9 of 9 Remote/Hybrid Model Validation Jobs in the South East

solutions that the team delivers Present findings and recommendations to technical and non-technical audiences. Acquire domain knowledge to inform modelling opportunities and model feature creation Qualifications Education: Bachelor’s degree in data science, Statistics, Mathematics, or a related field. Experience: Experience designing experiments or modelling approaches to solve ...

models support scalability and long-term strategy Working closely with Data Engineers to validate models against ingestion pipelines and sample data Providing high-quality model documentation to support downstream development and analytics Maintaining data modelling standards and best practices across squads Applying change management principles to ensure consistency … traceability of model changes Supporting governance and metadata management using recognised data modelling tools Capturing and maintaining domain knowledge and model documentation Engaging with architects, SMEs, governance and compliance teams as needed Managing and contributing to modelling work within the squads agile backlog Actively participating in agile ceremonies ...

Location: VHQ, Crawley. With 3 days on site in line with our hybrid working model Contract Type: Permanent Hours: 37.5 per week, Monday to Friday Closing Date: Tuesday, 29th September 2026 In a nutshell Are you a data scientist who turns models into measurable business impact? At Virgin Atlantic … integrated with CI/CD workflows, ensuring models are reproducible, version-controlled, and continuously deployed with confidence. Implement monitoring and retraining frameworks to maintain model performance and governance over time. Contribute to our internal ML frameworks and tooling, streamlining how we experiment, validate, and deploy models at scale. Partner ...

successful candidate will work with experienced colleagues to run models, test outputs, support regular assumption setting and scenario generation processes, and contribute to model development. What will you be doing? The successful candidate should be able to undertake, or be keen to develop capability in, most of the following … Lead or manage asset-liability modelling work for client projects, including model runs, analysis, output review and communication of results, this may include direct client-facing presentations Develop, maintain and improve asset modelling tools for monitoring, portfolio analysis, strategic investment modelling and client reporting Calibrate the Economic Scenario Generator ...

internal data science capability. This newly created leadership role will oversee the transfer of technical knowledge and ownership from a specialist external partner, strengthen model management and governance, and develop the internal team as the function grows. Combining deep technical expertise with strategic leadership, you will shape the organisation … evidence of progress and value to strategic and due diligence discussions. Key Responsibilities Take end-to-end ownership of four predictive models, covering development, validation, deployment, monitoring, documentation and optimisation. Remain technically hands‐on, working directly with data, code and modelling tools to resolve issues and improve model ...

Design reusable development frameworks and components, ensuring high standards across code quality, performance, testing and maintainability . Implement complex Salesforce configuration, automation, workflows, approvals, validation rules and security controls . Agentforce, AI & Data Cloud Design and develop Salesforce Agentforce and Agentic AI solutions , integrating AI-enabled capabilities into enterprise … solutions , with an understanding of how AI capabilities integrate into enterprise Salesforce processes. Strong knowledge of Salesforce architecture, administration, configuration, security models, workflow automation, validation rules and data management . Experience designing and supporting enterprise integrations using REST/SOAP APIs , alongside strong knowledge of Salesforce integration and application ...

Senior Decision Scientist to lead the development of cutting-edge credit decisioning models across SME lending. You'll own the end-to-end model lifecycle, from problem framing through to deployment and monitoring, while working at the intersection of data and risk, to shape the future of our lending … What You'll Do as Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring frameworks and performance dashboards Drive innovation through new data sources, challenger ...

Infinity Two stellarator power plant and future commercial systems. Responsibilities Develop and execute a comprehensive roadmap for MOOSE‐based modelling, including physics capability development, validation strategy, and integration with the broader design toolchain. Lead the development of tightly coupled multiphysics models (thermal, structural, tritium transport, radiation, electromagnetics, and materials … behaviour) to support fusion energy system design. Establish best practices for software quality assurance, model development, verification & validation (V&V), configuration control, and reproducibility. Collaborate with cross‐functional teams (plasma physics, neutronics, mechanical, thermofluid, materials, systems engineering) to ensure consistent and integrated modelling approaches. Develop workflows to couple ...

developing, testing and operating modelling tools and assumptions to support client advice and investment technology. Successful candidates will work with experienced colleagues on model runs, validation, assumption setting and scenario generation, contributing to model development and client reporting. #J-18808-Ljbffr ...