301 to 325 of 558 Model Validation Jobs in England

software teams. The Team The Silicon Architecture Team sits within the CTO group. The SoC architects are responsible for the architectural specification, integration, modelling, validation and evaluation of numerous critical sub-systems, including high-speed interfaces for our upcoming AI acceleration platforms. Responsibilities and Duties Distilling product requirements and More ❯

/C++) for fluid and plasma simulations. Implement and validate advanced numerical models for fluid dynamics, heat transfer, and plasma phenomena. Perform rigorous code validation and verification against experimental data and theoretical models. Work collaboratively within our team to ensure seamless integration of code modules and workflows. Create and More ❯

/C++) for fluid and plasma simulations. Implement and validate advanced numerical models for fluid dynamics, heat transfer, and plasma phenomena. Perform rigorous code validation and verification against experimental data and theoretical models. Work collaboratively within our team to ensure seamless integration of code modules and workflows. Create and More ❯

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 … 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 More ❯

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 … 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 More ❯

to real-world challenges. This is a hands-on role where you'll contribute across the entire ML life cycle, from data preprocessing and model training to production deployment and performance tuning. If you're excited about solving complex problems with AI and thrive in a fast-paced, collaborative … environment, we'd love to hear from you. Responsibilities: Model Development: Design, develop, and deploy AI and machine learning models to solve business challenges. Data Analysis: Work with large datasets to extract insights and train machine learning models. Algorithm Implementation: Implement and optimize algorithms for AI applications, ensuring efficiency … these to ongoing projects. Collaboration: Collaborate with data scientists, software engineers, and other stakeholders to integrate AI solutions into products and services. Testing and Validation: Test and validate AI models to ensure accuracy, robustness, and reliability. Deployment: Manage the deployment of AI models in production environments, monitoring performance and More ❯

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 … 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 More ❯

every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Moody’s RMS … is the world's leading provider of mathematical models and information related to the financial impact of natural catastrophes. Our Model Development department has a multidisciplinary team of scientists and engineers, building mathematical models that predict damage caused by tropical storms, extra-tropical storms, thunderstorms, coastal floods, freshwater floods … expertise in quantifying the risks driven by inland flood. Keyaccountabilities&deliverables: Contribute to the scientific and technological development of the large scale flood hazard model components, as well as to their application: space-time stochastic rainfall model, rainfall-runoff processes, hydraulic routing modelling, high-performance models for floodplain More ❯

you will demonstrate behaviours supporting our values. You will support senior colleagues in delivering client projects efficiently, including data collection and preparation, contributing to model finalisation, writing results and implications, and SFX creation. Your role as Principal Analyst involves overseeing other analysts and supporting their development through the Training … effect of my marketing and why?”, or “Dealing with uncertainty and building in foresight.” Key responsibilities include: Working with data: Data extraction, manipulation, analysis, validation, batch files, programming Undertake data extraction, manipulation, and analysis relevant to each project. Ensure KPIs are understood and explainable to the team. Check all … Click) and the ability to teach others. Proficiency in Excel, SQL, Python, Pandas, Analytics Workbench; working towards expert knowledge in these tools. Building Models: Model building, validation, sales effects, ROIs, media optimisation Oversee or build comprehensive base models per project specs, understanding variables and coefficients. Improve and finalise More ❯

Risk Management - Model and Data Product Manager - Executive Director Risk Management - Model and Data Product Manager - Executive Director JPMorgan Chase & Co. London, United Kingdom Risk Management - Model and Data Product Manager - Executive Director Job Description Bring your expertise to JPMorgan Chase. As a Model and Data … Product Manager in Climate, Nature and Social Risk (CN&S) Data and Model Implementation team, you will play a pivotal role in shaping our bank's approach to managing and advancing our analytical frameworks to address climate-related risks. This role requires a deep understanding of various climate models … the integration of these models, data requirements and analytical work. You will have the opportunity to leverage your extensive experience in overseeing data and model development activities in a large financial institution or data solutions provider. This role will allow you to promote innovation in risk management, product development More ❯

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, inventory management, attestations and optimization. Program/Delivery Management – Create project plans and coordinate with key stakeholders. Collaborate with stakeholders to integrate advanced analytics and machine learning into risk modeling processes. Desired Qualifications and Skills: Education: Bachelor’s or master’s degree in finance, economics … 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 More ❯

Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Stay up-to-date on the most recent advances in AI and machine learning Requirements: PhD Degree in Computer More ❯

competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard More ❯

across Stress testing, Impairments, Businesses, Group Finance and Product Controls Valuations as part of BAU deliverables and regulatory requests. Maintain the ViR Framework, including model validation, documentation refresh and controls assessment. Contribute to project management aspects of ViR, such as tracking delivery, providing management updates, running governance forums More ❯

epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: Model Development: Design deep learning models integrating diverse omics data to create robust cell embeddings for digital twin technology. Multi-Omics Integration: Develop and refine More ❯

in SAP MDG modules, data governance principles, and technical architecture to guide teams and ensure successful project outcomes. Deep understanding of data models, workflows, validation rules, and integration points for master data management. Experience in configuring and customizing SAP MDG modules to meet business needs, adhering to architectural principles. More ❯

designing, developing, and implementing SAP MDG solutions. Expertise in SAP MDG modules, data governance principles, and technical architecture. Deep understanding of data models, workflows, validation rules, and integration points. Experience in configuring and customizing SAP MDG modules to meet business needs. Experience in integrating SAP MDG with other SAP More ❯

tracking. Collaborate closely with AI engineers, machine learning specialists, and autonomous systems teams to ensure data collection aligns with the specific requirements of AI model training. Perform post-flight data quality checks and initial preprocessing to ensure the datasets are ready for use in training AI models. Operate drones More ❯

modules, data governance principles, and technical architecture to guide cross-functional teams and ensure successful project outcomes. Deep insight of data models, workflows, data validation rules, and integration points to support master data management processes. Deep understanding of configuration and customization of SAP MDG modules to meet business needs More ❯

modules, data governance principles, and technical architecture to guide cross-functional teams and ensure successful project outcomes. Deep insight of data models, workflows, data validation rules, and integration points to support master data management processes. Should have deep insight of configuration and customization of SAP MDG modules to meet More ❯

prices, trade flow dynamics, margins and supply demand balances. Advanced knowledge on excel is a must. Linear Programming experience as well as process unit model development, design and costing are a plus Ability to work effectively with minimum supervision and on relatively unstructured tasks. Must be able to work More ❯

Job Description Role Summary Aubay UK is seeking an experienced Quantitative Analyst/Researcher to join our team. The ideal candidate will bring extensive expertise in energy commodities trading and quantitative modelling, paired with an advanced academic background in a More ❯

Job Description Role Summary Aubay UK is seeking an experienced Quantitative Analyst/Researcher to join our team. The ideal candidate will bring extensive expertise in energy commodities trading and quantitative modelling, paired with an advanced academic background in a More ❯

Join to apply for the Data Scientist role at Amaris Consulting 1 day ago Be among the first 25 applicants Who are we? Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than More ❯

18 hours ago Be among the first 25 applicants At Zego, we know that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't take into account how well you actually drive. That More ❯