Materials scientist

Materials Scientist – Data Development
Lucideon —Stone
- Full-time
- Data analysis skills
- Master's degree
- Analysis skills
Quick apply
1d
Materials Scientist
Morgan Advanced Materials —Stourport-on-Severn
- Full-time
- Doctoral degree
- Laboratory experience
- University
Business Architect & Org Design Lead
AECOM —Birmingham
- Full-time
- Hybrid work
- Bachelor's degree
- No degree
- Leadership
Driver
Element Materials Technology —Cradley Heath
- Organisational skills
- Communication skills
- Employee discount
- Referral programme
9d
Work Winning Lead - Water
AECOM —Birmingham
- Full-time
- Hybrid work
- Analysis skills
- Leadership
Senior Pavement Engineer
AECOM —Birmingham
- Full-time
- Hybrid work
- Engineering

More jobs to discover

Find similar jobs that you might be interested in.

Materials Scientist
Morgan Advanced Materials —Stourport-on-Severn
Able to communicate with different departments, customers, suppliers, and service providers as required. To apply existing knowledge of materials and processes…
Materials Scientist – Data Development
Lucideon —Stone
Keep up to date with emerging developments in materials informatics, data science and machine learning. Collect, analyse and interpret data from materials…
Quick apply
1d

I want to receive the latest job alerts for materials scientist – data in darlaston, wmd

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Materials Scientist – Data Development

Lucideon -
Stone

Quick apply

Job details

Full-time
1 day ago

Qualifications

TensorFlow
PyTorch
NumPy
R
Data analysis skills
Master's degree
Analysis skills
Bachelor's degree
Machine learning
Agile
Mechanical knowledge
Python

Full job description

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.

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.

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!

Quick apply

Refine Your Search

materials scientist – data jobs in darlaston, wmd

Materials Scientist – Data Development

Business Architect & Org Design Lead

Driver

Work Winning Lead - Water

Senior Pavement Engineer

More jobs to discover

I want to receive the latest job alerts for materials scientist – data in darlaston, wmd

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected