1 to 25 of 331 Model Validation Jobs in the UK excluding London

and measurable outcomes Demonstrate system-level thinking, considering architectural choices, data dependencies and integration across the wider data platform Develop and maintain production-grade ML systems including retraining strategies, model lifecycle management, monitoring and alerting Act as a trusted technical authority, reviewing and challenging project design, methodology, and outputs Drive adoption of CI/CD practices, unit testing, and … for tooling, technologies and approaches that support scalable, sustainable data science delivery Mentor and develop less experienced data scientists, fostering technical and professional growth Champion ethical AI, explainability and model governance throughout the lifecycle of our solutions Contribute to a culture of continuous learning, experimentation and data-informed decision making Skills and Qualifications: We are looking for those who … e.g. logistic regression, random forest, XGBoost, and modern deep learning techniques (e.g. transformers, transfer learning, reinforcement learning) Proven ability to lead technical direction across projects or domains Expertise in model validation, explainability, governance and ethical AI principles Advanced proficiency in Python (e.g. Scikit-learn, TensorFlow/PyTorch) and SQL, plus familiarity with ML engineering and MLOps practices Nice More ❯

actionable insights for stakeholders. Collaborate with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in retail or e-commerce sectors. Strong More ❯

solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have More ❯

PATTERN: Hybrid, 40% (or two days) in an office site. An excellent opportunity for a highly motivated candidate to join the newly established Markets & AI Modelling team within the Model Risk Office (MRO) at Lloyds Banking Group. This role offers an exciting opportunity to be part of a dynamic and evolving AI team, providing considerable scope for personal and … professional development. Our Purpose: Better Models, Better Decisions, Better Outcomes. Job Description You will join a dedicated team responsible for the independent review, analysis and validation of AI/GenAI models, empowering the Bank to embrace innovative technology while efficiently handling associated risks. In addition: Assist with independent validation and periodic reviews of AI and GenAI models, ensuring … robust, fair, explainable, and aligned with applicable regulations. Engage with a diverse array of use cases, improving your technical expertise across the LBG modelling landscape and throughout the entire model lifecycle, from development to monitoring and maintenance. Develop benchmark models and conduct quantitative analysis/recoding, predominantly using Python/GCP. Review model documentation to evaluate the soundness More ❯

PATTERN: Hybrid, 40% (or two days) in an office site. An excellent opportunity for a highly motivated candidate to join the newly established Markets & AI Modelling team within the Model Risk Office (MRO) at Lloyds Banking Group. This role offers an exciting opportunity to be part of a dynamic and evolving AI team, providing considerable scope for personal and … professional development. Our Purpose: Better Models, Better Decisions, Better Outcomes. Job Description You will join a dedicated team responsible for the independent review, analysis and validation of AI/GenAI models, empowering the Bank to embrace innovative technology while efficiently handling associated risks. In addition: Assist with independent validation and periodic reviews of AI and GenAI models, ensuring … robust, fair, explainable, and aligned with applicable regulations. Engage with a diverse array of use cases, improving your technical expertise across the LBG modelling landscape and throughout the entire model lifecycle, from development to monitoring and maintenance. Develop benchmark models and conduct quantitative analysis/recoding, predominantly using Python/GCP. Review model documentation to evaluate the soundness More ❯

PATTERN: Hybrid, 40% (or two days) in an office site. An excellent opportunity for a highly motivated candidate to join the newly established Markets & AI Modelling team within the Model Risk Office (MRO) at Lloyds Banking Group. This role offers an exciting opportunity to be part of a dynamic and evolving AI team, providing considerable scope for personal and … professional development. Our Purpose: Better Models, Better Decisions, Better Outcomes. Job Description You will join a dedicated team responsible for the independent review, analysis and validation of AI/GenAI models, empowering the Bank to embrace innovative technology while efficiently handling associated risks. In addition: Assist with independent validation and periodic reviews of AI and GenAI models, ensuring … robust, fair, explainable, and aligned with applicable regulations. Engage with a diverse array of use cases, improving your technical expertise across the LBG modelling landscape and throughout the entire model lifecycle, from development to monitoring and maintenance. Develop benchmark models and conduct quantitative analysis/recoding, predominantly using Python/GCP. Review model documentation to evaluate the soundness More ❯

