Data Scientist

Introduction

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

What You Will Do

• Work closely with our simulation engineers, machine learning engineers and customers to develop an understanding of the physics and engineering challenges we are solving
• Build innovative models to predict the behaviour of physical systems leveraging state-of-the-art machine learning and deep learning techniques
• Own the delivery of data science workstreams
• Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable
• Discuss the results and implications of your work with your colleagues and our customers
• Contribute to our internal R&D and product work
  
  
  

What You Bring To The Table

• Enthusiasm about using machine learning, especially deep-learning and/or probabilistic methods, for science and engineering
• Ability to scope and effectively deliver projects
• Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly
• Excellent collaboration and communication skills - with teams and customers alike
• Degree in computer science, machine learning, applied statistics, mathematics, physics, engineering or a related field
• 2+ years’ experience in a data-driven role, with exposure to:
• Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, TensorFlow, PyTorch, Airflow), especially including deep-learning applications
• Software engineering concepts and best practices for collaborative programming (e.g., versioning, testing, deployment)
• Working in a cloud environment with one of the major cloud providers
• (Appreciated, but not a prerequisite) Simulations for FEA/CFD
  
  
  

What We Offer

• Equity options – share in our success and growth
• 10% employer pension contribution – invest in your future
• Free office lunches – great food to fuel your workdays
• Flexible working – balance your work and life in a way that works for you
• Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility
• Enhanced parental leave – support for life’s biggest milestones
• Private healthcare – comprehensive coverage
• Personal development – access learning and training to help you grow
• Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones
  
  
  

Our stance

We believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically underrepresented groups to apply.