Data Engineer

As a Data & Statistical Modelling Engineer, you'll join a highly collaborative Innovation Services team, developing statistical and machine-learning models to understand and predict variation in advanced manufacturing processes.You'll work closely with process, materials and software engineers to identify and control key variables critical to scaling production across a growing fleet of additive manufacturing machines. Your work will directly influence production reliability, quality and performance., + 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 This role is based at a dedicated R&D facility and offers exposure to real-world, high-impact engineering challenges. Hybrid Working is available 2-3 days a week in the office depending on the project at the time.

You'll have a strong analytical background and enjoy applying data, statistics and modelling techniques to complex physical systems. You'll be comfortable working across disciplines and translating technical insight into practical outcomes.Essential experience includes:

• 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 Desirable experience includes:

• Industry or postgraduate experience in machine learning and/or statistical modelling

• Probabilistic programming and time-series forecasting

• Experience within additive manufacturing, particularly Laser Powder Bed Fusion

• Investigating and reducing variation in production or manufacturing environments

• Interest in high-performance applications such as aerospace, precision engineering or advanced electronics

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