26 to 50 of 194 Model Validation Jobs in England

the solutions that the team delivers -Present findings and recommendations to technical and non-technical audiences. -Acquire domain knowledge to inform modelling opportunities and model feature creation Technical Leadership: -Mentor junior data scientists and provide peer reviews for modelling projects. -Stay current with industry trends, tools, and best practices More ❯

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 the More ❯

statistics, science or equivalent. BSc in Geography/Environmental and/or Risk. Catastrophe modelling experience with vendor models (RMS, Verisk, JBA). Catastrophe Model Validation and Evaluation experience. Skills: Strong analytical, problem-solving, and critical-thinking skills complemented by a solid grounding working with and interpreting statistics. More ❯

technology teams to integrate models into 360T's trading suite Continually monitor and refine existing models to adapt to changing market conditions Ensure robust model validation, back-testing and documentation of methodologies Participate in original research topics using 360T's unique datasets Prepare periodic updates & actionable insights for More ❯

methods to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll also have the opportunity to present results to both internal teams and clients. What you'll be working on Developing innovative … class Price & Promotions capabilities Supporting our high-performing Price & Promotions experts by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field More ❯

methods to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll also have the opportunity to present results to both internal teams and clients. What you'll be working on Developing innovative … class Price & Promotions capabilities Supporting our high-performing Price & Promotions experts by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field More ❯

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 (eg, A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in the More ❯

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 the More ❯

doing? • Advising clients on the impact of changing requirements in provision accounting standards (IFRS9) and Basel credit risk capital requirements (IRB). This will model review and validation activities such as: • Technical model development documentation review; • Assessment of model performance • Replication testing; and • Reviewing models’ against … accounting and risk requirements as related to IRB, IFRS9, and other regulatory credit risk models • Detailed working knowledge and experience of all aspects of model development and validation including the following: • Data extraction and pre-processing • Modular model development • User acceptance testing • Model performance assessments • Relevant More ❯

doing? • Advising clients on the impact of changing requirements in provision accounting standards (IFRS9) and Basel credit risk capital requirements (IRB). This will model review and validation activities such as: • Technical model development documentation review; • Assessment of model performance • Replication testing; and • Reviewing models’ against … accounting and risk requirements as related to IRB, IFRS9, and other regulatory credit risk models • Detailed working knowledge and experience of all aspects of model development and validation including the following: • Data extraction and pre-processing • Modular model development • User acceptance testing • Model performance assessments • Relevant More ❯

ability to accurately determine cause and effect relations. Apply Statistical and Machine Learning methods to specific business problems. Partner with Machine Learning team in Model Building w.r.t. variable definition, model validation and creation of a targeting strategy. Own the design, development, and maintenance of ongoing metrics, reports More ❯

initial 6 month contract + opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities More ❯

initial 6 month contract + opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities More ❯

techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. What we expect from you Master's degree or More ❯

techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and algorithms to create More ❯

techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and algorithms to create More ❯

Scientist - Customer Lifetime Value Hybrid in London/Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in our CLtV … team, you will be developing this model so that it represents and codifies our best and most current understanding about the true lifetime value of our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the … central to our business, influencing decisions across every department. The CLtV team is a small and versatile group of people who manage the CLtV model from the R&D stage all the way to deploying model releases into production. We manage data pipelines that enable the business to More ❯

techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. This is an initial 6 month contract. Job Responsibilities More ❯

traditional DAM infrastructure, designing models and conducting simulations and analysis of systems and components, and defining the specification of test plans to validate the model and performance. Responsibilities will include: Campaign planning and execution, where decisions and executions have their immediate impact on the outcome of engagement in real More ❯

technical stakeholders. Write robust, production-ready Python code and partner with technology teams to operationalise models. Ensure models are compliant with internal governance and model risk frameworks. Provide ongoing model validation, documentation, and performance monitoring. Ideal Candidate Will Have: Strong background in ALM or Treasury modelling, particularly More ❯

technical stakeholders. Write robust, production-ready Python code and partner with technology teams to operationalise models. Ensure models are compliant with internal governance and model risk frameworks. Provide ongoing model validation, documentation, and performance monitoring. Ideal Candidate Will Have: Strong background in ALM or Treasury modelling, particularly More ❯

pricing sophistication. Collaborating with the technical pricing, street pricing, and product teams to implement pricing changes and ensure alignment with business objectives. Ensuring robust model validation, back-testing, and continuous model improvement. Communicating complex data concepts and model outcomes to technical and non-technical stakeholders through More ❯

deal-level pricing models including documentation and relevant regulatory reporting and communication. The role will include responsibility for building a best-in-class pricing model, carrying out model validation and recalibration, and creating appropriate governance and documentation of the models. You will report directly to the Head More ❯

deliver value. A passion for building great data products and a willingness to roll up your sleeves across the data lifecycle - from pipelining to model deployment. Experience with some of the following tools and technologies (or an eagerness to learn): Python and its data science ecosystem (e.g., pandas, scikit … learn, TensorFlow/PyTorch). Statistical methods and machine learning (e.g., A/B testing, model validation). Data pipelining tools like SQL, dbt, BigQuery, or Spark. A strong communicator with the ability to communicate technical concepts into layman's terms for a non-technical audience. You're More ❯

insights. Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement. Design and execute experiments to validate hypotheses and optimize model performance. Communicate findings and recommendations to stakeholders through clear and compelling data visualizations and presentations. Stay up-to-date with the latest industry trends More ❯