Data Engineer M/F/T
Role details
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Tech stack
Job description
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 dataBuilding and refining data pipelines to post-process experimental and operational dataCollecting experimental data and owning frameworks that track performance over timeCollaborating with testing engineers to design robust experiments and ensure high-quality training dataWorking with software engineers to embed modelling outputs into internal tools and platformsThis role is based at a
Requirements
dedicated R&D facility and offers exposure to real-world, high-impact engineering challenges.You'll have a strong analytical background and enjoy applying data, statistics and modelling techniques to complex physical systems. A degree in Mathematics, Physics, Engineering, Computer Science, Data Science or a related STEM discipline (or equivalent experience)Strong programming skills, particularly in PythonIndustry or postgraduate experience in machine learning and/or statistical modellingProbabilistic programming and time-series forecastingInterest in high-performance applications such as aerospace, precision engineering or advanced electronics