Aston Martin Aramco Formula One Team

Data Science Engineer – Vehicle Science

Posted 7 Days Ago

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Silverstone, Northamptonshire, England, GBR

In-Office

Entry level

Automotive • Sports

The Role

Develop mathematical, physics-based, and machine-learning models for Formula One vehicle and aerodynamic performance. Build scalable pipelines for CFD, wind tunnel, and track data; apply surrogate models, emulators, and reduced-order methods to accelerate simulation; evaluate model performance; and communicate insights to multidisciplinary engineering teams. The role also requires maintaining data quality, traceability, security, and clean software engineering practices.

Summary Generated by Built In

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.

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 and 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.

Make an impact
At Aston Martin Aramco, the way we model, simulate and interpret engineering data can make a real difference to car development. You'll help advance the tools and techniques that enable our engineers to extract greater value from simulation, wind tunnel and track data, improve predictive understanding and make better-informed decisions.

Working alongside specialists across Vehicle Science and the wider engineering organisation, you'll apply your expertise to real performance challenges where accuracy, innovation and speed matter.

If you're driven by mathematical modelling, machine learning and the opportunity to turn complex engineering data into competitive advantage, we'd like to hear from you.

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.

About
Embark on a journey with the Aston Martin Aramco Formula One Team to reshape history at our cutting-edge, sustainable campus in Northamptonshire. Combining our rich heritage with innovation, we bring fresh energy to the sport, driven by a commitment to challenge the status quo and dominate the track. With new investment fueling our ambitions, we're seeking talented individuals who share our passion for racing and drive for success. As part of our high-performing, collaborative team, you'll enjoy a competitive package, including a discretionary bonus scheme, private health care, pension plan, life assurance, and benefits like, cycle-to-work, tech, and car schemes. Plus, you can look forward to an on-site gym with fitness classes, as well as a restaurant offering indoor and outdoor dining.Aston Martin Formula One Team is committed to attracting, recruiting, and retaining the most talented individuals, regardless of age, disability, gender identity, gender expression, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion, belief, sex or sexual orientation. We strive to be a Team that reflects all the communities with which we engage around the world through diversity in the workplace and promoting an inclusive culture in which all team members are respected, empowered and valued.

Skills Required

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 in modelling, experimental methods, statistical inference, and data analysis
Excellent programming skills in Python
Experience with scientific computing and machine-learning libraries such as scikit-learn, JAX, or PyTorch
Ability to evaluate models, investigate unexpected results, and draw evidence-based conclusions from complex engineering data
Proactive, results-oriented approach with sound technical judgment and ability to manage competing priorities under pressure
Strong communication and collaboration skills across multidisciplinary engineering teams
Experience with fluid mechanics or other complex physical systems
Experience in Formula 1, motorsport, aerospace, or another high-performance engineering environment