23 of 23 Experimental Design Jobs in London

patterns across the customer lifecycle. Drive the ideation and execution of advanced testing methodologies (A/B testing, incrementality), helping mentor other analysts on experimental design best practices. Develop and maintain scalable dashboards and reporting tools, proactively optimising performance as data volume increases. Partner with Analytics Engineering … insightful and easy-to-digest dashboards and reports. Proficient with a programming language such as Python or R for data analysis. Strong understanding of experimental design and statistical testing methodologies. Excellent communication skills with the ability to translate complex analyses into clear, actionable business recommendations. Experience working ...

customers. The Middle Mile Science group develops optimization and machine learning systems that power Amazon's freight transportation network, from network design and pricing to real‐time load planning and capacity utilization. The scale of Amazon's fulfillment operations requires robust transportation networks that minimize cost while meeting … conferences Hands‐on experience with reinforcement learning and/or dynamic programming Experience working with AWS technologies Experience applying causal inference and/or experimental design to drive business decisions in large‐scale systems Amazon is an equal‐opportunity employer and does not discriminate on the basis ...

/Machine Learning Scientist in the Global Markets Division, you will be at the forefront of innovation on the trading floor. You will design and implement advanced machine learning models, including predictive AI, to uncover complex market trends and generate actionable insights. Leveraging cutting‐edge techniques, you will … databases (e.g., Neo4j, Amazon Neptune, ArangoDB) and knowledge graph construction, querying (e.g., Cypher, SPARQL), and utilization for feature enrichment. Strong understanding of statistical modeling, experimental design, and causal inference. Clear, critical thinking, concise writing skills, and excellent communication skills, with the ability to articulate complex technical concepts ...

/Machine Learning Scientist in the Global Markets Division, you will be at the forefront of innovation on the trading floor. You will design and implement advanced machine learning models, including predictive AI, to uncover complex market trends and generate actionable insights. Leveraging cutting‐edge techniques, you will … databases (e.g., Neo4j, Amazon Neptune, ArangoDB) and knowledge graph construction, querying (e.g., Cypher, SPARQL), and utilization for feature enrichment. Strong understanding of statistical modeling, experimental design, and causal inference. Clear, critical thinking, concise writing skills, and excellent communication skills, with the ability to articulate complex technical concepts ...

commercially relevant. Your Role Accountabilities... Own the end‐to‐end analytical approach for a flagship perception and influence measurement solution, from model design through to delivery. Design, run and evolve regression, multivariate and factor‐based models to identify and quantify the drivers of perception and influence. … effectiveness, brand measurement or advertising analytics. Familiarity with index construction, weighting frameworks or composite metrics. Experience working with large, multi-market datasets. Exposure to experimental design or causal inference approaches. #CCE Hybrid Working - This role is advertised as a Hybrid work model, that combines remote ...

algebra or calculus). Preferred qualifications Experience in C++ or broader programming. Experience in data engineering and visualization. Experience in large-scale system design and distributed systems. Strong communication skills, including experience in technical discussions, presentations, and research writing. A track record of building software, either in open … develop new architectures and algorithms, contributing directly to Gemini Diffusion research efforts. Validate the theoretical and practical impact of research at scale through experimental design, execution, and in-depth analysis. Advance the fundamental architecture, algorithmic design, and capabilities of large-scale diffusion models. Collaborate with ...

develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays … have worked in one of the top commercial AI research labs Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience ...

data science and machine learning Expert‐level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end‐to‐end data science solutions into production Leadership and mentorship capabilities ...

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 ...

across OpenAI’s products. Detect fraud, manipulation, and coordinated misuse. Evaluate and improve safety classifiers, rule systems, mitigation systems, and human review workflows. Design experiments and causal analyses to understand product, policy, and mitigation impacts. Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks. Diagnose gaps ...

technical lead for their assigned workstreams. While the role carries no line-management responsibility, the role holder holds authority over scope definition, methodology, experimental design, validation gating and continue/pivot/stop recommendations within assigned workstreams. The role sits within R&D with … trajectory to ensure alignment with company-level scientific and product strategy. Essential Duties and Responsibilities: Research, development and analytical validation Lead the design, development and assessment of innovative analytics approaches across MRI and PET imaging as well as adjacent CNS biomarkers from hypothesis through proof-of-concept ...

Anthropic), fintechs, scale‐ups, and major corporates. Skills & Qualifications Reading and implementing academic papers. Communication of complex technical concepts to non‐technical stakeholders. Rigorous experimental design and analysis. Comfortable with uncertainty and dead‐ends. Continuous learning across rapidly evolving methods. UK Salary Ranges UK AI/… production deployment, specialising in a domain (NLP, vision, recommender systems, time‐series). Senior ML Engineer/Senior Scientist – Lead the technical design of major ML systems; mentor a small group of engineers/scientists and own cross‐team ML strategy. Staff/Principal ML Engineer ...

gain hands-on experience working alongside senior researchers and industry experts in a collaborative environment. You will be involved in data collection, algorithm development, experimental design, and analysis, contributing directly to research outputs that have real-world applications. This role is ideal for fresh graduates ...

learning and deep learning methods. Hands‐on experience building agentic AI/multi‐agent systems within regulated or compliance‐driven environments. Ability to design experiments and training frameworks, outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, focusing on agentic systems ...

tractable data science and experimentation problems Conduct exploratory analysis, statistical modelling and hypothesis testing Build predictive and inferential models that drive real decisions Design and analyse experiments—A/B testing and causal inference Apply machine learning where it's the right tool, with a focus on insight … lead cross-functional initiatives What You'll Bring Technical Expertise: Strong Python (pandas, scikit-learn, statsmodels) and/or R Solid statistics—inference, experimental design and causal methods Machine learning—supervised and unsupervised methods and rigorous evaluation Strong SQL and comfort with messy, real-world data Experimentation ...

optimised within commercial products. Key Responsibilities Lead the company's sensing science and R&D strategy Manage and mentor multidisciplinary scientific teams Define experimental design and testing methodologies Guide sensor selection and performance evaluation Collaborate with engineering teams on sensor integration Work with data scientists to improve ...

Advanced SQL skills, including joins, aggregations, and window functions Experience using Python for analysis, automation, and reproducible workflows Experience with A B testing and experimental design Strong understanding of data modelling, KPIs, and performance measurement Experience building dashboards in Power BI or a similar BI tool Ability ...

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 ...

going above and beyond basic role requirements Python/R Mathematical background Desirable Dbt Data modelling in a warehouse context Understanding of testing and experimental design Some important stuff we would like you to know To meet our regulatory obligations as a licensed financial services company, Wise ...

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 ...

from multiple sources, and managing through data ambiguity – identify the most important data to use to define KPIs and priorities. Validate with evidence – Design experiments to validate hypotheses, including PoCs and prototypes to test desirability, feasibility, viability, and compliance; synthesize insights into clear recommendations. Define clear and measurable ...

stakeholders Demonstration of impact/going above and beyond basic role requirements Desirable DBT Data modelling in a warehouse context Understanding of testing and experimental design Legally authorised to work in the UK Please note that Wise does not provide visa sponsorship for this role. Applicants must ...

will partner with senior leaders to shape problem framing, measurement, and rollout of ML initiatives. You will translate partner needs into clear requirements, design experiments, and drive execution across multiple teams while maintaining rigorous documentation and post-launch learning to lift quality and business impact. #J-18808-Ljbffr ...