Full-Time

Data Scientist

Confirmed live in the last 24 hours

PhysicsX

PhysicsX

11-50 employees

AI-driven simulation for advanced industries

Energy
AI & Machine Learning
Aerospace
Healthcare

Junior, Mid

London, UK

This is a hybrid position, indicating that some days will require in-office attendance.

Category
Data Science
Data & Analytics
Required Skills
Python
Airflow
Data Science
Tensorflow
Pytorch
Machine Learning
Pandas
NumPy

You match the following PhysicsX's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 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
Responsibilities
  • 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
Desired Qualifications
  • (Appreciated, but not a prerequisite) Simulations for FEA/CFD

PhysicsX enhances the design and operation of machines in advanced industries using artificial intelligence (AI) and simulation engineering technologies. The company serves clients in renewable energy, healthcare, and transportation, helping them improve designs and processes, such as optimizing artificial hearts and reducing vehicle emissions. Unlike competitors, PhysicsX offers specialized AI-driven simulations tailored to specific industry needs, generating revenue through project-based work and long-term contracts. The goal is to achieve engineering breakthroughs that positively impact climate and human health.

Company Size

11-50

Company Stage

Series A

Total Funding

$31.1M

Headquarters

London, United Kingdom

Founded

null

Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Siemens enhances PhysicsX's capabilities in AI-based aerodynamics simulations.
  • $32 million Series A funding boosts growth and research expansion for PhysicsX.
  • UK's AI market growth offers expansion opportunities for PhysicsX.

What critics are saying

  • UK's AI startup surge may dilute PhysicsX's market share.
  • Dependence on AWS poses data security and service reliability risks.
  • Rapid AI advancements require continuous innovation to avoid obsolescence.

What makes PhysicsX unique

  • PhysicsX uses AI to revolutionize machine design in climate and health sectors.
  • Their LGM-Aero model reduces aerospace concept development time from months to hours.
  • PhysicsX's Ai.rplane app offers public access to advanced aerodynamics tools.

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Benefits

Company Equity

Paid Vacation

Parental Leave

Flexible Work Hours

Remote Work Options

Company News

Defense Here
Dec 6th, 2024
Siemens and PhysicsX unveil AI-powered deep physics model for aerodynamics

PhysicsX has also launched Ai.rplane, a public-access technology demonstrator designed to provide a set of exploratory tools for aerodynamics and aircraft structures.

Daily CAD CAM
Dec 5th, 2024
Siemens, PhysicsX Collaborate to Build AI-based Deep Physics Simulation

PLANO, TX, USA, Dec 5, 2024 - Siemens Digital Industries Software announced today its ongoing collaboration with PhysicsX, a startup leveraging generative AI to enable breakthrough engineering in advanced industries.

Design Engineering
Dec 4th, 2024
PhysicsX launches GenAI for aero engineering, Ai.rplane app for aerostructures

PhysicsX launches genai for aero engineering, Ai.rplane app for aerostructures.

PR Newswire
Dec 4th, 2024
Physicsx Introduces Free-To-Use 'Ai For Advanced Engineering' To Transform Aerospace Development

PhysicsX releases the first Large Geometry Model, LGM-Aero, for aerospace engineering, trained and provisioned on Amazon Web Services (AWS) cloud compute using more than 25 million different shapes. It reduces the time to investigate aerospace concepts from months to hours. Trained and provisioned on AWS, LGM-Aero is a geometry and physics model pre-trained on a corpus of 25+ million meshes representing over 10 billion vertices, enabling dramatic reductions in aircraft concept development time. 'Ai.rplane' is a publicly accessible reference application built on LGM-Aero meant to showcase the power of the model for generating novel aircraft designs and predicting physics associated with aircraft performance, unveiled today at AWS re:Invent 2024 (2-6 Dec, Las Vegas)

Silicon Canals
Jun 17th, 2024
The Hottest Genai Startups From London You Need To Watch In 2024

Globally, the UK ranks third in terms of the number of AI companies and private capital investment in AI. It accounts for around half of all AI private capital investment in Europe. Every year, hundreds of new AI companies are established in the kingdom, which further contributes to the growth of the industry.The AI sector employs over 50,000 people and contributes more than £3.7B to the UK economy annually. Projections suggest that by 2035, the UK’s AI market’s contribution could rise to over £550B.The UK also hosted the world’s first AI Safety Summit last year. It brought together industry experts, academia, and civil society from the EU and 28 leading AI nations to agree on the Bletchley Declaration–a commitment to mitigate the risks associated with advanced AI.One subset of AI currently making waves is the generative AI. Using machine-learning algorithms to create new content, it does tasks such as content creation, artwork production, code debugging, and many more