13 of 13 Permanent Experimental Design Jobs in London

data science and AI solutions across a diverse business portfolio. The team applies expertise across areas including: Analysis of operational and production asset data Experimental design and analytics to support R&D and product development Financial modelling and forecasting AI software development and digital solution design … technical leadership within broader programmes Integrate AI and data science thinking into digital and software development projects Advise on tool development and digital design improvements Translate complex analytics into actionable business insight Engage and collaborate with stakeholders across multiple business functions globally Candidate Profile Hold a Master ...

growth models, recommendation systems, gradient boosting & ensemble methods, NLP/text analytics, time-series forecasting, & generative AI use cases Monitor model performance and design experiments tied to clear hypotheses Translate ambiguous business questions into measurable, actionable solutions Coach and mentor junior data scientists, raising the bar on technical ...

end-to-end intent classification and agentic learning architectures. Lead decisions on model selection, training strategies, evaluation methodologies, and scaling approaches. Establish experimental rigor and reproducibility standards. Lead RLHF & Alignment Research Design reinforcement learning pipelines for optimizing agent behavior. Define reward modeling strategies and alignment … Production Pipeline Ensure research outputs meet production-level reliability and latency standards. Partner with engineering teams on model integration, optimization, and deployment. Bridge experimental research with scalable infrastructure systems. External Research Engagement Author internal technical papers and contribute to external publications where appropriate. Represent the organization at conferences, workshops ...

updating customer and revenue forecasts (e.g. subscribers, churn, engagement) Help track performance and support scenario analysis for acquisition and retention initiatives Support the design, analysis, and reporting of A/B tests across the customer lifecycle Help define success metrics and interpret test results to inform future activity … strong academic background in Mathematics, Statistics, Computer Science, or a related quantitative field, with a deep understanding of statistical significance, hypothesis testing, and experimental design (A/B testing). Core Technical Skills: Good working knowledge of SQL for data extraction and analysis (experience with Google BigQuery ...

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 ...

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 ...

Python, JavaScript, or similar technical stack) Experience integrating hardware + software and working with real-world operational workflows Strong analytical mindset, able to design experiments, evaluate results, and iterate quickly Cross-functional collaboration skills with product and delivery teams International project experience and ability to drive localization ...

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 ...

developing patient facing agentic AI systems. You'll work closely with the Clinical and Product teams to operationalize production-grade agentic workflows, design experiments, and rigorously evaluate model performance to ensure impact and safety. You'll build voice based intake workflows, patient engagement systems, clinician-facing tooling … more. Responsibilities • Design and develop patient-facing agentic AI systems, including voice-based intake workflows, patient engagement tools, and clinician-facing applications • Build and deploy production-grade agentic workflows using LLMs, ensuring reliability, safety, and clinical appropriateness • Design experiments and rigorously evaluate model performance across accuracy ...

Analyse complex datasets to size opportunities, test hypotheses, and understand performance drivers. * Run pricing simulations and evaluate the commercial impact of proposed changes. * Design, execute, and assess trials using robust analytical techniques. * Translate technical findings into clear, actionable recommendations for senior stakeholders. * Collaborate with Product, Tech, Operations … large datasets. * Experience with BI tools such as Tableau, Power BI, or Looker. * Exposure to Python or R for analytical workflows. * Ability to design experiments and work with methods such as A/B testing or multivariate testing. * Skilled at breaking down complex questions, applying pragmatic approaches ...

Product — the solo product lead today, with a Product Designer reporting to you. You’ll own the roadmap, ship high-impact SDK features, design pilots, build repeatable product processes and recruit our first PM. You’ll work closely with Sales/CS/Engineering and be the product …/60/90 onboarding. Line-manage the Product Designer and set core product rhythms (1:1s, planning cadences). Experimentation & measurement (15%) Design experiments that measure monetisable outcomes (conversion, pilot → paid, ARR influence). Own hypothesis, experiment design and go/no-go decisions. Partner ...

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions … integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices, including ...

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions ...