21 of 21 Remote Predictive Analysis Jobs in the UK excluding London

key stakeholders, and see these visions through to implementation. Key Responsibilities Apply the data science product lifecycle principles to new projects (Design, exploratory data analysis, building, evaluation, deployment, monitoring and maintenance) Contribute to developing production data science models, monitoring their performance, and managing their lifecycle (retraining, optimising and upgrading … control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target More ❯

key stakeholders, and see these visions through to implementation. Key responsibilities ??Apply the data science product lifecycle principles to new projects (Design, exploratory data analysis, building, evaluation, deployment, monitoring and maintenance) ??Contribute to developing production data science models, monitoring their performance, and managing their lifecycle (retraining, optimising and upgrading … control and other IT delivery tools is required ??Understanding/identifying opportunity to apply machine learning knowledge to solve business problems ??Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target More ❯

key stakeholders, and see these visions through to implementation. Key responsibilities Apply the data science product lifecycle principles to new projects (Design, exploratory data analysis, building, evaluation, deployment, monitoring and maintenance) Contribute to developing production data science models, monitoring their performance, and managing their lifecycle (retraining, optimising and upgrading … control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target More ❯

Experience with VCS ??Experience with CI/CD ??Understanding/identifying opportunity to apply machine learning knowledge to solve business problems ??Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target More ❯

information at the right time. Other key responsibilities include: Service Performance Analytics: Delivering data-driven insights that help measure and improve IT service performance Predictive Analysis: Developing models to identify patterns and forecasting potential service disruptions before they occur, enabling proactive decision-making Reporting & Visualization: Creating and maintaining … and report on service management metrics, ensuring relevant teams have actionable information SQL & Data Management: Using SQL for data extraction and transformation, supporting deep analysis and reporting automation Genesys Analytics: Leveraging Genesys data to monitor and support decision-making around contact centre customer interactions Driving a Data-Driven Culture … Experience in using AI/ML models or statistical techniques to anticipate service performance trends Experience with data warehousing, data visualization tools and statistical analysis software Proficiency in tools such as PowerBI, Tableau, ServiceNow, SQL, Microsoft Excel (advanced level), Genysis, Zscaler (ZDX), Solarwinds and other monitoring tools Proven ability More ❯

Head of Data & Analysis is required by this globally recognised leader in their retail market as they embark on a transformation journey which places data at the heart of their customer-centric journey. You will lead the drive to evolve and modernise their insight and analytical decision-making across … then please contact me for a full job spec and detailed conversation. Snowflake SQL data platforms BI platforms, ideally Qlik Sense Retail/eCommerce Predictive analysis/data modelling AI/Machine Learning Please note, this requires two days per week onsite - only apply if this is something More ❯

who can navigate complexity, challenge thinking, and inspire confidence in a data-driven approach to marketing. You'll bring: 3+ years' experience in data analysis within marketing or digital analytics A track record of building and implementing measurement frameworks across multi-channel campaigns Strong skills in creating dashboards and … translate data into compelling narratives and actionable recommendations Strong communication skills and confidence in high-level stakeholder engagement Experience building forecasts, statistical models and predictive analysis A structured, organised approach to planning and delivery Gravitas and the ability to influence within complex matrix environments A team-first mindset More ❯

You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your role will also involve predictive analytics, root-cause analysis, risk management collaboration, and ensuring compliance with industry standards. Proficiency in tools like Power BI, SQL, and Python, along … performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and … and best practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability More ❯

with Verizon's Velocity Selling methodology. Using AI and advanced CRM tools, the Velocity Selling methodology boosts efficiency, productivity, and decision-making through automation, predictive analysis, and personalized customer approach. Providing you with a competitive edge and leverage to boost your own success and career growth. Sales recognition More ❯

yourself as a SME for Cyber Security within the organisation. Working very closely and building strong relationships with our Service Providers. Run advanced and predictive analyses and perform assessments based on the Mitre ATT&CK framework. Correlation monitoring using multiple SIEM technologies to ensure that the SOC achieves its More ❯

to join their team on a 4-month contract. As a Data Scientist, the project will involve analysing large volumes of customer data, building predictive models and algorithms to determine optimum pricing, and driving business decisions. This role is suitable for a candidate who enjoys working with large datasets … and has a strong understanding of predictive models and statistical analysis. Keen to speak to candidates who have the following: Advanced knowledge of Python programming language Experience with BigQuery big data platform This is a remote-based role, with occasional travel to the Manchester or Milton Keynes office. The More ❯

the customer’s mission and consistent with organisation objectives – to a wide range of complex, difficult problems. Experience in geographical information systems and in predictive and prescriptive analysis of geographical data would be a bonus. Security clearance: You must already hold the highest level of UK Government security More ❯

customer segments based on evolving behaviours and lifecycle stages. Monitor and optimise email deliverability, integrating third-party tools where needed to enhance automation. Data Analysis/Reporting Analyse CRM and Loyalty data to generate actionable insights that inform strategic decisions. Define and track KPIs for CRM and loyalty campaigns … delivering regular performance reports to stakeholders. Build dashboards to visualise campaign performance, segmentation metrics, and customer behaviour trends. Conduct cohort and predictive analyses to understand customer behaviour and mitigate churn risk. Stay informed on industry trends and best practices, recommending data-driven innovations. Loyalty Define and execute loyalty campaigns More ❯

customer segments based on evolving behaviours and lifecycle stages. Monitor and optimise email deliverability, integrating third-party tools where needed to enhance automation. Data Analysis/Reporting Analyse CRM and Loyalty data to generate actionable insights that inform strategic decisions. Define and track KPIs for CRM and loyalty campaigns … delivering regular performance reports to stakeholders. Build dashboards to visualise campaign performance, segmentation metrics, and customer behaviour trends. Conduct cohort and predictive analyses to understand customer behaviour and mitigate churn risk. Stay informed on industry trends and best practices, recommending data-driven innovations. Loyalty Define and execute loyalty campaigns More ❯

customer segments based on evolving behaviours and lifecycle stages. Monitor and optimise email deliverability, integrating third-party tools where needed to enhance automation. Data Analysis/Reporting Analyse CRM and Loyalty data to generate actionable insights that inform strategic decisions. Define and track KPIs for CRM and loyalty campaigns … delivering regular performance reports to stakeholders. Build dashboards to visualise campaign performance, segmentation metrics, and customer behaviour trends. Conduct cohort and predictive analyses to understand customer behaviour and mitigate churn risk. Stay informed on industry trends and best practices, recommending data-driven innovations. Loyalty Define and execute loyalty campaigns More ❯

customer segments based on evolving behaviours and lifecycle stages. Monitor and optimise email deliverability, integrating third-party tools where needed to enhance automation. Data Analysis/Reporting Analyse CRM and Loyalty data to generate actionable insights that inform strategic decisions. Define and track KPIs for CRM and loyalty campaigns … delivering regular performance reports to stakeholders. Build dashboards to visualise campaign performance, segmentation metrics, and customer behaviour trends. Conduct cohort and predictive analyses to understand customer behaviour and mitigate churn risk. Stay informed on industry trends and best practices, recommending data-driven innovations. Loyalty Define and execute loyalty campaigns More ❯

customer segments based on evolving behaviours and lifecycle stages. Monitor and optimise email deliverability, integrating third-party tools where needed to enhance automation. Data Analysis/Reporting Analyse CRM and Loyalty data to generate actionable insights that inform strategic decisions. Define and track KPIs for CRM and loyalty campaigns … delivering regular performance reports to stakeholders. Build dashboards to visualise campaign performance, segmentation metrics, and customer behaviour trends. Conduct cohort and predictive analyses to understand customer behaviour and mitigate churn risk. Stay informed on industry trends and best practices, recommending data-driven innovations. Loyalty Define and execute loyalty campaigns More ❯

customer segments based on evolving behaviours and lifecycle stages. Monitor and optimise email deliverability, integrating third-party tools where needed to enhance automation. Data Analysis/Reporting Analyse CRM and Loyalty data to generate actionable insights that inform strategic decisions. Define and track KPIs for CRM and loyalty campaigns … delivering regular performance reports to stakeholders. Build dashboards to visualise campaign performance, segmentation metrics, and customer behaviour trends. Conduct cohort and predictive analyses to understand customer behaviour and mitigate churn risk. Stay informed on industry trends and best practices, recommending data-driven innovations. Loyalty Define and execute loyalty campaigns More ❯

customer segments based on evolving behaviours and lifecycle stages. Monitor and optimise email deliverability, integrating third-party tools where needed to enhance automation. Data Analysis/Reporting Analyse CRM and Loyalty data to generate actionable insights that inform strategic decisions. Define and track KPIs for CRM and loyalty campaigns … delivering regular performance reports to stakeholders. Build dashboards to visualise campaign performance, segmentation metrics, and customer behaviour trends. Conduct cohort and predictive analyses to understand customer behaviour and mitigate churn risk. Stay informed on industry trends and best practices, recommending data-driven innovations. Loyalty Define and execute loyalty campaigns More ❯

customer segments based on evolving behaviours and lifecycle stages. Monitor and optimise email deliverability, integrating third-party tools where needed to enhance automation. Data Analysis/Reporting Analyse CRM and Loyalty data to generate actionable insights that inform strategic decisions. Define and track KPIs for CRM and loyalty campaigns … delivering regular performance reports to stakeholders. Build dashboards to visualise campaign performance, segmentation metrics, and customer behaviour trends. Conduct cohort and predictive analyses to understand customer behaviour and mitigate churn risk. Stay informed on industry trends and best practices, recommending data-driven innovations. Loyalty Define and execute loyalty campaigns More ❯

customer segments based on evolving behaviours and lifecycle stages. Monitor and optimise email deliverability, integrating third-party tools where needed to enhance automation. Data Analysis/Reporting Analyse CRM and Loyalty data to generate actionable insights that inform strategic decisions. Define and track KPIs for CRM and loyalty campaigns … delivering regular performance reports to stakeholders. Build dashboards to visualise campaign performance, segmentation metrics, and customer behaviour trends. Conduct cohort and predictive analyses to understand customer behaviour and mitigate churn risk. Stay informed on industry trends and best practices, recommending data-driven innovations. Loyalty Define and execute loyalty campaigns More ❯