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

Materials Scientist – Data Development
Lucideon —Stone
- Full-time
- Master's degree
- Analysis skills
- Bachelor's degree
Quick apply
Senior Data Scientist
RAC —Walsall
- Hybrid work
- Azure
- Engineering
- Machine learning
- Annual leave
- Flexible schedule
Senior Decision Scientist
Lovey —Birmingham
- £70,000 - £80,000 a year
- Full-time
- SQL
- Machine learning
- Python
Quick apply
Senior Consultant / Consultant - Geospatial and Data Analytics
Steer —Birmingham
- £35,000 - £45,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Annual leave
- Employee assistance programme
Quick apply
9d
Risk, AI Model Validation, Associate, Birmingham
Goldman Sachs —Birmingham
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Employee assistance programme
Based Video Analytics
Aston University —Birmingham
- £33,951 a year
- Part-time
- Hybrid work
- Computer Science
- University
- AI
- Annual leave
2d
AI Engineer
SCC —Birmingham
- Monday to Friday
- Hybrid work
- APIs
- AI
Data Lead - AI and Automation
Smiths Group —Birmingham
- Full-time
- Azure
- ERP systems
- Java
Quick apply
Senior Manager - Principal AI Engineer
KPMG —Birmingham
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Data Manager - Department of Applied Health Sciences - 107770 - Grade 5
University of Birmingham —Birmingham
- £30,062 - £35,883 a year
- Part-time
- Computer literacy
- University
- Data entry
- Annual leave
- Sick pay
3d
AI Developer (KTP Associate) - FTC 27 Months
University of Wolverhampton —Wolverhampton
- £41,064 - £48,822 a year
- Temporary
- Hybrid work
- Doctoral degree
- Computer Science
- Research
- Free parking
- Annual leave
Transaction Services, Deals Insights & Analytics – Senior Manager
Pwc UK —Birmingham
- Full-time
- Hybrid work
- Business development
- Team management
- Communication skills
8d

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Pricing, Data & Analytics Cohort
Hastings Direct —Leicester
25 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted…
3d

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Materials Scientist – Data Development

Lucideon -
Stone

Quick apply

Job details

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

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 scientist jobs in cannock, sts

Materials Scientist – Data Development

Senior Data Scientist

Senior Decision Scientist

Senior Consultant / Consultant - Geospatial and Data Analytics

Risk, AI Model Validation, Associate, Birmingham

Based Video Analytics

AI Engineer

Data Lead - AI and Automation

Senior Manager - Principal AI Engineer

Data Manager - Department of Applied Health Sciences - 107770 - Grade 5

AI Developer (KTP Associate) - FTC 27 Months

Transaction Services, Deals Insights & Analytics – Senior Manager

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