Data Scientist

PhysicsX; London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading deep-tech company in London is looking for a Data Scientist to solve engineering challenges using AI-driven simulation software. This position requires strong skills in data-driven modeling, deep learning techniques, and collaboration with simulation engineers and customers. The role offers equity options, flexible working, and opportunities for personal development, all within a hybrid work environment.

Benefits

Equity options

10% employer pension contribution

Free office lunches

Flexible working

Hybrid setup

Enhanced parental leave

Private healthcare

Personal development opportunities

Work from anywhere

Qualifications

• At least 1 year of industry experience in a commercial environment.
• Strong foundation in data driven modelling.
• Experience in building scalable data pipelines.

Responsibilities

• Pre-process and analyze data for predictive modeling.
• Develop deep learning models for physical system behavior.
• Design and test reliable data pipelines.

Skills

Data driven modelling

Deep learning techniques

Hands-on experience with Python

Proficiency in NumPy

Proficiency in SciPy

Proficiency in Pandas

Experience with TensorFlow

Experience with PyTorch

Predictive modelling

Education

Masters or PhD in relevant field

Job description

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.

Who We're Looking ForAs 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.

Role

This RoleIn 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.- There is a requirement to travel to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you’ll collaborate closely with customers to build solutions on site.
  
  

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.Please note, this role is based in London, working 2-3 days per week in our central office.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-worldWhat 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.