Data scientist Work, Jobs in Ashbourne, Dby (with Salaries)

Junior Materials Data Scientist
Lucideon —Stone
- Full-time
- Master's degree
- Analysis skills
- Bachelor's degree
Quick apply
Lead Data Scientist /Deep Learning Practitioner
Capital One UK —Nottingham
- Full-time
- Hybrid work
- In-person
- Analytics
- Work from home
Data Scientist Intern (PhD level)
Lubrizol —Hazelwood
- Doctoral degree
- Engineering
- Master's degree
- Free parking
- Annual leave
Data Scientist
Flint Bishop —Derby
- Full-time
- Analysis skills
- Bachelor's degree
- Machine learning
- Free parking
- Employee discount
Quick apply
Data Lead - FTC
KP Snacks —Ashby-De-La-Zouch
- Temporary
- Hybrid work
- PMP
- ERP systems
- Travel
- Flexitime
- Employee assistance programme
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Full Stack Engineer- Data Science Focus
Sperry Rail, Inc. —Derby
- Full-time
- Analysis skills
- Maths
- Machine learning
Quick apply
5d
Lead Data Scientist, Sports
bet365 —Stoke-on-Trent
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Research
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Full Stack Engineer, Data Science Focus with React
Sperry Rail, Inc. —Derby
- Full-time
- Presentation skills
- Machine learning
- Continuous improvement
Quick apply
5d

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Junior Data Scientist - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
Must hold a valid right to work status in the UK. Help maintain clean, reproducible project assets (code, notebooks, datasets, documentation) using modern…
Junior Materials Data Scientist
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

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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!

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data scientist jobs in ashbourne, dby

Junior Materials Data Scientist

Lead Data Scientist /Deep Learning Practitioner

Data Scientist Intern (PhD level)

Data Scientist

Data Lead - FTC

Full Stack Engineer- Data Science Focus

Lead Data Scientist, Sports

Full Stack Engineer, Data Science Focus with React

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