Be among the first 25 applicants
The Cadillac Formula 1®Team is what happens when history, purpose and daring talent come together. Backed by TWG Global and GM, our team is uniquely positioned to disrupt Formula 1®, bringing a fresh perspective and an unrelenting drive for success. We have the energy of a start‑up, with the ideas and originality of a business that always wants to lead, never wants to follow.
We're building everything from the ground up, from a high-performance car to an inclusive, values-driven culture. We show bold ambition. We combine leadership in innovation with excellence in execution. We are one team. We have the freedom to think differently, the opportunity to shape process and practice, an ego‑free environment where people thrive on being challenged by those around them. A historic name behind us. Career-defining moments ahead.
A New Chapter Begins.
Fueled by bold ambition
Play your part in getting us on the grid.
Closing Date: 18th November 2025
We have an opportunity for a Senior Aero Performance Data Scientist to join The Cadillac Formula 1® Team at our new Silverstone facility. In this role, you will play a pivotal part in developing advanced data analysis tools and methodologies to extract performance-enhancing insights from complex aerodynamic datasets. Your expertise in data science, statistical modelling, and machine learning will be instrumental in optimizing aerodynamic efficiency, solving performance challenges, and driving a measurable competitive advantage on the racetrack.
Responsibilities
- Conduct comprehensive analysis of large and complex datasets, including race telemetry, wind tunnel data, CFD data, and driver feedback
- Identify patterns, trends and anomalies to optimise aerodynamic performance
- Develop and implement statistical models and algorithms to optimise aerodynamic performance
- Apply statistical techniques to identify correlations and causations that impact performance
- Utilise machine learning algorithms and techniques to uncover insights from structured and unstructured data sources
- Create visually compelling and intuitive dashboards, reports and visualisations to communicate data-driven insights to key stakeholders in the company
Requirements
- Proven experience applying data analysis and performance optimisation techniques in a high-performance engineering or motorsport environment
- Proficiency in data analysis, statistical modelling and visualisation tools
- Strong understanding of machine learning and artificial intelligence techniques
- Ability to explain complex concepts and support junior engineers within the team
- Programming experience (Python/MATLAB)
- Able to perform duties in a timely manner with minimal errors
- Communicate effectively with key stakeholders/directors
- Strong levels of IT skills including MS Office, Word, Excel, and PowerPoint
- Positively contribute to an open and inclusive culture
A team like no other.
We challenge conventions and re‑define success through bold ambition, cutting‑edge innovation, and an unwavering commitment to precision and excellence—on and off the track. This includes offering industry-leading pension, generous time off and, as part of a global brand, huge potential for career development.
As an equal opportunities employer, we are committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy or maternity, race or ethnicity, religion or belief, gender identity or marriage and civil partnership. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply.
At The Cadillac Formula 1®Team, all Team Members are expected to actively support and uphold our policies and procedures, including those focused on Environmental responsibility, Sustainability initiatives, Inclusion and Health and Safety practices.
Please note that additional security checks may be required as part of the recruitment process. This may include a background check covering a minimum of the past five years and a criminal record check.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
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