Data & analytics engineer Work, Jobs in Newcastle Under Lyme, Sts (with Salaries)

Junior Materials Data Scientist
Lucideon —Stone
- Full-time
- Master's degree
- Analysis skills
- Bachelor's degree
Quick apply
Data & Analytics Engineer
JCB —Rocester
- Full-time
- Communication skills
- Gym membership
Data and Reporting Engineer
The Hadleigh Timber Group —Stoke-on-Trent
- £50,000 - £55,000 a year
- Full-time
- SQL
- Continuous improvement
- Free parking
- Employee discount
Quick apply
Manufacturing Engineer
Rapiscan —Stoke-on-Trent
- Engineering
- Data analysis skills
- Analysis skills
Data QA Engineer
Capgemini Sogeti —Telford
- Hybrid work
- AI
Data QA Engineer
Capgemini —Telford
- Hybrid work
- AI
Data Engineer
PortSwigger —Knutsford
- Full-time
- AI
- Analytics
Quick apply
Site Reliability Engineer
bet365 —Stoke-on-Trent
- Full-time
- Hybrid work
- Software troubleshooting
- Mentoring
- Software development
- Work from home
Quick apply
7d
Manufacturing Engineer
OSI Systems, Inc —Stoke-on-Trent
- Engineering
- Data analysis skills
- Analysis skills
Release Train Engineer
Barclays —Knutsford
- Continuous improvement
- Leadership
- Analytics
Software Engineer, SRE
bet365 —Stoke-on-Trent
- Full-time
- Hybrid work
- Continuous improvement
- Mentoring
- Software development
Quick apply
Telematics Senior Engineer
JCB —Uttoxeter
- Full-time
- Continuous improvement
- Analytics
- Gym membership
Senior Data Product Owner
TELESOFT LLC DBA CALERO —Cannock
- APIs
- Analytics
Quick apply
AI Enterprise Architect
Barclays —Knutsford
- Machine learning
- Mentoring
- AI
Software Developer | Capital Markets
Marex —Nantwich
- Full-time
- AI
- Communication skills
Quick apply

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Junior Materials Data Scientist

Lucideon -
Stone

Quick apply

Job details

Permanent | Full-time

Qualifications

TensorFlow
Report generation
NumPy
Master's degree
Analysis skills
Bachelor's degree
Machine learning
Machine learning modelling
Data analytics
Agile
Data visualisation

Full job description

Annual salary: Competitive

This role would suit an early-career or developing materials scientist with an interest in data analytics, modelling and machine learning.

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

data & analytics engineer jobs in newcastle under lyme, sts

Junior Materials Data Scientist

Data & Analytics Engineer

Data and Reporting Engineer

Manufacturing Engineer

Data QA Engineer

Data QA Engineer

Data Engineer

Site Reliability Engineer

Manufacturing Engineer

Release Train Engineer

Software Engineer, SRE

Telematics Senior Engineer

Senior Data Product Owner

AI Enterprise Architect

Software Developer | Capital Markets

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