5 of 5 Exploratory Analysis Jobs in London

identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and More ❯

identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and More ❯

term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2. Key Responsibilities Translate business questions into data science problems and analytical workflows Conduct data wrangling, exploratory analysis, and hypothesis testing Develop statistical models and predictive tools for decision support Create compelling data visualizations and dashboards for business users Present findings and recommendations to non More ❯

role. We need a "full-stack" data scientist who can own the end-to-end ML lifecycle. You will take your ideas from initial Proof of Concept (POC) and exploratory analysis all the way through to building, deploying, and maintaining production-ready models, collaborating closely with our Machine Learning Engineers. We work together. Your team and the people … approaches within the team. Required Skills and Experience Proven experience (e.g., 3-5+ years) in a data scientist role, tackling complex, high-impact business problems like customer behaviour analysis, segmentation, or commercial value modelling. A deep understanding of machine learning theory and practical application (e.g., regression, classification, clustering, time-series forecasting, survival analysis). Solid object-oriented More ❯

drive impact end-to-end through the product development life cycle. The product growth analyst role is embedded within product teams and requires using a mix of skills including analysis, product ideation, and cross-functional collaboration. Success in the role is tied directly to product goals and the team rewards results-based performance. The Growth practice was started right … the world. Responsibilities Lead growth strategy across a large product area and drive cross-team alignment Drive long term growth of Meta Inc products through a combination of data analysis, product ideation, and experimentation to optimize product experiences Understand trends in user behavior and product usage to influence growth strategy Identify opportunities to drive growth and prioritize them to … towards common product goals Experience working with and influencing multi disciplinary product teams consisting but not limited to software engineers, designers, product managers and data scientists Proficiency in quantitative analysis geared towards drawing actionable insights from complex datasets Experience performing exploratory analysis with minimal direction to answer ambiguous open ended questions Experimentation experience to design multivariate tests More ❯