251 to 275 of 552 Model Validation Jobs in England

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 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 ❯

and applications in a cloud-first environment. Skilled in engineering ways of working such as CI/CD, release lifecycle, observability, testing, and continuous model validation with a tangible track record of instituting change. Programming experience - ideally in Python or open to using Python. Familiarity with all, and More ❯

of interest rate risk from spreadsheets to an Asset & liability Management (ALM) system. Reviewing strategic initiatives and considering the impact on market risk. Undertaking model validation on key interest rate risk models used for interest rate risk reporting. Undertaking assurance reviews, including on the appropriateness of risk controls More ❯

of interest rate risk from spreadsheets to an Asset & liability Management (ALM) system. Reviewing strategic initiatives and considering the impact on market risk. Undertaking model validation on key interest rate risk models used for interest rate risk reporting. Undertaking assurance reviews, including on the appropriateness of risk controls More ❯

The Data Modeller is responsible for designing and maintaining high quality conceptual, logical, and physical data model, to enable Greene King to exploit its data. They will ensure data models align with business requirements and industry standards, support data governance, lineage, and master data management initiatives Scope & Key Interfaces More ❯

FX, commodities, crypto, and derivatives. Write high-performance, clean, and optimized C++ code for distributed systems. Leverage Python and SQL to analyze and validate model inputs. Document methodologies to meet internal and external compliance standards. Who We’re Looking For Education & Experience : M.S. or Ph.D. in Mathematics, Physical Sciences More ❯

utilised across all of TradingHub's product offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub's proprietary mathematical/statistical models Use of in-house big data language for the large-scale pricing and analysis of security More ❯

of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. In terms of other activities you'll do in the role: You'll be a leader within a cross … 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 ❯

of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. In terms of other activities you'll do in the role: You'll be a leader within a cross … 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 ❯

new features, and coding from scratch, as off-the-shelf solutions often are not fit-for-purpose at this scale and complexity. Exposure to model deployment and software development will be sufficient, supported by our engineering team. We seek a great team player passionate about applying Data Science techniques … related Data Science components for the product. Design and contribute to the end-to-end machine learning pipeline, from data collection and reprocessing to model training, simulation, evaluation, deployment, and testing. Implement and interpret explainability frameworks to ensure transparency and compliance with WPP standards. Collaborate with stakeholders to identify … business needs and translate these into scalable, impactful technical solutions. Conduct rigorous model testing and validation for robustness and accuracy. Prepare detailed documentation and reports to communicate complex model behaviors, predictions, and insights to both technical and non-technical audiences. Stay updated on academic research and industry More ❯

strong analytical mindset and prefer working behind the scenes with data. Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director). Creating clear … Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS). Experience with model validation, diagnostics, and performance metrics. Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression … saturation, and interaction effects. The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision. If this sounds like you then please apply More ❯

and technology advisory for leading institutions across capital markets. The firm partners with clients to design and implement high-impact solutions in electronic trading, model development, and risk management. Leveraging deep domain expertise and cutting-edge technologies, it delivers tailored strategies that enhance performance, reduce complexity, and support regulatory … tasked with designing and delivering quantitative trading and risk solutions for clients in global interest rate markets. This role involves leading engagements focused on model development, system architecture, and algorithmic design for pricing and electronic trading. Through deep collaboration with client stakeholders, the consultant will drive impactful outcomes by … insights for both technical and non-technical stakeholders. Support project scoping, planning, and prioritization in alignment with client objectives. Assist clients in enhancing their model governance frameworks through technical review and effective challenge. Advise on best practices in model development, validation, and documentation across trading and risk More ❯

betruly, technically competent, to be able to quickly learn a complex system, customise source code, add in new features and code from scratch. Whilst model deployment/software developmentexperience isvery,highly desirable,we do have a team of engineers to support so exposurein thisspacewill be sufficient. Culture-wise,we … Responsibilities: Further improveexisting algorithms and develop net new DS features Design andcontribute tothe end-to-end machine learning pipeline from data collection, reprocessing to model training,simulation,evaluation, deploymentand experimentation/testing Implement and interpret explainability frameworks to provide clear insights into model decisions, ensuring transparency and compliance … withWPPstandards Collaborate with stakeholders to identify business needs and translate these requirements into technical solutions that are scalable and impactful Conduct rigorous model testing and validation to ensure robustness and accuracy Prepare detailed documentation and reports that communicate complex model behaviours, predictions, and insights in a manner More ❯

heterogeneity of operating room environments. With customers all over the world operating rooms are often different which creates unique opportunities for problem solving and model design. Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance. Development … within Proximie environment to enable dynamic model training and performance evaluation while integrating with Proximie’s data lakes. Document solutions and contribute to internal knowledge sharing and capability building. Requirements PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered More ❯

Fantastic site facilities including subsidised meals, free car parking and much more... The opportunity: In this role, we focus on the development, integration, and validation of dynamic numerical models, primarily using MATLAB and Simulink. We work with both the weapon effectors and the wider system components, in order to … 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, and all of our engineers … participate in this through model reviews, contributing to documentation, and robust configuration management of models. As a technical leader in the team, this role extends to collaboration with cross-functional teams as representative of the modelling team, and presenting technical solutions for system integration and performance assessment activities. What More ❯

experience with classical ML and modern techniques, including deep learning , transformers , diffusion models , and ensemble methods . Solid understanding of feature engineering, dimensionality reduction, model construction, validation, and calibration. Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database More ❯

or other algorithmic solutions Process structured and unstructured data for generative AI use cases Collaborate with engineering and product development teams Following experimentation and model selection and validation, implement the solution using production-ready Python code Contribute to the full software development lifecycle, including requirements gathering, design, development … testing, deployment, and maintenance of machine learning solutions Monitor model performance post-deployment and iterate based on feedback Communicate with, and present results to, colleagues and stakeholders Present information using data visualization techniques Qualifications/Requirements: A master’s degree (or equivalent) in a numerate discipline such as Statistics More ❯

or other algorithmic solutions Process structured and unstructured data for generative AI use cases Collaborate with engineering and product development teams Following experimentation and model selection and validation, implement the solution using production-ready Python code Contribute to the full software development lifecycle, including requirements gathering, design, development … testing, deployment, and maintenance of machine learning solutions Monitor model performance post-deployment and iterate based on feedback Communicate with, and present results to, colleagues and stakeholders Present information using data visualization techniques Qualifications/Requirements A master’s degree (or equivalent) in a numerate discipline such as Statistics More ❯

modelling insights, supporting underwriting decisions, and contributing to both live and post-event aggregation reporting. You'll also assist with regulatory work such as model validation and capital modelling. The ideal candidate has: -3-5 years' relevant experience - aggregation and modelling tools skills - Proficiency in coding languages like More ❯

mechanical systems, working constructively within a multidisciplinary team, collaborating with engineering and business teams, and presenting findings internally and externally. Essential Responsibilities and Duties: Model complex mechanical systems dynamics. Review and report on industry modelling approaches. Collaborate with experimentalists to validate models and match them to data. Engage with More ❯

learning at Flatiron. Engaging with a cross-functional group of stakeholders across our teams in Europe, Japan, and the US you will contribute to model development projects from scoping through to productionization and delivery. In addition, you'll also: Interface with internal scientific stakeholders and customers to understand what More ❯

/invent new techniques. You're a self-motived creative thinker who works collaboratively and is ready to produce results. You can produce rigorous, model-based analyses and can explain the results to both technical and non-technical audiences. You possess superb communications skills with the ability to work More ❯

applications for use in data pipelines and products. Create training data sets and procedures to train and validate models. Collaborate with Engineering teams on model serving, ensuring models can be integrated with our data products. Monitor and maintain system health and security, investigating and resolving issues. Help to configure More ❯

with third parties. Ability to help the business to link process efficiency indicators to data cleansing and quality and governance Define data models, workflows, validation rules, and integration points to optimize master data management processes. Establish technical strategies, standards, and best practices for SAP MDG implementations. SAP MDG and More ❯