8 of 8 Experimental Design Jobs in London

exposure in the fields of Biostatistics and Data Science. Our Biostatistics department contributes throughout drug development and supply, supporting scientists and clinicians in the areas of medicine discovery, design and … analysis of clinical trials, as well as non-clinical activities ensuring the quality and safety of products delivered to patients. We do this by providing statistical advice on the experimental design of studies or clinical trial design (e.g. sample size, randomisation scheme etc.), performing statistical analysis and interpretation of results, providing quantitative support to translational … Innovation Hub (SDS-IH), a methodologically focused, solution-oriented functional group within GSK's Biostatistics department. Key Placement Learnings Work in close consultation with professional statisticians to advise on experimental design of studies or clinical trial design (e.g. sample size, randomisation scheme). Collaborate with cross-functional teams to translate scientific or clinical problems into More ❯

MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model training and More ❯

testing, and improving AI agents, with a strong emphasis on generative AI and large language models (LLMs). You will work closely with engineers and technical leads to design experiments, refine prompts, and ensure robust system performance. Responsibilities: Develop and refine test prompts to optimise AI agent behaviour. Debug and implement agent tool calls within a Python/ 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 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 ❯

investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities - You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. - You design experiments and define the science approach to solve … work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. - You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. - You provide a system-wide view and design More ❯