26 to 36 of 36 Exploratory Analysis Jobs in the UK

action modelling to generate insight and improve customer decisions. Write production-quality code and review the work of data scientists and AI engineers, including analysis, model design, code, prompts and data pipelines. Establish robust approaches to data preparation, experimentation, validation and performance measurement, ensuring outputs are reliable, actionable … review and improve the code, analytical methods, model designs, prompts and pipelines produced by others. Data science and analytics fundamentals. Strong understanding of exploratory analysis, statistical methods, experimentation and machine learning, including experience developing, evaluating and deploying models. You know when traditional analytics or machine learning is more ...

aiming at the right things, that the numbers it relies on can be trusted, and that decisions get made on evidence. Your responsibilities Analysis and direction Use cohort and funnel data to work out how to maximise post-acquisition customer value Turn that analysis into specific recommendations … colleagues about who to contact, and why Use AI tools and automation where they help you reach an answer faster, particularly for exploratory analysis Maintain the framework the team uses to measure growth, and work out what the underlying dashboards need to show Forecasting and sizing Build ...

London seeks 2 Data Scientists to define, architect and lead delivery of ML/AI solutions. The roles cover the full data science lifecycle, exploratory analysis, and translating business problems into scalable model solutions for stakeholders. Successful candidates will run proofs of concept, develop and monitor models ...

large-scale datasets, and build models that drive real-world impact. What You Will Do Contribute to international FICO Scores projects through client data analysis, model development, model validation, and delivery activities. Design, develop, and evaluate state-of-the-art, data-driven exploratory analyses, predictive models, and decision … consumer lending, or credit bureau environments; familiarity with consumer credit risk, fraud risk, credit bureau data, or lending decisioning preferred. Strong programming and data analysis skills using languages or tools such as Python, R, C++, Java, MATLAB, or similar, with the ability to prepare, manipulate, analyze, and model large ...

Data Exploitation and Specialist Intelligence Department management team Skills required Minimum: Experiencing of managing and developing staff to deliver high-quality practical and exploratory analysis Experience of significant project delivery and oversight of acquisition and exploitation of intelligence data Experience of working in at least one of: intelligence … analysis (e.g., OSINT, SOCMINT), investigations, and/or financial services sector; of particular interest, in any of these areas, would be experience of economic or financial crime issues. Essential: Excellent communication skills, capable of delivering both strategic and tactical briefings to a range of stakeholders of differing seniority. Demonstrable ...

Health Data Science team and will contribute to the development of scalable, reusable, and well-documented resources that help researchers efficiently curate high-quality, analysis-ready data for their research projects. The post-holder will work with senior colleagues and researchers to identify common data curation challenges, develop solutions … reused across projects, and share good practice through code, documentation and guidance. These resources may include: Data dictionaries, dataset summaries and shared exploratory analyses and insights that help researchers understand the characteristics, quality and limitations of datasets and how they can appropriately be used on research projects. Coding tutorials ...

will work across the full lifecycle, from understanding stakeholder needs to communicating findings and delivering client-ready analytics, tools and forecasts. The role blends exploratory analysis with dashboards and repeatable data products. #J-18808-Ljbffr ...

workforce to deliver regulatory commitments across the portfolio. We identify, influence, and adopt industry-leading digital and automation solutions, develop analytical approaches to support exploratory analyses, and align statistical programming practices across both early- and late-stage clinical development. The Opportunity: The Analytical Data Science Programmer … contributor to the clinical study team, responsible for transforming statistical analysis plans into high-quality, traceable programming deliverables. This includes both static and dynamic outputs, such as tables, listings, figures, and interactive data visualizations or dashboards. The role involves creating and validating datasets in accordance with Study Data Tabulation ...

happening and assess what may happen next. The jobholder combines analytical rigour with commercial judgement, stakeholder engagement and strong written communication, ensuring that analysis results in practical business decisions. The kind of person we are looking for Curious, commercially minded and highly analytical. The successful person will be equally … stepping back to explain the so what? in plain language. Most importantly, they will create clarity from ambiguity, work at pace and turn analysis into decisions. Competence, knowledge and skills Essential Significant experience as a Data Analyst, Senior Data Analyst, Data Scientist, Insight Analyst or equivalent analytical professional. Strong ...

medical writers and regulatory colleagues as a peer, not a downstream resource reading protocols and SAPs early enough to shape how a study's analysis gets structured, then seeing that structure through to submission-ready SDTM and ADaM datasets, TFLs, and supporting documentation. Hybrid Based (3 days a week … ambiguity in a protocol before it becomes a data problem three months later, and making the judgment calls that keep a study's analysis both scientifically sound and audit-ready. What You'll Be Responsible For You'll lead end-to-end programming for your assigned studies in-house ...

medical writers and regulatory colleagues as a peer, not a downstream resource — reading protocols and SAPs early enough to shape how a study's analysis gets structured, then seeing that structure through to submission‐ready SDTM and ADaM datasets, TFLs, and supporting documentation. Hybrid Based (3 days a week … ambiguity in a protocol before it becomes a data problem three months later, and making the judgment calls that keep a study's analysis both scientifically sound and audit‐ready. What You'll Be Responsible For You'll lead end-to-end programming for your assigned studies — in-house ...