Data Scientist

Updated on 12/6/2023

11-50 employees

AI-driven physics simulations for advanced industry optimization

Company Overview

PhysicsX stands out as a leading deep-tech company, leveraging machine learning to significantly expedite physics simulations, thereby opening up new avenues for optimization in physical design and engineering. Their work has far-reaching implications across a variety of critical industries such as Space, Aerospace, Medical Devices, and Renewables, with tangible societal benefits like enhancing artificial heart designs, reducing CO2 emissions, and boosting renewable turbine performance. The company's commitment to continuous improvement, trust-based relationships, and real-world implementation of their breakthrough technologies, coupled with their profitable and sustainable growth, make it an attractive workplace for engineers and scientists.

AI & Machine Learning

Energy

Aerospace

Company Stage

Series A

Total Funding

$32M

Founded

N/A

Headquarters

London, United Kingdom

Growth & Insights

Headcount

6 month growth

↑ 57%

1 year growth

↑ 215%

2 year growth

↑ 241%

Locations

London, UK

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Data Science

Autodesk CFD

Airflow

NumPy

Pandas

Pytorch

Tensorflow

Python

CategoriesNew

AI & Machine Learning

Data & Analytics

Requirements

Degree in computer science, machine learning, applied statistics, mathematics, physics, engineering or a related field
2+ years’ experience in a data-driven role
Experience building machine learning models and pipelines in Python
Experience with common libraries and frameworks (e.g., NumPy, SciPy, Pandas, TensorFlow, PyTorch, Airflow)
Experience with software engineering concepts and best practices
Experience working in a cloud environment with one of the major cloud providers
Appreciated, but not a prerequisite: Experience with simulations for FEA/CFD

Responsibilities

Work closely with simulation engineers, machine learning engineers, and customers to develop an understanding of the physics and engineering challenges
Build innovative models to predict the behavior of physical systems using machine learning and deep learning techniques
Own the delivery of data science workstreams
Design, build, and test data pipelines for machine learning
Discuss the results and implications of work with colleagues and customers
Contribute to internal R&D and product work

Desired Qualifications

Enthusiasm about using machine learning for science and engineering
Strong problem-solving skills
Excellent collaboration and communication skills
Experience with simulations for FEA/CFD

Introduction

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering.

Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, and increasing the performance of wind turbines.

We are a rapidly growing and profitable company but prefer to fly under the radar to protect our customers’ confidentiality. We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic data scientist to join our team. If all of this sounds exciting to you, we would love to talk (even if you don’t tick all the boxes).

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 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), potentially 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

Be part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of
Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you’ll find yourself at home here
Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo
Work sustainably, striking the right balance between work and personal life.
Receive a competitive compensation and equity package, in addition to plenty of perks such as generous vacation and parental leave, complimentary office food, as well as fun outings and events
Work in a flexible setting, at our lovely London Shoreditch office, and a good proportion from home if so desired. Get the opportunity to occasionally visit our customers’ engineering sites and experience first-hand how our work is transforming their ways of working
Use first-class equipment for working in-office or remotely, including HPC

Our stance

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.