13 of 13 Exploratory Analysis Jobs in the UK excluding London

build, and maintain secure, scalable backend services and REST APIs that enable metric consumption and power the user interfaceDefine and validate metric logic, perform exploratory and trend analysis, and translate findings into compelling dashboard narratives that inform engineering decisionsPartner with engineering teams, leaders, and stakeholders to align … query optimizationDemonstrated engineering practices including CI/CD pipeline implementation, automated testing, and code review standardsAnalytical capability to develop and validate metrics — including exploratory analysis, cohort and trend analysis, and anomaly detection — and translate results into clear visual narrativesEffective communication and stakeholder partnership skills, with the ability ...

degree in Data Science, Mathematics, Statistics, Computer Science or another quantitative discipline Experience working through the full data science lifecycle, from problem definition and exploratory analysis through to implementation and monitoring Strong analytical thinking and the ability to identify the story behind the data Confidence communicating findings … Developing predictive models, forecasting solutions and analytical tools using Python and SQL Investigating business performance to uncover key drivers, risks and opportunities Translating complex analysis into clear, actionable recommendations Maintaining and enhancing Power BI reporting and dashboards used across Operations Collaborating with Data, Technology and Operations teams to deploy ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills Experience applying data and analysis to real‐world business, engineering or operational problems. Strong analytical problem‐solving skills, with the ability to take an initially ambiguous question and determine ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills Experience applying data and analysis to real‐world business, engineering or operational problems. Strong analytical problem‐solving skills, with the ability to take an initially ambiguous question and determine ...

data architectures by contributing analytical requirements and feedback. Communicate analytical findings clearly to non-technical stakeholders to inform strategy and operational improvements. Conduct exploratory analysis and limited prototyping to evaluate emerging data techniques relevant to training analytics. Ensure analytics processes comply with security, governance, and regulatory requirements. Author … security principles, governance frameworks, and MOD compliance standards. Strong SQL skills for querying and manipulating structured datasets. Proficiency in Python or R for statistical analysis, data wrangling, and automation. Experience building dashboards and visualisations using Power BI, Tableau, or equivalent BI tools. Advanced Excel skills for analytical modelling ...

business outcomes. Engineer new predictive features that can be incorporated into pricing algorithms. Take ownership of projects across the full machine learning lifecycle, from exploratory analysis through to deployment and monitoring. Collaborate with Data Scientists, Data Engineers, Analysts, and business stakeholders to deliver commercial value. Explore emerging machine ...

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 Senior Principal DSX Data Scientist ...

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 ...

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 ...