1 to 25 of 37 Model Validation Jobs in the Thames Valley

Social network you want to login/join with: Credit Risk Model Validation Manager, Slough Location: Slough, United Kingdom Job Category: Other EU work permit required: Yes Job Details Views: 2 Posted: 31.05.2025 Expiry Date: 15.07.2025 Job Description Salary: Up to £80,000 Work Arrangement: Hybrid Location: London … About the Company I am hiring a Model Validation specialist for a top fintech based in London, managing portfolios across unsecured and secured lending. You will collaborate with industry experts to validate risk models using AI and machine learning techniques. The Role As a Model Validation … Applying analytics to enhance credit risk models and review practices Validating broader risk models, including AI, machine learning, reporting, and operational risk models Presenting validation findings to senior leadership Utilizing tools like SAS, SQL, R, and Python daily Your Skills and Experience To succeed, you should have: Strong experience More ❯

Social network you want to login/join with: This company is a unique digital lender who are seeking a Model Validation Manager to join their close-knit and supportive team. The business are well known for their innovative and fast-paced culture, with this role offering an … and ML Working with models including (but not limited to) IFRS9 models, Treasury Models, Finance models and more Driving the creation and review of validation reports, while collaborating closely with model developers and owners to ensure findings are clearly understood Managing two analysts to drive the team to … success and enhance performance of the business YOUR SKILLS AND EXPERIENCE Essential to have developed OR validated models in the consumer lending space Model exposure could be IFRS9, Fraud, Treasury or wider financial models Prior experience working with AI models is essential Coding experience in Python and SQL is More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

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 More ❯

Collaborate cross-functionally to identify and prioritize data science opportunities. Build and mentor a high-performing data science team. Establish best practices for experimentation, model validation, and deployment. Communicate complex data insights to technical and non-technical stakeholders. Stay current with trends in data science, machine learning, and More ❯

creating and curating the datasets for training and evaluating our ML planner components. You will build effective data analysis tools and work across ML model development and evaluation to achieve desired AV driving behaviours. You will also actively participate in operational support for your team, ensuring the root causes … role within your team to develop and deploy state of the art data pipelines for our machine learning models. Design and implement metrics for model validation and continuous monitoring in production. Leverage the Oxa Metadriver platform to generate synthetic data, and train effective and robust driving policies, Build More ❯

creating and curating the datasets for training and evaluating our ML planner components. You will build effective data analysis tools and work across ML model development and evaluation to achieve desired AV driving behaviours. You will also actively participate in operational support for your team, ensuring the root causes … role within your team to develop and deploy state of the art data pipelines for our machine learning models. Design and implement metrics for model validation and continuous monitoring in production. Leverage the Oxa Metadriver platform to generate synthetic data, and train effective and robust driving policies. Build More ❯

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. … 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 More ❯

drivers of KPIs, providing rationale for variables selection, understanding coefficients and contributions. Taking base models, oversee or build in additional improvements and progress the model towards finalisation Create sales effect/ROI workbook, Create response curves and optimisation charts Budget allocation. Run scenarios required to answer client objectives for More ❯

collaboration Desired Skills and Experience Time series forecasting, temporal modelling, Python, SQL, scikit-learn, Pandas, NumPy, Prophet, GCP, cloud deployment, productionising models, data pipelines, model validation, stakeholder collaboration, media data #J-18808-Ljbffr 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 ❯

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 ❯

modelling. Enjoy developing models from first principles and are unbiased in your choice of modelling techniques. Experience across some of the lifecycle of a model including requirements gathering, converting these into actionable tasks, model implementation, validation and deployment. Ability to conduct research, produce conceptual models, develop prototypes 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 ❯

of experience in data engineering area including one or more of the following: relationship databases, data warehousing, data schemas, data stores, data modeling, testing, validation and analysis Full professional proficiency in English Strong analytical and logical thinking Communication and collaboration skills Nice to have: SAS programming experience with SQL … Department Knowledgeof CDISC SDTM Experience with CluePoints RBM system Knowledge of statistical methodsand techniques for analyzing data Experienceusing Machine Learning technics andproducts testing and validation Additional Information What we offer: We value your time so the recruitment process is as quick as 3 meetings We'll prepare you to More ❯

years of experience in data engineering, including one or more of the following: relationship databases, data warehousing, data schemas, data stores, data modeling, testing, validation, and analysis Full professional proficiency in English Strong analytical and logical thinking Excellent communication and collaboration skills Nice to have: SAS programming experience with … SDTM Experience with CluePoints RBM system Knowledge of statistical methods and techniques for analyzing data Experience using Machine Learning techniques and products testing and validation Additional Information What we offer: We value your time, so the recruitment process is as quick as 3 meetings Extensive onboarding and mentorship programs More ❯

outset. Join our team to help grow this offering and be part of impactful engagements encompassing (but not limited to): D&AI Strategy & Operating Model Design : Analysing client needs and developing comprehensive data strategies aligned with business objectives, including governance and sourcing strategies as well as organisational structures that … equivalent tenure in relevant industries with a focus on data and AI initiatives. Demonstrable experience in data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives and defining optimal organisational structures for the … including data lakes, data warehouses, data mesh architectures, and associated architectural patterns. Strong understanding of methodologies and principles of data science and MLOps, including model development, validation, and lifecycle management. Experience in data pipeline design, ETL/ELT processes, and data integration approaches and appreciation of trade-offs 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 ❯

You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed … models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely More ❯

You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed … models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely More ❯

You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed … models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely More ❯