PATTERN: Hybrid, 40% (or two days) in an office site. An excellent opportunity for a highly motivated candidate to join the newly established Markets & AI Modelling team within the Model Risk Office (MRO) at Lloyds Banking Group. This role offers an exciting opportunity to be part of a dynamic and evolving AI team, providing considerable scope for personal and … professional development. Our Purpose: Better Models, Better Decisions, Better Outcomes. Job Description You will join a dedicated team responsible for the independent review, analysis and validation of AI/GenAI models, empowering the Bank to embrace innovative technology while efficiently handling associated risks. In addition: Assist with independent validation and periodic reviews of AI and GenAI models, ensuring … robust, fair, explainable, and aligned with applicable regulations. Engage with a diverse array of use cases, improving your technical expertise across the LBG modelling landscape and throughout the entire model lifecycle, from development to monitoring and maintenance. Develop benchmark models and conduct quantitative analysis/recoding, predominantly using Python/GCP. Review model documentation to evaluate the soundness More ❯

PATTERN: Hybrid, 40% (or two days) in an office site. An excellent opportunity for a highly motivated candidate to join the newly established Markets & AI Modelling team within the Model Risk Office (MRO) at Lloyds Banking Group. This role offers an exciting opportunity to be part of a dynamic and evolving AI team, providing considerable scope for personal and … professional development. Our Purpose: Better Models, Better Decisions, Better Outcomes. Job Description You will join a dedicated team responsible for the independent review, analysis and validation of AI/GenAI models, empowering the Bank to embrace innovative technology while efficiently handling associated risks. In addition: Assist with independent validation and periodic reviews of AI and GenAI models, ensuring … robust, fair, explainable, and aligned with applicable regulations. Engage with a diverse array of use cases, improving your technical expertise across the LBG modelling landscape and throughout the entire model lifecycle, from development to monitoring and maintenance. Develop benchmark models and conduct quantitative analysis/recoding, predominantly using Python/GCP. Review model documentation to evaluate the soundness More ❯

analysis to assess and predict financial risks including input into regulatory processes/reporting. Provide regular reports and insights to senior leadership, highlighting emerging risks and their potential impact. Model Risk Management (including statistical, advanced AI/ML based techniques) - Formulation of guidelines/policy, laying down of roadmap, establishment of model risk governance including frameworks, validation … GAAP) and regulatory requirements (e.g., Basel III, IFRS 9). Statistical Techniques: Linear & Logistic Regression, Hypothesis Testing, Exploratory Data Analysis, Survival Analysis, Cluster Analysis, various Statistical Tests and Cross-Validation Techniques, ML Algorithms. Proficiency in programming languages like Python, R, or MATLAB for quantitative modeling. Soft Skills: Strong analytical and problem-solving skills with attention to detail. Ability to More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical … a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical … a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical … a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical … a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right More ❯

learning, and data science, particularly in the LLM field, and share knowledge with the team. Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model validation, and comprehensive performance evaluation. Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration. Qualifications Master's degree in Computer Science, Artificial Intelligence More ❯

organizations, and other enabling functions. To be successful, the ideal candidate will demonstrate a thirst for knowledge and a natural curiosity to enable rapid learning of the Zoetis business model and data & analytics infrastructure at a scale to support a growing business. The position requires a candidate who is comfortable translating and connecting the business context to the technical … and trends within datasets. Translate insights to actionable recommendations aligned with business objectives. Design business intelligence and analytics tools to track business performance across marketing, sales, and retail organizations. Model Development and Optimization Build advanced analytics to extract key strategic insights (product, customer, etc..) to inform key strategic decisions. Build, test and validate predictive models to support business needs. … Implement and maintain machine learning models in production environment. Monitor model performance and refine algorithms to ensure accuracy and relevance. Partner with Data Governance to implement data governance framework to improve data quality, better decision-making and increased operational efficiency. Stakeholder Engagement Collaborate with senior leaders to identify opportunities for business growth and assist in implementing data-driven strategies More ❯

