1 to 25 of 432 Validation Jobs in the South East

using Azure SQL Technologies • Collaborate with analysts, and business stakeholders to understand data requirements and translate them into technical solutions. • Developing and implementing data validation and reconciliation processes to ensure data quality and consistency across the data platforms. • Troubleshooting and resolving issues related to data transformation, data loading, and data ...

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 ...

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 ...

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 ...

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 ...

data pipelines • Implement ETL (Extract, Transform, Load) processes to ingest data from various sources • Ensure data quality, integrity, and reliability through thorough testing and validation Database Management • Help manage and optimise data storage solutions (e.g., SQL and NoSQL databases, data lakes) • Monitor and assist in maintaining database performance and security ...

using Azure SQL Technologies Collaborate with analysts, and business stakeholders to understand data requirements and translate them into technical solutions. Developing and implementing data validation and reconciliation processes to ensure data quality and consistency across the data platforms. Troubleshooting and resolving issues related to data transformation, data loading, and data ...

financial applications. Oversee design reviews and code quality for AI-assisted development, maintaining best practices in Python and other languages. Establish robust testing and validation frameworks for AI-generated code, including prompt engineering and compliance checks. Mentor engineering teams and set standards for mixed human/AI development environments. Collaborate ...

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 ...

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 ...

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 ...

multi-disciplinary problem solving. The Opportunity You will coordinate and deliver custom engineering projects using Sonardyne technology, from concept and prototype through test, validation and integration. Working closely with internal teams and customers, youll ensure solutions are delivered safely, on time, on budget and to the highest technical standard. This ...

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/ ...

service areas, including budget setting. Undertake audits/research to determine effectiveness, performance and improvements. Lead on all aspects of data quality and data validation for the Trust. Be the Registration Authority for HHFT Deputising for CIO as required in both internal and external matters. be responsible for delivering effective ...

Experience of Process Mapping/AS-IS TO- BE/TOM/Documenting Standards Advanced data analysis and expertise - Requirements elicitation/documentation and validation/process modelling/Gap analysis and impact assessments Governance Excellent communication and interpersonal skills Senior stakeholder management Location: LondonHybrid: 2 office days/ ...