Data Scientist, PhysicsX
+ Equity options
More information about location
2-3 days a week in office (Shoreditch, London)
Machine learning for physics & engineering simulations
Job no longer available
Machine learning for physics & engineering simulations
101-200 employees
Job no longer available
+ Equity options
More information about location
2-3 days a week in office (Shoreditch, London)
101-200 employees
Company mission
To reimagine simulation for science and engineering using AI.
Role
Who you are
- As a Data Scientist in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions
- You are someone who can grasp advanced engineering concepts across multiple industries, and you excel at working directly with customers (and often side-by-side with them on-site) to transform cutting edge AI models into tools that are useful and used
- You’ve worked on difficult problems that require strong foundations in data driven modelling and deep learning techniques, with hands-on experience in probabilistic methods and predictive modelling
- Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with the ability to deploy scalable, production-ready models and data pipelines
- With at least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment, you’re ready to hit the ground running
- You’re truly excited about growing your technical expertise and are naturally inclined to take ownership of data science work streams, continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers
What the job involves
- In this role, you’ll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving
- You’ll build the foundations for successful, impactful solutions by:
- Pre-processing and analyzing data to prepare it for use in predictive modelling, building the foundation for machine learning algorithms to be developed
- Developing and utilizing innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems
- Taking full responsibility for the quality, accuracy and impact of your work
- Designing, building and testing data pipelines that are reliable, scalable and easily deployable in production environments
- Working closely with simulation engineers to ensure seamless integration of data science models with simulations
- Contributing to internal R&D and product development, helping to refine models and identify new areas of application
- Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers
- As the role evolves, there are exciting opportunities for growth as an individual contributor or a technical lead, especially if you’re driven by taking ownership of more complex projects and leading the direction of future solutions
Salary benchmarks
Our take
The rise of generative AI has empowered many industries to fine-tune their operations. PhysicsX utilizes the burgeoning technology to improve the efficiency and advancement of simulations in physics, with applications across aerospace, automotive, renewable energy, medical devices, additive manufacturing, electric vehicles, motorsport, and renewables.
Co-founded by a chief scientist for championship-winning Formula One teams, PhysicsX was born out of a hunger for more advanced research and development phases using numerical physics. R&D and physics simulation go hand-in-hand for many industries, and PhysicsX can help manufacturers iron out problems before they even build a prototype.
Founded in 2020, and raising an impressive $32 million in 2023, the company is pursuing accelerated growth through its customer delivery, product, and research wings. It is about to take the next leap in building out its technology platform and product offering. As it further develops its product, the company has a real chance to capture the market moving forward.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Nov 2025
$20m
LATE VC
Jun 2025
$135m
SERIES B
Total funding: $187m
Company benefits
- Equity package
- 10% Employer pension contribution
- 33 days holiday per year with UK bank holidays
- Flexible working (remote-friendly, hybrid)
- Flexible parental leave (3 months)
- Social events (Friday drinks, board game nights, vintage car meet-ups, tech community & art events, etc.)
- 50 hours per year for learning, training, conferences, volunteering
- Bike2Work Scheme
Company HQ
Westminster, London, UK
Leadership
Jacomo Corbo
(CEO)Previously a Partner at McKinsey & Company, Chief Scientist at QuantumBlack, Senior Research Fellow at Wharton Business School, and Assistant Professor at the University of Ottawa.
Robin Tuluie
(Chairman)Previously the Head of R&D at Renault (Alpine) F1, and Chief Scientist and Head of R&D for the Mercedes F1 team.
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