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Principal Data Scientist / Algorithm Engineer

PhysicsX· Delivery
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Hybrid (Singapore)full-timePosted 9mo ago

About the role

Principal Data Scientist (Algorithm Engineer) in Delivery with strong data science, deep learning, and production-grade modelling experience. Leads technical initiatives, mentors others, collaborates with customers and cross-functional teams to embed AI models into physics-driven engineering tools and simulations. Travel to customer sites roughly 2-3 weeks per quarter.

Responsibilities

  • Leading pre-processing and analysis of complex data to prepare it for predictive modelling, establishing best practices and methodologies for the team.
  • Architecting and developing innovative deep learning models 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 robustly 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, collaborating closely with customers on site.

Qualifications

  • Experience as a senior data scientist or technical lead with a commercial/industry background (post Master’s or PhD).
  • Strong foundations in data-driven modelling and deep learning techniques, with hands-on experience in probabilistic methods and predictive modelling.
  • Expertise in Python and libraries such as NumPy, SciPy, Pandas, TensorFlow, and PyTorch.
  • Ability to architect and deploy scalable, production-ready models and data pipelines.
  • Track record of leading and mentoring teams, owning complex data science work streams, and delivering practical solutions.

Skills

Required:Data pre-processing and exploratory data analysisDeep learning model developmentProbabilistic methodsProduction-grade data pipelinesPythonNumPy/SciPy/PandasTensorFlow / PyTorchTechnical leadershipCustomer collaboration
Last updated Sep 23, 2026. Interested? Apply on the company site.

About PhysicsX

Accelerating Industrial Innovation with AI

PhysicsX is deploying AI to transform how physical systems are engineered, embedding intelligence across the entire product lifecycle, from concepting and design to manufacturing and operations.

AIIndustrial InnovationDesignManufacturingOperationsAI ToolsProduct Lifecycle
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