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Data Scientist

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EMP:Technology
London
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Remoto
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Descripción

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Re-architecting Engineering for the Age of Intelligence

PhysicsX is the physics AI company for industrials

The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today.

PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle.

The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges.

PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.
 

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 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.

</div> <div> </div> <div>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.

</div> <div> </div> <div>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.

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