7 of 7 Exploratory Analysis Jobs in England

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 ❯

documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion-challenger tests; deliver insights with clear visuals and concise narratives. Data exploration & analysis : Perform exploratory analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow your More ❯

Job Profile Summary We are seeking an experienced Lead Finance Data Analyst with deep expertise in data analysis across finance processes within the insurance or financial services domain. As Lead Finance Data Analyst, you will play a critical role in enabling Chaucer's Transformation Office and supporting the rollout of the new data platform. You will be responsible for … operational efficiency. This role acts as a strategic interface between finance stakeholders and data delivery teams, ensuring that platform outputs are actionable, impactful, and continuously evolving. Key Responsibilities Data Analysis & Insight Design Conduct hands-on analysis across the end-to-end data flow to support the Finance transformation programme and data platform required outputs. Translate finance needs into … clear analytical requirements for the Data Platform and Analytics teams to develop scalable, repeatable reports. Build prototypes and exploratory analyses to validate use cases and guide development. Collaboration with Data Platform & Analytics Teams Work closely with Data Engineering and Analytics teams to define data structures, metrics, and visualisation requirements. Provide detailed specifications and feedback to ensure data products meet More ❯