PhysicsX Ltd
Overview
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. This Role
As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in Python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines. With 3-5 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. Responsibilities
Lead pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. Architect and develop innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems. Take full responsibility for the quality, accuracy and impact of your work and the work of your team. Design, build, and test data pipelines that are reliable, scalable, and robustly deployable in production environments. Lead cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. Drive internal R&D and product development, helping to refine models and identify new areas of application. Mentor junior team members and provide technical guidance to help them grow. Lead open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers. Represent PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, averaging 2-3 weeks per quarter, to collaborate with customers and build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. Please note, this role is based in Manhattan, NYC, working 2-3 days per week in our office. Qualifications
Strong foundations in data-driven modelling and deep learning; experience with probabilistic methods and predictive modelling. Proficiency in Python and libraries such as NumPy, SciPy, Pandas, TensorFlow, and PyTorch. 3-5 years of industry experience in a commercial, non-research environment. Experience architecting and deploying scalable, production-ready models and data pipelines. Ability to lead and mentor teams and to work directly with customers, including on-site engagements. Excellent communication and collaboration skills to work with cross-functional teams. 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. We believe diversity fuels innovation, and we're building a culture where everyone belongs. We’re proud to be an equal opportunity employer and welcome talent of all backgrounds, identities, and experiences. We actively encourage individuals from historically underrepresented groups to apply. Salary
$120,000 - 240,000 depending on experience. Seniority will be assessed throughout our interview process. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We encourage individuals from groups traditionally underrepresented in tech to apply. We sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for monitoring the effectiveness of equal opportunities policies and ensuring compliance with applicable law. This information is confidential and aggregate. Apply for this job
The application form and fields above are part of the job posting process and may include voluntary self-identification sections mandated by law. This job description does not require disclosure of personal data beyond what is necessary for the application and hiring process.
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PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. This Role
As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in Python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines. With 3-5 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. Responsibilities
Lead pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. Architect and develop innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems. Take full responsibility for the quality, accuracy and impact of your work and the work of your team. Design, build, and test data pipelines that are reliable, scalable, and robustly deployable in production environments. Lead cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. Drive internal R&D and product development, helping to refine models and identify new areas of application. Mentor junior team members and provide technical guidance to help them grow. Lead open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers. Represent PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, averaging 2-3 weeks per quarter, to collaborate with customers and build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. Please note, this role is based in Manhattan, NYC, working 2-3 days per week in our office. Qualifications
Strong foundations in data-driven modelling and deep learning; experience with probabilistic methods and predictive modelling. Proficiency in Python and libraries such as NumPy, SciPy, Pandas, TensorFlow, and PyTorch. 3-5 years of industry experience in a commercial, non-research environment. Experience architecting and deploying scalable, production-ready models and data pipelines. Ability to lead and mentor teams and to work directly with customers, including on-site engagements. Excellent communication and collaboration skills to work with cross-functional teams. 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. We believe diversity fuels innovation, and we're building a culture where everyone belongs. We’re proud to be an equal opportunity employer and welcome talent of all backgrounds, identities, and experiences. We actively encourage individuals from historically underrepresented groups to apply. Salary
$120,000 - 240,000 depending on experience. Seniority will be assessed throughout our interview process. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We encourage individuals from groups traditionally underrepresented in tech to apply. We sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for monitoring the effectiveness of equal opportunities policies and ensuring compliance with applicable law. This information is confidential and aggregate. Apply for this job
The application form and fields above are part of the job posting process and may include voluntary self-identification sections mandated by law. This job description does not require disclosure of personal data beyond what is necessary for the application and hiring process.
#J-18808-Ljbffr