PhysicsX

About the Company

PhysicsX is a pioneering deeptech startup at the intersection of AI and engineering, dedicated to driving breakthrough innovations.

Born out of numerical physics and Formula One, PhysicsX pushes the boundaries of advanced computer-aided engineering (CAE), physics simulations, and machine learning to solve complex, high-impact challenges across design, manufacturing, and operational control. Serving industries such as Aerospace, Automotive, Materials, Energy & Renewables, and Semiconductors, PhysicsX empowers its clients with cutting-edge AI-driven solutions that optimize performance, accelerate development, and deliver exceptional results even in the most demanding environments.

We are currently recruiting for multiple positions, however, please only apply for the role that best aligns with your skillset and career goals.

Listed Jobs

Company Name

PhysicsX

Job Title

Data Scientist

Job Description

Job Title: Data Scientist Role Summary: Data Scientist in Delivery develops and deploys AI‑driven simulation models that enable engineering customers to optimize design, manufacturing and operational decisions. Collaborates closely with simulation and machine learning engineers and customers to translate complex physics challenges into production‑ready data science solutions. Expectations: - Minimum 1 year commercial industry experience after a Master’s or PhD. - Strong foundation in data‑driven modelling, deep learning, and probabilistic methods. - Proficient in Python and core scientific libraries (NumPy, SciPy, Pandas, TensorFlow, PyTorch). - Ability to design scalable, reproducible pipelines and deploy models in production environments. - Excellent communication skills for technical presentations and customer collaboration. - Willingness to travel to customer sites (≈2‑3 weeks per quarter). Key Responsibilities: - Pre‑process and analyze large datasets for predictive modelling. - Design, train, and evaluate deep learning models integrated with state‑of‑the‑art optimization techniques to predict/control physical system behavior. - Build and maintain reliable, scalable data pipelines for model training and inference. - Collaborate with simulation engineers to integrate models into simulation workflows. - Lead end‑to‑end data science work streams, ensuring quality, accuracy and business impact. - Contribute to internal R&D, refining models and identifying new application areas. - Present findings and solutions to technical teams and customers, facilitating onboarding and co‑development. Required Skills: - Python programming with NumPy, SciPy, Pandas, TensorFlow, PyTorch. - Probabilistic modeling and predictive analytics. - Deep learning model development and explainability. - Optimization algorithms and numerical methods. - Design and deployment of scalable data pipelines. - Strong analytical and problem‑solving abilities. - Clear written and verbal communication. Required Education & Certifications: - Master’s degree or PhD in Computer Science, Data Science, Applied Mathematics, Physics, or related discipline. - Demonstrated industry experience in a commercial, non‑research environment.

London, United kingdom

Hybrid

Fresher

04-12-2025