1 to 25 of 270 Validation Jobs in the South East

Data Visualization tools (i.e. AWS QuickSight, Power BI, JasperReports, etc) to create and manage reports, data extractions, visualisations and dashboards. Ensure data accuracy and integrity by performing regular data validation and cleansing. Stay updated with industry trends and best practices in data analytics and financial modelling. You embrace the roadmap, support its evolution, and deliver to the best of your More ❯

data quality, security, and governance Integrates data from different sources, including databases, data warehouses, APIs, and external systems Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques Optimizes data pipelines and data processing workflows for performance, scalability More ❯

/opportunities and their mitigation You are expected to be able to work in all areas of top the V model Have an understanding of requirements management (creation, update, validation, verification), including suppliers' integration and DOORS experience, Review and validate Documentation Including: detailed technical documentation, supporting the development of engineering requirements and associated documentation. Support Completion of trade studies Manage More ❯

gas, and weather data sets to establish a basis of further analysis Develop, analyse, and conduct different approaches to forecasts different variables (Demand, wind, solar, prices) Statistical evaluation and validation of different types of forecasts Build the framework to deploy models in production that will be use every day for trading decisions Share this framework with the rest of the More ❯

Windows platforms. Collaborate with multidisciplinary teams, ensuring seamless integration with firmware and electronics. Manage project timescales, resources, and deliverables in conjunction with the Project Manager. Conduct structured software verification, validation, and system integration activities. Prepare and present technical documentation and design reviews to internal teams and customers. Key skills required for the Senior Software Engineer based in Surrey: Proven experience More ❯

data solutions to support system activities. • Write clear specifications and design documents. • Track and document planned enhancements, ensuring alignment between user needs and software deliverables. • Support testing, reconciliation, and validation of outputs (e.g., PnL, position, and exposure reports). Skills and Qualifications: • Strong experience in LNG (ideal) or Bulk Commodities, with knowledge of physical commodity contract structures. • Hands-on experience More ❯

data solutions to support system activities. • Write clear specifications and design documents. • Track and document planned enhancements, ensuring alignment between user needs and software deliverables. • Support testing, reconciliation, and validation of outputs (e.g., PnL, position, and exposure reports). Skills and Qualifications: • Strong experience in LNG (ideal) or Bulk Commodities, with knowledge of physical commodity contract structures. • Hands-on experience More ❯

data solutions to support system activities. • Write clear specifications and design documents. • Track and document planned enhancements, ensuring alignment between user needs and software deliverables. • Support testing, reconciliation, and validation of outputs (e.g., PnL, position, and exposure reports). Skills and Qualifications: • Strong experience in LNG (ideal) or Bulk Commodities, with knowledge of physical commodity contract structures. • Hands-on experience More ❯

accurate documentation, including process flows and specifications Supporting data analysis to provide insights and drive decisions Working closely with stakeholders, developers, testers, and project teams Assisting with testing and validation of new system changes Engaging in ongoing professional development and learning opportunities You’ll report to the Business Solutions Manager while also collaborating with other analysts across the team, contributing More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non More ❯

operations and supporting effective change management Identifying opportunities for process improvement and contributing to continuous service enhancement Supporting ITIL-aligned activities such as demand management, release planning, and service validation Assisting with initiatives relating to Information Security and governance where required You’ll be expected to bring both technical knowledge and a people-focused approach to stakeholder engagement, always aiming More ❯

and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy More ❯

electrical and communication interfaces (e.g., Ethernet, RS-232/485, CAN, I2C, SPI) for high-reliability operation. Lead hardware system integration and testing, including pressure testing, EMI/EMC validation, and underwater operational trials. Collaborate closely with software, mechanical, and systems engineers to ensure cohesive design and successful system-level integration. Generate and maintain comprehensive documentation including schematics, BOMs, test More ❯

electrical and communication interfaces (e.g., Ethernet, RS-232/485, CAN, I2C, SPI) for high-reliability operation. Lead hardware system integration and testing, including pressure testing, EMI/EMC validation, and underwater operational trials. Collaborate closely with software, mechanical, and systems engineers to ensure cohesive design and successful system-level integration. Generate and maintain comprehensive documentation including schematics, BOMs, test More ❯

electrical and communication interfaces (e.g., Ethernet, RS-232/485, CAN, I2C, SPI) for high-reliability operation. Lead hardware system integration and testing, including pressure testing, EMI/EMC validation, and underwater operational trials. Collaborate closely with software, mechanical, and systems engineers to ensure cohesive design and successful system-level integration. Generate and maintain comprehensive documentation including schematics, BOMs, test More ❯

scalable data lakes using AWS S3, with strong understanding of data lifecycle, access control, and performance optimization. Hands-on experience migrating data from Mainframes to AWS, including transformation and validation of legacy formats. Proficiency in reading and processing VSAM data using Copybooks and the Cobrix library. Experience implementing data retention and archival strategies in cloud environments. Strong understanding and practical More ❯

scalable data lakes using AWS S3, with strong understanding of data lifecycle, access control, and performance optimization. Hands-on experience migrating data from Mainframes to AWS, including transformation and validation of legacy formats. Proficiency in reading and processing VSAM data using Copybooks and the Cobrix library. Experience implementing data retention and archival strategies in cloud environments. Strong understanding and practical More ❯

scalable data lakes using AWS S3, with strong understanding of data lifecycle, access control, and performance optimization. Hands-on experience migrating data from Mainframes to AWS, including transformation and validation of legacy formats. Proficiency in reading and processing VSAM data using Copybooks and the Cobrix library. Experience implementing data retention and archival strategies in cloud environments. Strong understanding and practical More ❯

connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for More ❯

rebalancing logic Attribution and decomposition analytics Build robust APIs using FastAPI or Flask Collaborate directly with business users to gather requirements and iterate quickly Implement testing, versioning, and data validation processes Ensure integration with internal data sources and reporting tools Required Skills 5+ years of Python development experience, ideally in financial services or commodities Strong proficiency in Pandas , NumPy , and More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