6 of 6 Remote/Hybrid Validation Jobs in Lancashire

modelling principles Define and Implement Best Practice Establish scalable standards for: Data modelling (e.g. dimensional modelling, layered architecture) Transformation workflows (ELT patterns) Testing and validation Documentation and governance Introduce modern development practices (e.g. version control, CI/CD where appropriate) Hands-On Delivery Build and optimise data models, transformations ...

fellow analysts, translating complex data into clear, compelling narratives that shape our product roadmap. Key Responsibilities End-to-End Analytics: Own the ingestion, cleansing, validation, aggregation, and reporting of complex datasets to create scalable, long-term analytics solutions. Experimentation & Insight: Design, execute, and analyse A/B (and multivariate) tests ...

/CD/Azure DevOps Role Overview: Design & architecture of applications and design/development of user-facing applications Building reusable code libraries Testing, validation and optimisation Cross application functionality Documenting Problem solving and investigation Peer code reviews Requirements gathering (ad-hoc) Learning and upskilling into new technology ...

downstream consumers. Test planning & governance expertise, including test scope, entry/exit criteria, defect triage, and reporting to programme leadership. Hands on data validation capability, ability to use SQL and Excel to validate completeness, accuracy, reconciliations, and controls. Cross team coordination skills, working closely with data delivery, engineering, business SMEs ...

building cloud-native, event-driven systems from 0-1 in a collaborative DevOps environment. Required experience: Clear end-to-end ownership (discovery delivery validation) Strong product thinking (cust... WKCL1_UKTJ ...

value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated … stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership ...