1 to 25 of 31 Permanent 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 ...

Description Job Title: Product Analyst Your new rol e We're looking for a commercially minded Product Analyst with experience in product analytics, data analysis, or a similar insight-led role, ideally gained in a fast-paced, data-driven business. As a Product Analyst in Global's DAX Product … Product Owners, Engineers, Operations, and commercial stakeholders across DAX. This is not a purely reporting-led role. You'll turn ambiguous questions into clear analysis, investigate trends and anomalies in product, operational, and commercial data, and provide evidence-based recommendations that inform product discovery, prioritisation, strategy, and OKRs. ...

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 ...

reliability. Build intuitive visual analytics: Design, deploy, and maintain dynamic BI dashboards and reports to present clear data health insights to key stakeholders. Perform exploratory analysis: Utilize SQL and BI software to investigate datasets, discover underlying patterns, and resolve complex data quality challenges. Drive process automation & AI integration … teams to align data quality standards with business needs. Conduct root-cause investigations: Address ad-hoc stakeholder inquiries and deliver swift, accurate data analysis to support operational decision-making. Experience & Background 1–2 years of hands-on experience in a data-focused role or internship (e.g., Data Analysis ...

willingness to learn it's component parts. Technically, we are looking for solid Python, sound ML and statistical foundations, and good data analysis skills. Familiarity with software engineering practice, cloud ML (Azure in our case) and MLOps is a plus, and the team will invest in developing these through … review and hands-on project work.# **Duties and Accountabilities****Delivery of data science products*** Deliver well-scoped data science projects, from data preparation and exploratory analysis through model development and validation. Working with team to deliver to production.* Take on increasing ownership of the full lifecycle over time ...

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 ...

technologies and MLOps. Previous production experience is not essential, as training and development will be provided.Key Responsibilities• Deliver data science projects covering data preparation, exploratory analysis, model development and validation.• Contribute to the deployment and ongoing monitoring of machine learning models.• Take increasing ownership of the full model ...

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 ...

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 ...

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 ...

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 ...

MLOps. Previous production experience is not essential, as training and development will be provided. Key Responsibilities Deliver data science projects covering data preparation, exploratory analysis, model development and validation. Contribute to the deployment and ongoing monitoring of machine learning models. Take increasing ownership of the full model lifecycle. ...

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 ...

maintenance & improvements, implementing new solutions and longer-term strategic enhancements to our Business Platform. The ideal candidate will be an expert in business application analysis and development, having worked with a wide range of enterprise-grade software platforms, including Salesforce. You will work within the Business Platform Team … Manage various backlog of requirements and needs and help map dependencies and understand competing priorities across the portfolio of work Use industry standard business analysis principles and tools to define requirements and processes that align with project goals Lead small-to-medium-sized projects in an internal consultancy capacity ...

maintenance & improvements, implementing new solutions and longer-term strategic enhancements to our Business Platform. The ideal candidate will be an expert in business application analysis and development, having worked with a wide range of enterprise-grade software platforms, including Salesforce. You will work within the Business Platform Team … Manage various backlog of requirements and needs and help map dependencies and understand competing priorities across the portfolio of work Use industry standard business analysis principles and tools to define requirements and processes that align with project goals Lead small-to-medium-sized projects in an internal consultancy capacity ...