13 of 13 Experimental Design Jobs in the UK excluding London

work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Media Measurement and Data Solutions products. This includes data analysis, design of statistical and machine learning model methodologies and codebases, and model validation. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and … interpret large data sources independently. Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more). Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and More ❯

work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Media Measurement and Data Solutions products. This includes data analysis, design of statistical and machine learning model methodologies and codebases, and model validation. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and … interpret large data sources independently. Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more). Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and More ❯

role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is not available for remote working Skills: Agility core practices, Analytical Thinking, Creating new methodologies, Experimental Design, Formulated product testing, Formulation Deployment, Formulation design, Intellectual Asset Management, Multi-physics modelling, Presenting, Product Development, Product Sustainability Performance Management, Raw materials knowledge, Research More ❯

role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is not available for remote working Skills: Agility core practices, Analytical Thinking, Creating new methodologies, Experimental Design, Formulated product testing, Formulation Deployment, Formulation design, Intellectual Asset Management, Multi-physics modelling, Presenting, Product Development, Product Sustainability Performance Management, Raw materials knowledge, Research More ❯

role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is not available for remote working Skills: Agility core practices, Analytical Thinking, Creating new methodologies, Experimental Design, Formulated product testing, Formulation Deployment, Formulation design, Intellectual Asset Management, Multi-physics modelling, Presenting, Product Development, Product Sustainability Performance Management, Raw materials knowledge, Research More ❯

and data storytelling to identify 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 and maintain dashboards and tools to More ❯

sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation & Deployment: APIs/microservices, Git/GitHub, Docker (Kubernetes advantageous) Other: Experimental design (A/B testing), data governance, ethical AI Experience That Helps 610+ years in data science/data engineering with tangible productisation or algorithm development. Proven More ❯

other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification: To excel as … independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical … of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and More ❯

and maintain a roadmap that aligns scientific value, regulatory reality, and technical feasibility. Own product outcomes after release – track impact and iterate to maximise value. Discovery and scientific design Partner with application and research scientists to map end-to-end scientific workflows, data needs, and decision points across pharma and chemical safety. Translate scientific problems into well shaped … work. Evidence of using metrics and user insights to drive decisions Desirable Professional experience in the pharmaceutical or chemical industries and familiarity with how science is performed in practice – experimental design, data interpretation, and peer review. Experience with regulatory concepts relevant to chemical safety and pharma workflows – e.g., how guidance like ICH M7 influences user needs and More ❯

and maintain a roadmap that aligns scientific value, regulatory reality, and technical feasibility. Own product outcomes after release – track impact and iterate to maximise value. Discovery and scientific design Partner with application and research scientists to map end-to-end scientific workflows, data needs, and decision points across pharma and chemical safety. Translate scientific problems into well shaped … work. Evidence of using metrics and user insights to drive decisions Desirable Professional experience in the pharmaceutical or chemical industries and familiarity with how science is performed in practice – experimental design, data interpretation, and peer review. Experience with regulatory concepts relevant to chemical safety and pharma workflows – e.g., how guidance like ICH M7 influences user needs and More ❯

Fellowship, in the Manchester Centre for AI Fundamentals. We are particularly interested in developing new machine learning for research, which involves AI4Science and for health, sequential decision making and experimental design under uncertainty, and collaborative AI. Machine learning keywords include Bayesian inference, distribution shifts, generative modelling, human-in-the-loop learning, privacy-preserving learning, reinforcement learning, inverse More ❯

and business teams - uncovering user behaviour, identifying opportunities, and driving strategy with actionable insights. You will: Leverage quantitative analysis and data storytelling to inform product decisions. Generate hypotheses, design experiments, and champion a culture of continuous learning. Define and align key metrics across teams, ensuring data accuracy and consistency. Build and maintain self-serve data tools and dashboards More ❯

In this role, you'll lead the development of data-driven solutions to support marketing strategy using techniques such as machine learning, causal inference, Marketing Mix Modeling (MMM), and experimental design. You'll work closely with marketing teams and external partners to analyse customer behaviour, optimise marketing performance, and deliver impactful business recommendations. Key Responsibilities: Lead end-to-end … data science projects to improve marketing efficiency and ROI. Develop models for MMM, customer lifetime value, churn prediction, and channel attribution. Partner with stakeholders to design and evaluate marketing experiments. Create dashboards and data products for self-serve analytics and real-time insights. Ensure high standards in data quality, model governance, and documentation. Mentor and support junior team More ❯