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    BI Data Modeler - London, United Kingdom - PhysicsX Ltd

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    Description

    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 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. 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
    Enthusiasm about using machine learning for science and engineering
    ~ Ability to scope and effectively deliver projects
    ~ 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., Software engineering concepts and best practices for collaborative programming (e.g., versioning, testing, deployment)
    ~ 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. Be able to properly switch off in the evening and during weekends. What matters is the quality of our work
    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, with your choice of either our lovely London Shoreditch or Bicester Heritage offices to collaborate in, and a good proportion from home if so desired.

    Use first-class equipment for working in-office or remotely, including HPC

    We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity.

    To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

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