26 to 50 of 103 Model Validation Jobs in England

pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques … user-centric data products Stay curious, research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and More ❯

servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner. Campaign Optimisation: Provide data-driven … insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background More ❯

servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner. Campaign Optimisation: Provide data-driven … insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background More ❯

positions, systems, models, data inputs and pricing sources to ensure completeness, accuracy and validity of prices and margins. With Market Risk, research various instruments and margining methodologies and risk model parameters. Analyse and provide recommendations to improve the processes and procedures for ensuring accurate, daily mark-to-market of customer and company positions. Contribute to testing, maintenance, and implementation … of new risk models and systems. Carry out periodic and ad-hoc risk analytics on clients, trading books, and products to inform risk-management decisions Participate in risk model validation reviews with other risk, back-office and front-office personnel or groups. Participate in new product/system reviews and represent the Risk Valuation group point of view. More ❯

in the team due to continued success. THE ROLE Lead the end-to-end development of IRB models across a range of clients Assist the wider team with broader model projects including application and behavioural scorecards Work closely with the model validation team to enhance model performance Manage a small team of analysts to drive the More ❯

in the team due to continued success. THE ROLE Lead the end-to-end development of IRB models across a range of clients Assist the wider team with broader model projects including application and behavioural scorecards Work closely with the model validation team to enhance model performance Manage a small team of analysts to drive the More ❯

in the team due to continued success. THE ROLE Lead the end-to-end development of IRB models across a range of clients Assist the wider team with broader model projects including application and behavioural scorecards Work closely with the model validation team to enhance model performance Manage a small team of analysts to drive the More ❯

the business whilst leading a small team. THE ROLE Lead the end-to-end development of IFRS9 models across a range of products Assist the wider team with broader model projects including application and behavioural scorecards Work closely with the model validation team to enhance model performance Manage a small team of analysts to drive the More ❯

train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and emerging frameworks to keep … train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and emerging frameworks to keep … ML team as we scale beyond our seed round. Key Responsibilities Architecture & Hands-On Development Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud/on-prem environments (AWS More ❯

drive business outcomes. Key responsibilities include: Designing and building data processing and streaming systems Leading initiatives on data storage, optimisation, and database management Applying statistical methods, hypothesis testing, and model validation Developing and evaluating AI/ML models to deliver actionable insights Collaborating with engineering teams to maintain data quality and scalability Communicating technical concepts effectively to non More ❯

drive business outcomes. Key responsibilities include: Designing and building data processing and streaming systems Leading initiatives on data storage, optimisation, and database management Applying statistical methods, hypothesis testing, and model validation Developing and evaluating AI/ML models to deliver actionable insights Collaborating with engineering teams to maintain data quality and scalability Communicating technical concepts effectively to non More ❯

This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities Develop loss More ❯

This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities Develop loss More ❯

Leader Heads of Departments Tech Leadership Payment and Collections Teams Customer Operations Teams Compliance, Risk & Regs Teams Product & Operations Teams What you'll be getting up to: Data Collection & Validation • Extract payment and collections data from various systems (e.g. CRM, billing platforms) on a daily, weekly, and monthly basis. • Ensure data integrity by performing routine validations, reconciliations, and checks. …/quarterly reports for senior leadership, including trend analyses, month-over-month comparisons, and variance explanations. • Support strategic initiatives and Lead or participate in special projects- providing data analysis, model validation, and performance tracking. • Conduct "deep dives" into specific issues and coordinate cross-departmental follow-up actions. KPI Monitoring & Analysis • Help define, monitor, and report on key performance More ❯

and optimisation framework, conducting reviews of client's processes and procedures, support regulatory or audit reviews, advising on TM technology, optimisation, and remediation programmes Define and lead on TM model optimisation, industry monitoring typology risk assessment methodology and overall control framework in building an effective Transaction Monitoring programme Leading and developing strong relationships with project stakeholders Supporting with planning … defining change governance, project management and business analyst background. Must demonstrate strong capability to define and articulate approach Technical Skills: (Must have) Hands-on experience in defining and leading model validation and system tuning from inception to completion Hands-on understanding on minimum of one TM systems across rule designs, segment designs, technical design and processes (e.g NICE More ❯

