Data Scientist

PhysicsX is a deep-tech company focused on accelerating hardware innovation through AI-driven simulation software. The Data Scientist role involves solving engineering challenges by developing predictive models and data pipelines, while collaborating closely with customers and technical teams. Responsibilities Pre-processing and analyzing data to prepare it for use in predictive modelling, building the foundation for machine learning algorithms to be developed Developing and utilizing innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems Taking full responsibility for the quality, accuracy and impact of your work Designing, building and testing data pipelines that are reliable, scalable and easily deployable in production environments Working closely with simulation engineers to ensure seamless integration of data science models with simulations Contributing to internal R&D and product development, helping to refine models and identify new areas of application Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers There is a requirement to travel to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you’ll collaborate closely with customers to build solutions on site Skills At least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment Strong foundations in data driven modelling and deep learning techniques Hands-on experience in probabilistic methods and predictive modelling Expertise in Python Proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow, and PyTorch Ability to deploy scalable, production-ready models and data pipelines Ability to pre-process and analyze data to prepare it for use in predictive modelling Experience in developing and utilizing innovative deep learning models in combination with state-of-the-art optimization methods Ability to take full responsibility for the quality, accuracy and impact of work Experience in designing, building and testing data pipelines that are reliable, scalable and easily deployable in production environments Ability to work closely with simulation engineers to ensure seamless integration of data science models with simulations Experience in contributing to internal R&D and product development Ability to engage in open communication and presentation with both technical teams and customers Willingness to travel to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter Benefits Equity options – share in our success and growth. 5% 401(k) match – invest in your future. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our Manhattan office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage for you and your family. Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones. Company Overview PhysicsX offers an AI-native simulation software stack for engineering and manufacturing across advanced industries. It was founded in 2019, and is headquartered in London, England, GBR, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship PhysicsX has a track record of offering H1B sponsorships, with 1 in 2024. Please note that this does not guarantee sponsorship for this specific role.