Requirements
Must have:
- A degree in Mathematics, Physics, Engineering, Computer Science, Data Science or a related STEM discipline (or equivalent experience) - Strong programming skills, particularly in Python - Excellent problem-solving and analytical thinking - High attention to detail with the ability to manage work independently - Strong communication skills and confidence working in cross-functional teams - Industry or postgraduate experience in machine learning and/or statistical modelling (desirable) - Probabilistic programming and time-series forecasting (desirable) - Experience within additive manufacturing, particularly Laser Powder Bed Fusion (desirable) - Investigating and reducing variation in production or manufacturing environments (desirable) - Interest in high-performance applications such as aerospace, precision engineering or advanced electronics (desirable)
Responsibilities:
- Developing and maintaining statistical and ML models to analyse machine and material performance data - Building and refining data pipelines to post-process experimental and operational data - Collecting experimental data and owning frameworks that track performance over time - Collaborating with testing engineers to design robust experiments and ensure high-quality training data - Working with software engineers to embed modelling outputs into internal tools and platforms - Communicating insights clearly to ensure your work delivers tangible value across the business
Company:
We are looking for a Data & Statistical Modelling Engineer to join our highly collaborative Innovation Services team at our dedicated R&D facility. In this role, you will develop statistical and machine-learning models to understand and predict variation in advanced manufacturing processes, directly influencing production reliability, quality, and performance. You will encounter real-world, high-impact engineering challenges, and we offer an environment that supports your growth and professional development.