About this role
Turn data into performance at Aston Martin Aramco Formula 1 Team. Are you passionate about applying advanced modelling and AI to unlock performance in one of the world's most demanding engineering environments? Join our Vehicle Science team as a Data Science Engineer , where your work will directly influence the development and performance of our Formula One car.
- You'll apply mathematical modelling, physics-based methods and machine learning to accelerate simulation, improve predictive capabilities and generate valuable insights across aerodynamics and related engineering disciplines.
- Working with complex data from CFD, wind tunnel testing and the track, you'll help turn advanced analysis into better engineering decisions.
- Develop and maintain robust mathematical, physics-based and data-driven models to improve engineering analysis and aerodynamic performance.
- Design and optimise scalable data pipelines integrating complex datasets from CFD, wind tunnel testing, track activities and other engineering sources.
- Research and apply advanced AI and machine-learning techniques, including surrogate models, emulators and reduced-order methods, to improve predictive capability and accelerate simulation.
- Collaborate with Vehicle Science, Simulation and Modelling, Aerodynamics, Vehicle Performance and other technical groups to embed modelling insights into engineering workflows and decisions.
- Analyse complex datasets, evaluate model performance and communicate findings through clear technical reports, visualisations and presentations.
- Maintain high standards of data quality, integrity, security and traceability across modelling workflows.
- Write clean, efficient and maintainable code using sound software engineering practices, version control and AI-assisted development tools where appropriate.