Join us as a Model Risk Validation Officer In this key role, you’ll undertake the validation of market risk models used for capital calculations and risk management, ensuring that models are managed within the requirements of the bank’s model risk policy and risk appetite You’ll ensure model limitations are identified, communicated to … stakeholders and effectively mitigated We’ll look to you to help develop, maintain and implement proportionate mandatory procedures for model validation activity You’ll gain great exposure for you and your work, with the opportunity to develop key relationships with colleagues across Risk and NatWest Markets What you'll do As a Model Risk Validation Officer … your main role will be the validation and review of models used within NatWest Markets to help ensure the bank’s models are managed within policy and appetite. By conducting thorough quantitative analysis, you’ll assess their performance and robustness. You’ll prepare comprehensive validation reports and documentation, supporting the delivery of bank wide policy and mandatory procedures More ❯

security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world? We are seeking a highly skilled and results-driven Data Scientist - Validation to join our team, primarily focusing on validating AI/ML models for grid innovation applications. This role will involve rigorous testing, validation, and verification of AI/… environments. Job Description Essential Responsibilities: Design and conduct experiments to test and validate AI/ML models in the context of energy systems and grid automation applications. Establish clear validation frameworks to ensure models meet required performance standards and business objectives. Establish test procedures to validate models with real and simulated grid data. Analyze model performance against real … world data to ensure accuracy, reliability, and scalability. Identify and address discrepancies between expected and actual model behavior, providing actionable insights to improve model performance. Implement automated testing strategies and pipeline to streamline model validation processes. Collaborate with Data Engineers and ML Engineers to improve data quality, enhance model performance, and ensure efficient deployment of More ❯

risk functions. Deliver scalable and efficient analytics infrastructure using C++ and Python , aligned with front-office requirements. Work closely with trading, structuring, and risk teams to provide high-performance model-driven tools and analytics. Contribute to the ongoing enhancement and modernization of the quantitative library and risk analytics platform. Ensure full documentation of models in accordance with internal governance … and regulatory expectations. Engage with model validation and risk control teams throughout the model approval and lifecycle management process. Provide analytical support and ensure robustness of models in production environments. Required Qualifications & Experience: Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Financial Engineering, or Computer Science. Demonstrated experience in a front-office … quantitative analytics or quant development role within a financial institution. Strong understanding of derivative pricing theory and volatility modelling techniques. Proficiency in C++ and Python for model development and numerical computation. Familiarity with structured software development practices, including version control, testing, and continuous integration. Excellent problem-solving skills, a high level of attention to detail, and strong written and More ❯

risk functions. Deliver scalable and efficient analytics infrastructure using C++ and Python , aligned with front-office requirements. Work closely with trading, structuring, and risk teams to provide high-performance model-driven tools and analytics. Contribute to the ongoing enhancement and modernization of the quantitative library and risk analytics platform. Ensure full documentation of models in accordance with internal governance … and regulatory expectations. Engage with model validation and risk control teams throughout the model approval and lifecycle management process. Provide analytical support and ensure robustness of models in production environments. Required Qualifications & Experience: Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Financial Engineering, or Computer Science. Demonstrated experience in a front-office … quantitative analytics or quant development role within a financial institution. Strong understanding of derivative pricing theory and volatility modelling techniques. Proficiency in C++ and Python for model development and numerical computation. Familiarity with structured software development practices, including version control, testing, and continuous integration. Excellent problem-solving skills, a high level of attention to detail, and strong written and More ❯

risk functions. Deliver scalable and efficient analytics infrastructure using C++ and Python , aligned with front-office requirements. Work closely with trading, structuring, and risk teams to provide high-performance model-driven tools and analytics. Contribute to the ongoing enhancement and modernization of the quantitative library and risk analytics platform. Ensure full documentation of models in accordance with internal governance … and regulatory expectations. Engage with model validation and risk control teams throughout the model approval and lifecycle management process. Provide analytical support and ensure robustness of models in production environments. Required Qualifications & Experience: Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Financial Engineering, or Computer Science. Demonstrated experience in a front-office … quantitative analytics or quant development role within a financial institution. Strong understanding of derivative pricing theory and volatility modelling techniques. Proficiency in C++ and Python for model development and numerical computation. Familiarity with structured software development practices, including version control, testing, and continuous integration. Excellent problem-solving skills, a high level of attention to detail, and strong written and More ❯

