5 of 5 Exploratory Analysis Jobs

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 ❯

contribute to our experimentation and optimisation programme, helping to design and analyse tests to improve digital journeys. Working closely with product and senior stakeholders, you'll translate measurement and analysis into clear, compelling stories that influence strategy and shape the products we deliver. Key Responsibilities Customer Insights: Analyse digital customer behaviour to understand how users interact with our products … and Marketing teams to define success metrics, create forecasts, and contribute to team OKRs, ensuring progress is measured and communicated throughout the quarter. Experimentation: Support the design, implementation, and analysis of A/B and multivariate tests to validate ideas and optimise customer experiences. Exploratory Analysis: Carry out proactive and ad-hoc analysis across product areas 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 ❯

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 ❯