1 to 25 of 31 Permanent Model Validation Jobs in the South East

level chip integration and modelling as a first‐class part of our Cryo‐CMOS development flow. In this you will build and maintain the model of the chip that the whole team simulates against, a mixed‐abstraction model combining transistor‐level circuits with Verilog‐A/Verilog … will decide which blocks are represented at which level of abstraction, keep the models faithful to the schematics and measured silicon. The full‐chip model will then be used to verify the ASICs that control the quantum processor from room temperature down to a few kelvin. You’ll play ...

Assurance/Validation Practice Leader AI Assurance/AI Validation Financial Services To 170k base + equity London An exceptional opportunity for a AI Assurance leader to join a global leader in AI Leading the AI Assurance and Validation capability across Financial Services you will build … lead the team, lead across GTM capability and drive revenue. Create value around model validation and 2nd line Defence. This is a unique career defining role where you will shape and develop the capability. Essential criteria You bring a strong technical background in model risk management, specifically ...

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 ...

script estate and bringing governance to it. That means walking into a credit risk estate nobody fully understands and producing conclusions that survive a model validation review. The person will do estate discovery, own lineage and evidence capture, bring model lifecycle discipline, industrialise data pipelines, evidence rationalisation … decisions so they survive audit, and work directly with credit risk, modelling and model risk stakeholders. Requirements Required Qualifications Strong practical SAS capability across Base SAS, macro language, PROC SQL, and Enterprise Guide, including the ability to reverse-engineer undocumented code. Working-strength Python experience, with the software engineering ...

build analytical tools, AI-assisted insight products, and intelligent automation - including prompt engineering and retrieval-augmented generation (RAG). Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders. Translate reporting and analytical findings into clear, business-ready insight for senior and executive audiences. … using tools such as Power Platform, Power Automate, or equivalent - reducing manual effort and improving data-driven workflows. Use Python and SQL to clean, model, and analyse data; deliver self-service analytics through governed semantic models and reporting layers. Lead UAT and business validation for analytics outputs ...

questions are real and the appetite for answers is genuine. What Will You Do? Lead complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns … commercial opportunity. Design rigorous experiments and measurement approaches that reveal genuine incremental impact. Set best practice in feature engineering, validation, reproducibility and model evaluation. Work with Data Engineering to productionise high-value analytical solutions. Guide model monitoring, drift management and ongoing performance. Turn sophisticated analysis into clear ...

interpret them for design decisions. Experience synthesising flight logs/telemetry/test data and using it to validate and improve analytical models (model calibration, correlation to test). Strong scripting and analysis skills in Python (or similar) for automation, data processing and building/using design tools. Working ...

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 ...

performance, and scalability strategies to support the various business capabilities. Share perspectives about best practices, common technical issues & approaches. Support high level logical data model definition and discussions to ensure feasibility with MDG. Full life cycle implementation cycle with Blueprinting, fit gap analysis, configurations, data migrations, cutovers ...

Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design and evaluate experiments to understand genuine impact. Work with Data Engineering to create reliable model inputs and productionise ...

will develop, test and operate modelling tools and assumptions powering client advice and LCP's investment technology. The role spans calibration, scenario generation, model validation and collaboration with developers to advance LCP Visualise and related tools. The ideal candidate brings strong ALM experience for pensions or institutional owners ...

investment technology. The successful candidate will work with experienced colleagues to run models, support regular assumption setting and scenario generation, and contribute to model development, calibration and validation. #J-18808-Ljbffr ...

Standard ECU, validate code via SIL/HIL/DIL or dyno, analyse data, develop software tools, and contribute to DevOps and plant-model validation. #J-18808-Ljbffr ...

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 ...

lead the development of plant models for electric propulsion systems and power electronics. You will work in a fast-growing R&T team, building model-based simulations in MATLAB/Simulink to optimise performance of e-motors, gearboxes, batteries and power electronics. You will validate models with rigorous testing ...

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 ...

between data, business capabilities, processes, applications, integrations and technology components. Develop application and technology architecture views where required to support data architecture and traceability. Model Microsoft Azure environments and services relevant to enterprise data, including data platforms, integration, storage, identity, security and networking. Assess the data and architecture implications … Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements and support their validation and traceability. Identify data, application, integration and technology dependencies, gaps, duplication, risks and inconsistencies. Assess project and solution designs against agreed enterprise architecture principles ...

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 ...

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and ...

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 ...

responsibilities Lead the development of plant models for electrical (e-motors, power electronics, batteries, etc) and mechanical (gearboxes, propellers, clutches, etc) components in a model-based simulation environment (MATLAB, Simulink, Simscape) Optimise design parameters by simulating (dynamically and statically) project requirements (flight cycles, dynamic performance, abnormal conditions, etc) Validate … designing test methods and analysing test data to correlate the simulation results statistically Support software verification activities by providing models and harnesses for Model-in-the-loop (MIL) and Hardware-in-the-loop (HIL) environments Provide technical guidance to junior engineers and contribute to the definition of best practices ...

scientists and synthetic biologists working together. We are looking for colleagues with deep expertise in genome engineering and/or quantitative phenotyping of model bacterial species such as Escherichia coli. The role requires the ability and willingness to work as part of a cross-disciplinary team at the interface … successful applicant will utilise genome engineering strategies in the lab to produce a diversity of microbial strains as the source of training and validation data in a high throughput fashion. In addition, they will also design and prototype a range of experimental measurement strategies for characterising these strains ...

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 ...