- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 5 days ago
- Work mode
- In office
- Education
- Master's or PhD
- Resume
- Required to apply
Where you'll work
Sign in to tell us what does and doesn't work for you here — it sharpens every match we show you.
Job description
Company Overview
PhysicsX is a pioneering physics AI enterprise focused on revolutionizing industrial engineering through advanced simulation software designed to accelerate hardware innovations. The company collaborates with key industries including aerospace & defence, automotive, semiconductors, materials, and energy & renewables, offering solutions to some of their most complex challenges. PhysicsX operates from its headquarters in the UK and has offices in London, New York, Singapore, and the Bay Area.
Role Summary
The Principal Data Scientist / Algorithm Engineer position entails a pivotal role that merges technical leadership with hands-on problem-solving across various engineering sectors. The position demands expertise in data-driven modeling and deep learning to craft impactful AI-driven tools that improve engineering decisions. The role involves close interaction with customers, often on-site, and collaboration with simulation and machine learning engineers to embed AI innovations within practical applications.
Key Responsibilities
- Lead data preprocessing and analysis for complex datasets, establishing robust methodologies and best practices for the team.
- Design and implement cutting-edge deep learning models integrated with advanced optimization techniques to predict and control physical systems.
- Ensure the quality, accuracy, and meaningful impact of personal and team deliverables.
- Develop reliable, scalable data pipelines that are production-ready and seamlessly deployable.
- Collaborate closely with simulation engineers to integrate data science models effectively into simulation frameworks.
- Drive research and development efforts to advance model capabilities and expand application domains.
- Mentor junior colleagues, providing technical guidance to support their growth.
- Lead transparent communication and presentations with both internal technical teams and clients, facilitating onboarding and collaborative development.
- Represent PhysicsX as a technical expert by traveling internationally (2-3 weeks quarterly) to customer sites for close collaboration and solution development.
Required Qualifications and Skills
- Master’s or PhD degree with subsequent practical industry experience.
- Strong foundation in data-driven modeling, deep learning, probabilistic methods, and predictive analytics.
- Proficiency in Python programming, with hands-on experience utilizing libraries such as NumPy, SciPy, Pandas, TensorFlow, and PyTorch.
- Proven track record in architecting and deploying scalable, production-quality models and data pipelines.
- Technical leadership capabilities including ownership of complex projects and mentoring team members.
- Excellent communication skills for interaction with technical teams and clients.
Additional Information
PhysicsX is committed to diversity and equal opportunity employment irrespective of gender, race, religion, ethnicity, nationality, disability, age, sexual orientation, or gender identity. The company actively encourages applications from underrepresented groups in technology and sponsors talented female students in science and mathematics programs. Diversity and inclusion data is collected confidentially to monitor policy effectiveness and does not affect recruitment decisions.
Minimum education
Master's Degree