22 of 22 Remote/Hybrid Exploratory Analysis Jobs in England

with other internal and external data sources in Google BigQuery and Power BI to support Canon’s ITCG marketing, ecommerce and CRM team initiatives. Exploratory Analysis & Insights. Perform exploratory analysis using Python/R and SQL to uncover trends, anomalies, and business opportunities in ITCG digital … processes to ensure data accuracy and reliability before it's used in downstream systems and collaborate with IT on upstream changes required. Customer Journey Analysis & Optimisation Analyse customer behaviour across ECOM and Marketing B2C websites. Work with the ITCG ECOM and ITCG Content teams to identify friction points ...

high impact initiatives across areas such as credit risk, fraud prevention, customer engagement, and operational efficiency, helping the business make informed decisions through robust analysis, experimentation, and modelling. How you'll contribute: Build and iterate on statistical and machine learning models to solve business problems across areas such … common data science libraries, and follow engineering best practices appropriate for production systems. Use SQL and dbt to extract, transform, and validate data for analysis and modelling, ensuring traceability and reliability of outputs. Collaborate with Risk, Compliance, and Audit stakeholders to ensure data science work is appropriately governed, documented ...

with experience developing production-quality insightful, statistical, AI and machine-learning solutions.* Experience working with large, complex, structured and unstructured datasets, including data preparation, exploratory analysis, feature engineering and model validation.* Practical experience with Git, Agile delivery and collaborative software-development workflows.* Experience using distributed data-processing ...

with experience developing production-quality insightful, statistical, AI and machine-learning solutions. Experience working with large, complex, structured and unstructured datasets, including data preparation, exploratory analysis, feature engineering and model validation. Practical experience with Git, Agile delivery and collaborative software-development workflows. Experience using distributed data-processing ...

days per week. The Opportunity As a Data Scientist at Travis Perkins plc, you will have ownership of the full model lifecycle, from exploratory analysis and feature engineering to prototyping proofs of concept (POCs) and deploying automated production pipelines. What You'll Be Doing End-to-End Machine ...

Office 1–2 days per week.The OpportunityAs a Data Scientist at Travis Perkins plc, you will have ownership of the full model lifecycle, from exploratory analysis and feature engineering to prototyping proofs of concept (POCs) and deploying automated production pipelines.What You'll Be DoingEnd-to-End Machine Learning ...

expertise to market. The opportunity Tackle complex client challenges using mathematical modelling, machine learning and advanced analytics. Own the full analytical lifecycle, from exploratory analysis and model development through to testing, delivery and handover. Translate business problems into innovative, evidence-based analytical solutions. Communicate complex findings with clarity ...

costs, workload trends, and resource requirements. Apply clustering and anomaly detection to identify recurring intents, capability gaps, unusual agent behavior, and execution regressions. Conduct exploratory analysis, dataset preparation, feature engineering, hypothesis testing, and reproducible experiments. Foundation Models, Prompting & Context Engineering Evaluate commercial API and self-hosted open-weight ...

decision-making across the business or optimising processes for key business objectives; defining project expectations with internal or external stakeholders; or conducting deep‐dive exploratory analysis to inform strategic decision‐making. Throughout your work you would keep our customers as the focus of all analysis. Key Responsibilities Responsible … building, validating, optimising and managing basic models and data pipelines Responsible for relevant parts of the data science lifecycle including documentation and security considerations Analysis of diverse data using statistical methods to make recommendations to improve customer experience and business results Identify improvements in own work and develop ...

decision-making across the business or optimising processes for key business objectives; defining project expectations with internal or external stakeholders; or conducting deep-dive exploratory analysis to inform strategic decision-making. Throughout your work you would keep our customers as the focus of all analysis. Key Responsibilities - Responsible … building, validating, optimising and managing basic models and data pipelines - Responsible for relevant parts of the data science lifecycle including documentation and security considerations - Analysis of diverse data using statistical methods to make recommendations to improve customer experience and business results - Identify improvements in own work and develop ...

