3 of 3 Contract Model Validation Jobs in Central London

Data Scientist

Hiring Organisation
DCV Technologies Limited
Location
Central London, London, United Kingdom
Employment Type
Contract
domain experts to translate business requirements into well-defined modelling tasks. Build end to end ML pipelinesfrom feature engineering and preprocessing to deployment ready model outputs. Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant. Implement model evaluation … frameworks using offline metrics, cross validation, online experiments, and human in the loop feedback loops. Communicate insights clearly through dashboards, visualisations, written summaries, and presentations tailored to technical and non-technical stakeholders. Ensure models are interpretable and explainable where required, providing transparency into key drivers and assumptions. Work with ...

AI -Senior Product Owner

Hiring Organisation
DCV Technologies Limited
Location
Central London, London, United Kingdom
Employment Type
Contract
human in the loop controls Deep understanding of banking products, processes, and customer journeys across Retail or Commercial Banking Solid knowledge of AI model lifecycle management, including data dependencies, model validation, and live service support Demonstrated capability to embed Responsible AI principles, including explainability, fairness, bias mitigation … transparency Strong working knowledge of regulatory and risk requirements (FCA, PRA, GDPR, Model Risk Management) Ability to translate regulatory, legal, and control requirements into clear product features and backlog items Experience working within Agile/SAFe delivery models, owning prioritisation and value-based roadmaps Excellent stakeholder management and influencing ...

Data Modeller

Hiring Organisation
DCV Technologies Limited
Location
Central London, London, United Kingdom
Employment Type
Contract
layers to enable consistent metrics and self-service analytics across domains. Ensure data quality by designdefine integrity rules, reference/master data relationships, and validation checks embedded in pipelines. Optimise models for performance and cost (partitioning, clustering, indexing, compression, surrogate keys, distribution strategies). Drive data integration design across … target, resolving conflicts, and handling historical changes. Support AI/ML readiness by modelling features, aggregations, and histories; collaborate on feature stores and model input/output schemas. Embed privacy and security requirements into models (PII classification, minimisation, masking, role-based access, retention, and residency). Your Profile Essential ...