Data Scientist

🏢 Physicsx · 📍 New York, United States · 💼 onsite 💰 $120,000 - $120,000 / yr
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Position Summary & Responsibilities

About us

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.
 
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.
 
Note: This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR).  Please note that any
🎯 Candidate Preparation Guide For Physicsx Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Tests world-class applied artificial intelligence capabilities, deep physics simulation expertise, and the ability to solve extreme engineering bottlenecks.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Purely academic AI/ML background with no experience applying models to physical, hard-tech domains.
  • 2. Arrogance or dismissal of domain-specific engineering constraints in aerospace, energy, or materials.
  • 3. Inability to write clean, production-grade code under performance constraints.
✨ Recommended Role Alignment Hook:

I build deep-tech AI frameworks that collapse simulation and optimization loops for the world's most complex physical engineering challenges.

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