5 of 5 Permanent Validation Jobs in Welwyn Garden City

system configuration.• Drive continuous improvement initiatives to maximise platform value, improve user experience and increase operational efficiency across the portfolios.• Lead the testing and validation of new functionality, ensuring solutions meet agreed requirements and acceptance criteria before release.• Maintain ownership of Project Boards and associated ways of working, ensuring they ...

this role, your primary modelling focus will be neural network‐based forecasting, with a strong emphasis on rigorous evaluation against robust baselines, careful validation, and scalable deployment. Our Data Scientists must be able to validate, document and present the modelling process and performance, as well as communicate complex solutions ...

assess network configuration compliance. Monitor network devices and services against internal standards and industry-recognised security benchmarks. Develop automated compliance reporting and compliance validation capabilities. Investigate configuration drift and support remediation activities. Support audit and governance activities through accurate reporting and evidence collection. Continuous Improvement & Operational Efficiency Drive initiatives that ...

deploy forecasting and probabilistic models for large-scale retail time series. You will blend data from multiple sources and build robust pipelines for training, validation and backtesting, ensuring scalable, measurable business value. You will mentor juniors, promote data science across the organisation, and collaborate closely with engineering, product and business ...

role, your primary focus will be forecasting and related statistical or probabilistic modelling, with a strong emphasis on rigorous evaluation against robust baselines, careful validation, and scalable deployment.Our Data Scientists must be able to validate, document and present the modelling process and performance, as well as communicate complex solutions … retail and business time series.• Blending data from multiple sources to explain historic behaviour and generate forward-looking predictions and scenarios.• Building robust training, validation and backtesting pipelines, including time-aware evaluation, leakage controls and stability checks.• Applying best practices for productionisation, including monitoring, retraining strategies, and performance and cost ...