3 of 3 Experimental Design Jobs in Yorkshire

waste forecasting, customer segmentation, recommendation engines). Build feature sets and establish reusable data science pipelines and validation checks. Apply causal inference and experimental frameworks (A/B testing) to isolate true business impacts from baseline operational noise. Uphold strict compliance with data governance, privacy legislation, and ethical … trees). Advanced SQL: Excellent SQL skills to extract, transform, and profile large-scale datasets from cloud data marts. Causal Inference & Experimentation: Understanding of experimental design and causal inference methods to measure true trial interventions versus background trends. Data Storytelling & Visualisation: Ability to translate complex algorithmic outputs ...

reproducible device concept ready for follow‐on clinical evaluation. You will utilise your expertise in flexible electronics, additive manufacturing, printed sensors, instrumentation and experimental data analysis to optimise glove fabrication, carry out bench characterisation, support early usability assessments and contribute to user‐centred device refinement. The role also includes … investigators and collaborators. Carry out strategic planning over the duration of the project in conjunction with other project members, including planning and scheduling of experimental work and resource requirements. Carry out other duties, commensurate with the grade and remit of the post. Person Specification Our diverse community of staff ...

technical accuracy, logical consistency, and sound statistical reasoning. Provide structured, actionable feedback to improve AI model performance. Apply strong quantitative judgment when evaluating experimental designs, analytical methods, and data-driven conclusions. Communicate technical findings and statistical concepts clearly and precisely. Required Qualifications At least 1 year of professional experience … Qualifications Professional experience combining Python, machine learning, statistics, and data analysis . Experience with Pandas and other data science tools. Experience with experimentation and experimental design. Strong understanding of data modeling and quantitative methods. Experience developing analytical datasets or benchmark problems. Background in quantitative roles within technology, finance ...