Lucideon
Materials Scientist – Data Development
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Are you passionate about materials science and excited by the potential of data to transform how materials are designed, developed and optimised?
At Lucideon, we're looking for a Materials Scientist – Data Development to join our growing team. This is a unique opportunity to combine materials science expertise with data analysis, modelling and emerging machine learning techniques to solve real-world challenges across sectors including aerospace, healthcare, energy and advanced manufacturing.
Based on site in our state of the art facilities in Stone, Staffordshire, you’ll be working in a cutting-edge materials innovation environment, collaborating with materials scientists, engineers and data specialists to extract insights from experimental and historical datasets, helping to drive next-generation materials development, process optimisation and performance improvement. This role offers the chance to work at the forefront of materials science and data-driven innovation, while developing new skills, contributing to high-impact commercial projects and building a career in this rapidly evolving field.
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What You'll Be Doing
As a Materials Scientist – Data Development, you will:
- Collaborate with materials scientists, engineers and data specialists to solve technical challenges using data-driven approaches.
- Collect, analyse and interpret data from materials testing, characterisation and development activities.
- Apply data analytics, machine learning and computational modelling tools to identify insights and support materials innovation.
- Develop, validate and refine predictive models for materials design, process optimisation and performance improvement.
- Communicate technical findings through reports, data visualisations and presentations to a range of audiences.
- Keep up to date with emerging developments in materials informatics, data science and machine learning.
Essential Requirements
- BSc or MSc in Materials Science or a related discipline.
- Demonstrable experience in materials science gained through industry, research, academia or a similar environment.
- Knowledge of materials characterisation and analytical techniques such as: SEM, TGA, Rheology / Powder Rheology, DMTA, Mechanical testing methods.
- Understanding of data analysis principles
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- A passion for innovation and continuous learning.
- Applicants must be eligible to obtain and maintain UK Security Check (SC) clearance. Please note that security clearance eligibility may be subject to UK Government nationality and residency requirements.
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Desirable Person Requirements
- Experience applying machine learning techniques to scientific or engineering datasets.
- Knowledge of Python or R for data analysis.
- Familiarity with libraries such as: Scikit-learn, NumPy, TensorFlow, PyTorch.
- Experience with computational modelling or a willingness to learn tools such as COMSOL Multiphysics.
- Knowledge of advanced ceramics and their applications.
- Experience working within an agile project environment.
Apply today and help shape the future of materials innovation through data-driven science!
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