friendly.- Provided guidance, reviewed code, coached ...

pipelines to collect, process, and store large volumes of structured and unstructured data from various sources. ● Develop and maintain data quality checks and data validation processes. ● Develop and automate reports, dashboards, and data visualisations to communicate insights and trends effectively to stakeholders. ● Build and maintain tooling and frameworks to automate ...

pipelines to collect, process, and store large volumes of structured and unstructured data from various sources. ● Develop and maintain data quality checks and data validation processes. ● Develop and automate reports, dashboards, and data visualisations to communicate insights and trends effectively to stakeholders. ● Build and maintain tooling and frameworks to automate ...

pipelines to collect, process, and store large volumes of structured and unstructured data from various sources. ● Develop and maintain data quality checks and data validation processes. ● Develop and automate reports, dashboards, and data visualisations to communicate insights and trends effectively to stakeholders. ● Build and maintain tooling and frameworks to automate ...

including ability to write complex stored procedures, Table Functions and HANA views using SQL Administer data models in SAP HANA, including setting of information validation rules, managing schemas, the importing/exporting and transporting of data models. Apply advanced data modelling techniques, including currency conversion, variables and input parameters. Implement ...

Delivery & Program Management Lead end-to-end SAP Analytics and Planning implementations, including: Requirements gathering Stakeholder workshops Solution design Build and configuration Testing and validation Deployment and hypercare support Oversee Agile, Hybrid, and Waterfall delivery approaches as appropriate. Manage program risks, dependencies, budgets, timelines, and stakeholder expectations. Ensure successful delivery ...

Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. \n Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. \n Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. ...

learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise ...

learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise ...

outputs are accurate, reliable, and aligned to business needs. Work with data sourced from enterprise data platforms and cloud-based data environments. Support data validation, reconciliation, and quality assurance activities. Collaborate with data engineering and architecture teams to understand data structures and reporting requirements. Translate complex datasets into clear ...

tools (e.g. Airflow, Data Factory) A solid understanding of data modelling (e.g. star schemas, SCD) and governance principles Experience implementing data quality testing and validation Familiarity with CI/CD and version control (e.g. Git, GitHub Actions, Azure DevOps) Knowledge of cloud security principles and working within governed environments ...

processes and improve data efficiency. Collaborate with planners, cost engineers, project managers and client stakeholders to deliver accurate and timely reporting. Assist with data validation, cleansing and quality assurance activities. Contribute to the continuous improvement of reporting standards, data governance and Business Intelligence capabilities. Support the wider Project Controls function ...

Review and evaluate AI-generated outputs for quality, accuracy, and consistency. Identify, document, and report bugs, errors, and performance issues. Support the testing and validation of AI models and applications. Document AI workflows, testing procedures, and project updates. Collaborate with developers, data analysts, and project managers on AI initiatives. Conduct ...

Review and evaluate AI-generated outputs for quality, accuracy, and consistency. Identify, document, and report bugs, errors, and performance issues. Support the testing and validation of AI models and applications. Document AI workflows, testing procedures, and project updates. Collaborate with developers, data analysts, and project managers on AI initiatives. Conduct ...