large-scale protein sequence and structural data. You will analyse natural, generated, and experimentally tested proteins using sequence and structural similarity, clustering, alignment, interface analysis, diversity selection, and other computational approaches. You will use these analyses to understand design space, select candidates for experimental testing, build rigorous evaluation datasets … strong programming ability with a deep understanding of protein sequence and structure, and is comfortable moving between internal research and client-facing scientific work, exploratory analysis, and robust implementation. About You Essentials You have a MSc, PhD or equivalent experience in computational protein engineering, or a closely related ...

into robust, scalable data products and machine learning models. You will be trusted to operate with high autonomy, owning your projects from the initial exploratory analysis through to production deployment. In this role, you will work closely with Product, Engineering, and Business stakeholders to deliver solutions that optimize … Economics, CS, Applied Math, etc.). Preferred Qualifications: 0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models ...

quality issues raisedthrough monitoring or stakeholder reports. Add and maintain data quality checks, tests and documentation for the pipelines in scope. Produce prototypes and exploratory analyses where requested, with direction from the FTEowner on scope and success criteria. Participate in code review and follow team conventions for version control ...

target mappings, logic flowcharts and business requirement documents (BRDs). Find the internal and external data sources each business need requires, and run exploratory analysis to surface data gaps and quality issues. Work closely with data engineers to design scalable pipelines, supplying the business logic and transformation rules. … morning, then LTV and churn-reduction strategy with executives in the afternoon. Expert SQL, plus Python or R for data exploration, validation and analysis, and working experience with dbt, Git or similar tools. Deep skill in visualisation, dashboard building and performance optimisation, with hands-on experience in Tableau, Mode ...

maintaining SQL/Python transformations that prepare data for pricing models, MI, and operational reporting. • Assisting analysts and pricing colleagues with bespoke data extracts, exploratory analysis, and insight generation. • Helping diagnose data or system issues affecting pricing, working with IT, partners, and internal teams to resolve root causes. ...

maintaining SQL/Python transformations that prepare data for pricing models, MI, and operational reporting.• Assisting analysts and pricing colleagues with bespoke data extracts, exploratory analysis, and insight generation.• Helping diagnose data or system issues affecting pricing, working with IT, partners, and internal teams to resolve root causes. ...

comfortable working with complex datasets, developing analytical workflows and engaging with business stakeholders to understand the decisions your work supports. You can move between exploratory analysis and production‐quality delivery, challenge assumptions, investigate ambiguity and remain accountable for whether your solutions are used and create value. … developing data products, analytical workflows or decision‐support solutions in Palantir Foundry or a comparable platform. strong capability in data modelling, transformation, integration and analysis, using technologies such as Python, SQL or equivalent tools. experience taking solutions from problem definition through development, testing, deployment and continuous improvement. ability ...

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 ...

work calls for it. Most of your impact, though, comes from the decisions upstream: how standards are applied across studies so an integrated analysis comes together cleanly, how CRO work is scoped and held to account, and how a submission package is built so it holds up under review. … peer to biostatistics, data management, medical writing and regulatory leads, and you'll be in the room early enough to shape a programme's analysis strategy rather than inherit it. Hybrid Based (3 days a week onsite) in Maidenhead Why It Matters A single well-programmed study is valuable. ...

happening, why it's happening and what could happen next. You'll combine analytical rigour with commercial judgement and strong stakeholder engagement, making sure analysis doesn't stop at an interesting finding. Your work will help people make better decisions, understand opportunities and risks, and take practical action. This … enjoys creating clarity from ambiguity. You'll work closely with senior stakeholders to understand the question behind the question, explore the data, develop robust analysis and communicate the \"so what?\" in a way that people can use. What we're looking for We're looking for someone ...

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 Significant experience as a Data Analyst, Senior Data Analyst, Data Scientist, Insight Analyst or equivalent analytical professional. Strong analytical ...

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. Essential Competence, knowledge and skills Significant experience as a Data Analyst, Senior Data Analyst, Data Scientist, Insight Analyst or equivalent analytical professional. Strong … analytical and problem-solving skills, including the ability to create clarity from ambiguous business questions. Advanced Python skills for data analysis and modelling, together with strong SQL capability. Practical experience applying statistical and data-science techniques to business problems, including several of forecasting, regression, classification, segmentation and propensity modelling. ...