Time since we first saw it
Day 13
Similar jobs usually come down between day 7 and day 56.
From 10,195 similar postings that came down. Coming down is not always a hire.
Data Science Engineer – Vehicle Science
Silverstone, England
Actively hiring, first seen by us 13 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Permanent — employment source
Employment type Permanent - Full Time
Read the full posting
What you’ll work on
Full postingDevelop 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.
Analyse complex datasets, evaluate model performance and communicate findings through clear technical reports, visualisations and presentations.
From the employer’s posting
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.
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.
Education & alternatives
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.
Benefits in the posting
Full benefits wording- 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.
- Employment type
- Permanent - Full Time
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 202613 days ago
- Recorded sightings
- 17
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Aston Martin Aramco Formula One Team is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- PyTorch
- scikit-learn
Where the posting names them
- 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.
Your next step
Complete your application on astonmartinf1.pinpointhq.com. The employer’s form will show what is required.
Applying through Pinpoint
- Only .pdf and .docx are accepted. Older .doc files are turned away.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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.
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.
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.
Employment type
Permanent - Full Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Silverstone, England
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. Employment type
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.