3 of 3 Remote/Hybrid Experimental Design Jobs in Central London

improve the key metrics. Who you are You hold a degree in mathematics, statistics, machine learning, or computer science. Rigorous with probability and statistics. Experimental design, causal inference. You reach for the right tool, and you know when a result is real. AI-native, ruthless on quality. … production and monitor it. We use Python for ML/AI services and TypeScript around it, on AWS and PostgreSQL. Statistics you can defend. Experimental design, causal inference, measuring the real effect of an action — not just correlations. You know when a result is real, when ...

working, and build the data products that make those answers repeatable and trusted. What You'll Do Marketing Measurement & Attribution Lead the design and build of Moneybox's marketing attribution framework Own incrementality testing: design experiments, define holdout groups, and translate results into actionable media planning … ensure martech data flows (AppsFlyer, Google Ads API, Meta Ads API, GCP, Mixpanel) are well-modelled, documented, and trusted Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases ...

technical accuracy, logical consistency, and sound statistical reasoning. Provide structured, actionable feedback to improve AI model performance. Apply strong quantitative judgment when evaluating experimental designs, analytical methods, and data-driven conclusions. Communicate technical findings and statistical concepts clearly and precisely. Required Qualifications At least 1 year of professional experience … Qualifications Professional experience combining Python, machine learning, statistics, and data analysis . Experience with Pandas and other data science tools. Experience with experimentation and experimental design. Strong understanding of data modeling and quantitative methods. Experience developing analytical datasets or benchmark problems. Background in quantitative roles within technology, finance ...