Description
Turn data into performance at Aston Martin Aramco Formula 1 Team.
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.
Key Responsibilities
- 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.
Skills, Knowledge & Expertise
- Master's degree or higher in Mathematics, Physics, Engineering, Computer Science or another relevant scientific or computational discipline.
- Strong knowledge of mathematical and data-driven modelling, including reduced-order modelling, surrogate models, emulators and predictive algorithms.
- Strong analytical skills across modelling, experimental methods, statistical inference and data analysis; experience with fluid mechanics or other complex physical systems is advantageous.
- Excellent programming skills in Python, with experience using scientific computing and machine-learning libraries such as scikit-learn, JAX or PyTorch. Further software training will be available where required.
- Ability to evaluate models, investigate unexpected results and draw robust, evidence-based conclusions from complex engineering data.
- A proactive, results-oriented approach, with sound technical judgement and the ability to manage competing priorities under pressure.
- Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary engineering teams.
Experience in Formula 1, motorsport, aerospace or another high-performance engineering environment would be advantageous.
Benefits
Investing in your career is paramount. We promote professional and personal development through a provision of learning opportunities and work with you to shape your career and realise your full potential.
As part of our high-performing, collaborative team, you'll enjoy a competitive package, including a discretionary bonus scheme, private healthcare, pension plan, life assurance, TEDSgroup childcare benefits, a cycle-to-work scheme, tech scheme, and car scheme.
You will also have access to our state-of-the-art facilities at the AMR Technology Campus, featuring a new on-site gym with fitness, spin and yoga classes, a bistro café, and restaurant.