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About the Role

PhysicsX is seeking experienced Data Scientists to join our growing team in Singapore. This role involves building practical, AI-driven simulation software solutions for customers in advanced industries, requiring strong foundations in data-driven modeling and deep learning techniques.

Responsibilities

• Lead pre-processing and analysis of complex data to prepare it for predictive modeling.
• Establish best practices and methodologies for data preparation within the team.
• Architect and develop deep learning models combined with optimization methods to predict and control physical systems.
• Take full responsibility for the quality, accuracy, and impact of work and team output.
• Design, build, and test reliable, scalable, and robust data pipelines for production environments.
• Lead cross-functional collaboration with simulation engineers for seamless integration of data science models.
• Drive internal R&D and product development, refining models and identifying new applications.
• Mentor junior team members and provide technical guidance.
• Lead open communication and presentations with technical teams and customers.
• Onboard users and co-develop solutions with customers.
• Represent PhysicsX as a technical authority at customer sites globally.
• Collaborate closely with customers on-site to build solutions.
• Influence technical direction and shape future solutions and products.
• Develop skills as a technical leader.

Requirements

• Experienced problem solver and technical leader passionate about building practical solutions.
• Ability to grasp advanced engineering concepts across multiple industries.
• Proven ability to lead technical initiatives.
• Excel at working directly with customers, often on-site.
• Consistently tackled difficult problems requiring strong foundations in data-driven modeling and deep learning techniques.
• Extensive hands-on experience in probabilistic methods and predictive modeling.
• Proven experience in industry (post Masters or PhD) in a commercial, non-research environment.
• Ability to execute, lead, and mentor others.
• Excited about growing technical expertise and leadership skills.
• Naturally take ownership of complex data science work streams and guide teams to success.
• Continuously improve systems and solutions to ensure they are practical, impactful, and meet evolving customer needs.

Skills

• Python
• NumPy
• SciPy
• Pandas
• TensorFlow
• PyTorch
• Data-driven modeling
• Deep learning techniques
• Probabilistic methods
• Predictive modeling
• Architecting scalable models
• Deploying scalable models
• Architecting data pipelines
• Deploying data pipelines

Location

• Singapore
• North America
• Europe
• Asia
• Oceania

Work Type

• On-site collaboration
• Full-time

Experience Level

• Senior
• All levels

Education Level

• Masters
• PhD

About the Company

• 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.
• PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations by enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle.
• Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
• Our delivery teams drive innovation to turn AI models into practical solutions.

Equal Opportunity

• 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 strongly 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 the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation.
• This information is confidential, used only in aggregate form, and will not influence the outcome of your application.