optimize high-fidelity physical models. Lead the implementation of co-simulation strategies, integrating multiple simulation tools to conduct holistic system-level analyses. Automate and optimise simulation workflows to accelerate model development and integration with parametric CAD models, and streamline the design process. Leverage both on-premise high-performance computing (HPC) and cloud computing resources to enhance simulation efficiency, ensuring … or Java is highly desirable, especially for scripting and workflow automation. Experience in data science and machine learning approaches and modelling with integration to Scientific Machine Learning. Expertise in model validation and correlating simulation data with real-world experimental results. Strong problem-solving skills with the ability to identify issues, analyse root causes, and implement effective solutions. Passion More ❯

optimize high-fidelity physical models. Lead the implementation of co-simulation strategies, integrating multiple simulation tools to conduct holistic system-level analyses. Automate and optimise simulation workflows to accelerate model development and integration with parametric CAD models, and streamline the design process. Leverage both on-premise high-performance computing (HPC) and cloud computing resources to enhance simulation efficiency, ensuring … or Java is highly desirable, especially for scripting and workflow automation. Experience in data science and machine learning approaches and modelling with integration to Scientific Machine Learning. Expertise in model validation and correlating simulation data with real-world experimental results. Strong problem-solving skills with the ability to identify issues, analyse root causes, and implement effective solutions. Passion More ❯

paced, cross-functional teams to deliver data-driven solutions iterative * Familiarity with SQL and experience in working with relational databases. * Knowledge of data pre-processing techniques, feature engineering, and model evaluation metrics. This is an excellent opportunity on a great project of work, If you are looking for your next exciting opportunity, apply now for your CV to reach More ❯

engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies to validate and improve model predictions. Stay informed about the latest advancements in machine learning and computational biology, and apply them to real-world challenges. Share research findings through presentations, publications, and technical discussions. More ❯

the global/mandate processes are secured. Support Operations in complex and high-impact issues and problems as they arise. Accountable for process and technical knowledge gathering, update and validation of products and services under Reporting and Analytics tower, including documentation/knowledge from external teams that will touch those services and products. Support product managers on lifecycle management More ❯

the global/mandate processes are secured * Support Operations in complex and high impact issues and problems as they arise. * Accountable for process and technical knowledge gathering, update and validation of products and services under Reporting and Analytics tower, including documentation/knowledge from external teams that will touch those services and products * Support product managers on lifecycle management More ❯

the global/mandate processes are secured * Support Operations in complex and high impact issues and problems as they arise. * Accountable for process and technical knowledge gathering, update and validation of products and services under Reporting and Analytics tower, including documentation/knowledge from external teams that will touch those services and products * Support product managers on lifecycle management More ❯

ve got up your sleeve It would be great if you also have some of the following skills: Experience with Data Build Tool (DBT) including building data models, tests, validation, and transformations. In-depth knowledge of sports betting markets, including odds calculation, betting types and market trends Previous experience in the online gaming or casino industry, with a strong More ❯

as a Simulation & Modelling Engineer with a world class technical engineering company based in Bristol. The opportunity: The Principal Simulation & Modelling Engineer will focus on the development, integration, and validation of dynamic numerical models, primarily using MATLAB and Simulink. Working with all elements of a system right down to wider system component level, the Principal Simulation & Modelling Engineer will … lifecycle. Automation is a key part of our testing process, and we are hands on in putting continuous integration and verification processes in place, in conjunction with performing detailed model validation against experimental or field trial data. Ensuring quality standards are upheld is also important in our work, so all Simulation & Modelling Engineers participate in this through model … Simulink, or other programming languagesfor system modelling and simulation. Knowledge of coding standards and peer review of coding changes Strong understanding of dynamic systems and numerical modelling. Familiarity with model-based design methodologies, the software development cycle, and systems engineering processes. Knowledge of scripting and automation (MATLAB scripts, Gitlab, Jenkins, or similar). Excellent problem-solving, analytical, and communication More ❯

models in areas such as Automated Valuation Models (AVMs) and propensity modelling. You will take full ownership of the end-to-end data science lifecycle-from problem scoping to model deployment-while also setting technical standards, shaping strategy, and managing a team of three skilled data scientists. Key Responsibilities Manage a team of 3 data scientists, fostering a high … Set the vision and strategy for data science within the business, championing best practices and innovation Communicate complex technical concepts to both technical and non-technical stakeholders Guide experimentation, model validation, and continuous performance monitoring Contribute to long-term planning for the company's data science roadmap Tech Environment Strong emphasis on Python and cloud-based data science … tooling Experience with model deployment in production is essential Understanding of real estate or consumer behaviour data is a bonus, but not required About You Proven experience leading small data science teams in a commercial setting Strong expertise in machine learning, particularly with propensity modelling/AVM's Deep experience with end-to-end model development and deployment More ❯