Data scientist Work, Jobs in Tunstall, Sts (with Salaries)

Materials Scientist – Data Development
Lucideon —Stone
- Full-time
- Data analysis skills
- Master's degree
- Analysis skills
Quick apply
1d
Lead Data Scientist, Sports
bet365 —Stoke-on-Trent
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Commercial Data Scientist
PortSwigger —Knutsford
- Full-time
- Sales
- SQL
- Maths
Quick apply
Data Scientist (Credit Risk)
Radius Limited —Crewe
- Full-time
- Hybrid work
- SQL
- Python
Quick apply
Senior Data Scientist
Informed Solutions —Altrincham
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Gym membership
- Referral programme
Quick apply
Lead Data Scientist
Informed Solutions —Altrincham
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Gym membership
- Referral programme
Quick apply
Principal AI and Machine Learning Software Engineer
Waters Corporation —Wilmslow
- Doctoral degree
- Computer Science
- System design
13d
Senior Engineer - Machine Learning Operations (MLOPS)
Royal London —Alderley Edge
- Hybrid work
- Azure
- SQL
- Machine learning
- Annual leave
9d

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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

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data scientist jobs in tunstall, sts

Materials Scientist – Data Development

Lead Data Scientist, Sports

Commercial Data Scientist

Data Scientist (Credit Risk)

Senior Data Scientist

Lead Data Scientist

Principal AI and Machine Learning Software Engineer

Senior Engineer - Machine Learning Operations (MLOPS)

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