Principal Data Scientist / Algorithm Engineer

PhysicsX; Singapore; On-site; SGD 190,000 - 290,000; Full time

Job summary

PhysicsX Ltd. is seeking a Principal Data Scientist (Algorithm Engineer) in Delivery who can lead complex AI projects for engineering customers, often on-site, and translate cutting-edge models into practical tools.

You will mentor teams, design robust data pipelines, and collaborate with simulation and ML engineers to deliver reliable, production-ready solutions across industries. Travel 2–3 weeks per quarter to North America, Europe, Asia and Oceania to work closely with customers and

Qualifications

• Strong foundations in data-driven modelling and deep learning.
• Hands-on experience with probabilistic methods and predictive modelling.
• Ability to architect and deploy production-ready models and data pipelines.
• Experience leading technical initiatives and mentoring teammates.
• Willingness to travel on-site with customers.

Responsibilities

• Lead pre-processing and analysis of complex data for predictive modelling.
• Architect and develop deep learning models with state-of-the-art optimisation techniques.
• Ensure quality, accuracy and impact of work across the team.
• Design, build and test robust data pipelines for production use.
• Lead cross-functional collaboration with simulation engineers for seamless integration.
• Drive internal R&D and product development to expand modeling capabilities.
• Mentor junior team members and provide technical guidance.
• Lead customer-facing communications and co-develop on-site with clients.
• Represent PhysicsX as a technical authority during customer trips (2–3 weeks/quarter).

Skills

Python

Data-driven modelling

Deep learning

Probabilistic methods

Predictive modelling

Team leadership

Mentoring

Customer engagement

Education

PhD or equivalent

Tools

TensorFlow

PyTorch

NumPy

Pandas

SciPy

Job description

About us

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.

Who We’re Looking For

As a Principal Data Scientist (Algorithm Engineer) 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 embeds 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 industry experience (post Masters of PhD) in a commercial, 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.

This Role

In this role, you’ll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team.

You’ll build the foundations for successful, impactful solutions by:

• Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team.
• Architecting and developing innovative deep learning models in combination with state-of-the-art optimisation methods to predict and control the behaviour of physical systems.
• Taking full responsibility for the quality, accuracy and impact of your work and the work of your team.
• Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments.
• Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations.
• Driving internal R&D and product development, helping to refine models and identify new areas of application.
• Mentoring junior team members and providing technical guidance to help them grow.
• Leading open communication and presentations with both technical teams and customers, helping onboard users and co‑develop with customers.
• Representing PhysicsX as a technical authority when traveling 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.

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.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!

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. To help make a change, 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.