Materials Data Scientist – Innovation & Modelling in Stone

Materials Data Scientist – Innovation & Modelling in Stone

Stone Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Lucideon group limited

At a Glance

  • Tasks: Bridge materials science with data analytics and machine learning to drive innovation.
  • Company: Lucideon, a leader in materials science and innovation.
  • Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
  • Other info: Collaborative environment with exciting projects and career advancement.
  • Why this job: Make a real impact in diverse industries like aerospace and healthcare.
  • Qualifications: Experience in materials science, data analysis, and machine learning.

The predicted salary is between 60000 - 80000 Β£ per year.

Lucideon is seeking a Materials Scientist – Data Development on-site in Stone to bridge materials science with data analytics, modelling and machine learning. You will extract insights from experimental and historical datasets to drive materials development, process optimisation and performance improvements across aerospace, healthcare, energy and manufacturing.

You will collaborate with cross-disciplinary teams, collect and analyse data from testing and development activities, and apply ML.

Materials Data Scientist – Innovation & Modelling in Stone employer: Lucideon group limited

Lucideon CICS Ltd. is an excellent employer that prioritises employee well-being and professional growth within a collaborative work culture. Located in Stoke-on-Trent, the company offers a permanent position with a balanced 37-hour work week, private medical insurance, and generous annual leave, making it an ideal place for those seeking meaningful and rewarding employment while enhancing their skills in finance and administration.

Lucideon group limited

Contact Details:

Lucideon group limited Recruitment Team

We think you need these skills to ace Materials Data Scientist – Innovation & Modelling in Stone

Materials Science
Data Analytics
Modelling
Machine Learning
Data Extraction
Process Optimisation
Performance Improvement