4 of 4 Model Validation Jobs in the Thames Valley

design meetings to help shape 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 to continuously improve the team 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 ❯

simulators, and real-time track support systems. This includes developing and implementing algorithms and optimisation techniques to enable efficient exploration of vehicle behaviours, as well as rigorous correlation of model predictions to track data. Key Accountabilities: Develop and maintain physics-based and data-driven models of the vehicle subsystems (e.g. tyres, suspension, powertrain, aero, brakes, steering). Implement these … architecture for use in offline optimisation, driver-in-the-loop and real-time track analysis applications. Create robust simulation algorithms and numerical methods to ensure fast, stable, and accurate model performance. Design and apply optimisation routines to provide insights into car setup, development direction, and performance analysis. Collaborate closely with performance engineers, controls engineers, and simulator development teams to … ensure models meet the demands of various users. Carry out model validation and correlation exercises using telemetry and test data from track and rig sessions. Contribute to the long-term strategy of simulation fidelity and modularity across the vehicle model stack. Present findings and recommendations to technical stakeholders in a clear and concise manner. Key requirements: Essential More ❯

simulators, and real-time track support systems. This includes developing and implementing algorithms and optimisation techniques to enable efficient exploration of vehicle behaviours, as well as rigorous correlation of model predictions to track data. Key Accountabilities: Develop and maintain physics-based and data-driven models of the vehicle subsystems (e.g. tyres, suspension, powertrain, aero, brakes, steering). Implement these … architecture for use in offline optimisation, driver-in-the-loop and real-time track analysis applications. Create robust simulation algorithms and numerical methods to ensure fast, stable, and accurate model performance. Design and apply optimisation routines to provide insights into car setup, development direction, and performance analysis. Collaborate closely with performance engineers, controls engineers, and simulator development teams to … ensure models meet the demands of various users. Carry out model validation and correlation exercises using telemetry and test data from track and rig sessions. Contribute to the long-term strategy of simulation fidelity and modularity across the vehicle model stack. Present findings and recommendations to technical stakeholders in a clear and concise manner. Key requirements: Essential More ❯