Overview

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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 to enable high-fidelity, multi-physics simulation through AI inference across the engineering lifecycle.

Who we're looking for

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 can grasp advanced engineering concepts across multiple industries and excel at working directly with customers to transform cutting-edge AI models into useful tools. You have experience with data-driven modelling and deep learning techniques, probabilistic methods and predictive modelling, and proficiency in Python with libraries such as NumPy, SciPy, Pandas, TensorFlow and PyTorch. You should be able to deploy scalable, production-ready models and data pipelines.

Minimum: at least 1 year of industry experience (post Masters or PhD) in a commercial, non-research environment. You are eager to grow technically and willing to take ownership of data science work streams to continuously improve systems and solutions for customers.

Responsibilities

• Pre-processing and analyzing data to prepare it for predictive modelling.
• Developing and utilizing deep learning models 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 production-ready.
• Working closely with simulation engineers to ensure seamless integration of data science models with simulations.
• Contributing to internal R&D and product development, refining models and identifying new areas of application.
• Engaging in open communication and presentations with technical teams and customers, helping onboard users and co-develop with customers.
• Travel to customer sites in North America, Europe, Asia and Oceania (average 2-3 weeks per quarter) to collaborate with customers on-site.

This role and growth

As the role evolves, there are opportunities for growth as an individual contributor or technical lead, especially if you are driven to take on more complex projects and shape future solutions.

Location and work model

This role is based in London, with 2-3 days per week in our central office.

What we offer

• Equity options – share in our success and growth.
• 10% employer pension contribution – invest in your future.
• Free office lunches – fuel your workdays.
• Flexible working – balance work and life.
• Hybrid setup – Shoreditch office with remote flexibility.
• Enhanced parental leave – support for life’s milestones.
• Private healthcare – comprehensive coverage.
• Personal development – access to learning and training.
• Work from anywhere – extend remote setup as needed.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Consulting
• Industries: Software Development, IT Services and IT Consulting, and Space Research and Technology