drive strategic marketing decisions—optimizing media budgets, forecasting business performance, and supporting commercial objectives through rigorous analytical frameworks. Key Responsibilities Lead the full econometric modelling lifecycle: data extraction, transformation, model building, validation, and business interpretation. Build and refine Marketing Mix Models (MMM) with robust statistical foundations and clear KPI linkages. Generate actionable outputs such as ROI analyses, response … curves, and optimization tools. Perform scenario simulations for budget allocation, marketing strategy, and planning. Conduct model diagnostics, ensure methodological robustness, and continuously improve model accuracy. Required Skills & Experience Demonstrable experience in Marketing Mix Modelling (MMM) and econometrics, ideally within FMCG or related sectors. Strong command of Python and pandas; working knowledge of R is also a plus. Proficient More ❯

drive strategic marketing decisions—optimizing media budgets, forecasting business performance, and supporting commercial objectives through rigorous analytical frameworks. Key Responsibilities Lead the full econometric modelling lifecycle: data extraction, transformation, model building, validation, and business interpretation. Build and refine Marketing Mix Models (MMM) with robust statistical foundations and clear KPI linkages. Generate actionable outputs such as ROI analyses, response … curves, and optimization tools. Perform scenario simulations for budget allocation, marketing strategy, and planning. Conduct model diagnostics, ensure methodological robustness, and continuously improve model accuracy. Required Skills & Experience Demonstrable experience in Marketing Mix Modelling (MMM) and econometrics, ideally within FMCG or related sectors. Strong command of Python and pandas; working knowledge of R is also a plus. Proficient More ❯

analysis to assess and predict financial risks including input into regulatory processes/reporting. Provide regular reports and insights to senior leadership, highlighting emerging risks and their potential impact. Model Risk Management - Formulation of guidelines/policy, laying down of roadmap, establishment of model risk governance including frameworks, validation, inventory management, attestations and optimization. Program/Delivery … GAAP) and regulatory requirements (e.g., Basel III, IFRS 9). Statistical Techniques: Linear & Logistic Regression, Hypothesis Testing, Exploratory Data Analysis, Survival Analysis, Cluster Analysis, various Statistical Tests and Cross-Validation Techniques, ML Algorithms. Proficiency in programming languages like Python, R, or MATLAB for quantitative modeling. Soft Skills: Strong analytical and problem-solving skills with attention to detail. Ability to More ❯

drive strategic marketing decisions—optimizing media budgets, forecasting business performance, and supporting commercial objectives through rigorous analytical frameworks. Key Responsibilities Lead the full econometric modelling lifecycle: data extraction, transformation, model building, validation, and business interpretation. Build and refine Marketing Mix Models (MMM) with robust statistical foundations and clear KPI linkages. Generate actionable outputs such as ROI analyses, response … curves, and optimization tools. Perform scenario simulations for budget allocation, marketing strategy, and planning. Conduct model diagnostics, ensure methodological robustness, and continuously improve model accuracy. Required Skills & Experience Demonstrable experience in Marketing Mix Modelling (MMM) and econometrics, ideally within FMCG or related sectors. Strong command of Python and pandas; working knowledge of R is also a plus. Proficient More ❯

drive strategic marketing decisions—optimizing media budgets, forecasting business performance, and supporting commercial objectives through rigorous analytical frameworks. Key Responsibilities Lead the full econometric modelling lifecycle: data extraction, transformation, model building, validation, and business interpretation. Build and refine Marketing Mix Models (MMM) with robust statistical foundations and clear KPI linkages. Generate actionable outputs such as ROI analyses, response … curves, and optimization tools. Perform scenario simulations for budget allocation, marketing strategy, and planning. Conduct model diagnostics, ensure methodological robustness, and continuously improve model accuracy. Required Skills & Experience Demonstrable experience in Marketing Mix Modelling (MMM) and econometrics, ideally within FMCG or related sectors. Strong command of Python and pandas; working knowledge of R is also a plus. Proficient More ❯