13 of 13 Experimental Design Jobs in the UK excluding London

would suit a scientist-turned-coder or scientific data scientist with strong Python skills, statistical modelling experience and a background working with bioassay or experimental biology data. The Role You will build and improve Python-based analytical pipelines for diverse bioassay datasets, including biochemical, biophysical and cell-based assays. … will work closely with wet-lab scientists to understand assay logic, experimental design and data handover processes, then translate those workflows into automated, reproducible analysis pipelines. The work will involve dose-response modelling, curve fitting, QC, normalisation, plate-level statistics and data validation, helping scientists generate clearer ...

Aerospace in Luton is a world leader in commercial and military ice protection systems and transparencies. Offering a full range of capabilities; design, analysis, testing, certification and manufacture of electro-thermal ice protection, military fast jet canopies and flight deck windows to over 20 programmes including: Boeing … demonstrate strategic thinking. Working knowledge of aerodynamics and an appreciation of physics based modelling approaches for thermodynamic analysis. Experience of test/experimental design, and practical execution in laboratory or test facility conditions to defined standards, and be able to contribute to the development of new test ...

will take ownership of analytical pipelines that sit at the heart of a data-driven research platform, collaborating closely with scientists to turn complex experimental data into reliable, scalable insights. The Company They are a technology-led life sciences organisation operating at the intersection of biology, automation, and data. … scientists to solve complex research challenges. The Role and Deliverables Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data. Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting. Translate scientific workflows into reproducible, automated analysis processes. ...

approaches to improve model performance Working with complex datasets, including behavioural and network-based structures Evaluating and comparing ML model performance using robust experimental design Incorporating academic research and theory into practical model architectures Designing and testing how model outputs can be applied to real business problems … complex ideas to both technical and non-technical audiences A self-directed mindset-you explore, test, and drive ideas forward independently Strong documentation and experimental discipline Creativity in applying scientific or mathematical theory to real datasets Nice to have Experience building production-ready ML systems Background in marketing effectiveness ...

science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.## **Your Role**Capgemini Invent is the digital innovation, design and transformation arm of the Capgemini Group that helps CXOs envision and shape the future of their organisations.Within Invent, the Enterprise Data Analytics … of the following:* + Modelling, Simulation & Digital Twins + Optimisation + Machine Learning, Data Science and applied AI techniques* Solid grasp of statistical analysis, experimental design, and data visualisation.* Experience applying AI or advanced analytics in operational or asset‐intensive environments.* Ability to communicate complex technical concepts ...

backing and a clear product roadmap, they are focused on responsibly augmenting human data with advanced machine learning and synthetic intelligence. The Role Design, build, and deploy Generative AI and LLM-based solutions for synthetic data generation and data augmentation Develop and validate statistical and machine learning methodologies … Generative AI and Large Language Models in production environments Deep knowledge of NLP, text generation, and modern machine learning techniques Excellent grounding in statistics, experimental design, and model validation Expert Python skills within a data science or machine learning stack, plus strong SQL Experience working with large ...

Scientist - Contract £700-£850 per day | Inside IR35 | Hybrid (1 day per week London) We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments. This role sits at the intersection of analytics, risk, and decision science … modelling Experience in threat detection/anomaly detection, such as fraud, compliance, safety, or security use cases Strong grounding in statistics, hypothesis testing, and experimental design Experience working with large, complex, and messy data sets Experience in life sciences, healthcare, or other highly regulated sectors This ...

processes Develop robust process modules and produce clear, accurate process and project documentation Lead feasibility studies on new technology concepts and process changes, including experimental design, risk analysis, trial execution and constructional analysis Demonstrate expertise in key process engineering areas while maintaining strong all-round knowledge of … engineering activities across the organisation, applying your technical insight to drive continuous improvement This role offers the satisfaction of seeing devices progress from design to production, while making a tangible impact on Nexperia s future technologies. What you will need Essential requirements: Degree in a relevant engineering discipline ...

opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build ...

role working at the intersection of signal processing, machine learning, and physiology, translating real-world sensor data into clinically meaningful insights. Key responsibilities Design and implement signal processing pipelines to analyse non-invasive physiological data Develop algorithms … models to extract clinically relevant cardiorespiratory and haemodynamic metrics Analyse complex time-series data from wearable sensors, including noisy real-world signals Support experimental design and analyse data from internal testing and controlled clinical studies Collaborate with engineering, data science, and clinical teams to integrate algorithms into ...

user behaviour and product performance across key journeys Build dashboards and self-serve insights for cross-functional teams Support A/B testing: design experiments, interpret results, recommend next steps Work with data and platform teams to ensure clean, scalable datasets Present clear, actionable insights that influence product ...

role will be:* Development and application of advanced modelling, statistical methods to accelerate product innovation.* Improve ingredient and formulation understanding.* Owns design of experiments, predictive models, and learning cycles.* Drives data governance, data quality, and modelling infrastructure.* Ensures insights translate into faster, smarter technical decision-making* Developing solutions … areas such as product and process prediction with primary focus in Cocoa and Chocolate.* Guide teams on appropriate model governance, validation, and robustness.* Design experiments (DoE) and multivariate studies to generate high‐value datasets for modelling and scientific discovery.* Build hybrid mechanistic + data‐driven models to support ...

fast and building the right things, not just building things right. You’ll collaborate closely with product managers, designers, analysts and researchers to design experiments, validate ideas and identify which opportunities are worth scaling into full product capabilities. Why This Role Is Different You’ll work … building solutions that can influence product direction, we’d love to hear from you! What you’ll be doing day to day Design and build lean, high-impact prototypes to test hypotheses with real customers Run multiple experiments each quarter using approaches like fake-door tests, rapid prototypes ...