1 to 25 of 105 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 ❯

functional teams, and develop data-driven solutions to support business growth. Responsibilities: Work with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical … and machine learning techniques for predictive analysis, clustering, and pattern recognition. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's in Computer … with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, machine learning, and programming languages such as Python, R, or Scala. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem-solving More ❯

to develop data-driven solutions and strategies to drive growth. Responsibilities: Collaborate with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical … and machine learning techniques for predictive analysis, clustering, segmentation, and pattern recognition. Identify key metrics, develop KPIs, and create dashboards using QuickSight for decision-making. Perform exploratory data analysis to uncover trends and insights for product and user engagement improvements. Work with data engineers to optimize data … with AWS analytics services. Strong proficiency in AWS tools: Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem More ❯

shape our data strategy to support business growth. Responsibilities: Collaborate with teams to understand objectives, identify data needs, and set analytics goals. Implement data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into … AWS. Apply statistical and machine learning techniques for predictive analysis, clustering, and pattern recognition. Develop KPIs, dashboards, and visualizations to support decision-making. Perform exploratory data analysis to uncover trends and insights for product and engagement improvements. Work with data engineers to optimize data architecture, quality, and 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 ❯

Join Nokia as a Senior Data Scientist, where you'll leverage cutting-edge technologies to transform crude data into actionable insights. Your expertise in predictive analytics will drive impactful analyses, enabling data-driven decision-making across the organization. You will integrate and centralize diverse data sources while ensuring robust … Product Management, Customer Interface, and business lines. Problem-Solving & Efficiency : Lead serious issue resolution, seek cost-efficient solutions, and foster change in the environment. Predictive Analysis : Apply deep expertise in predictive analytics to deliver insights and solutions. Planning & Organization : Contribute to resource planning, work estimation, and process More ❯

and leverage the benefits of AI inc Generative AI to support Data Quality Assessments, Data mapping, Transformation, Anonymisation, Data validation, Optimisation of Migration paths, Predictive analysis, Migration monitoring, Semantic recognition, Data lineage and Data Migration testing. Facts/Scale The data office has been established for nearly two … from multiple sources, including internal databases, external vendors, and APIs. Perform data cleaning, transformation, and standardization processes to ensure data accuracy and consistency. • Data Analysis, validation and Interpretation: Utilise tools to perform data analytics, including data blending, analysis, and modelling. Collaborate with business stakeholders to understand their requirements … and translate them into data analysis tasks. • Problem Solving and Testing: Technical skills to use data to support investigations and testing, understand how to get root cause of problems, working with SMEs and team members. Review and recommend improvements to processes, data, controls to support improving the Bank. • Semantic 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 ❯

and leverage the benefits of AI inc Generative AI to support Data Quality Assessments, Data mapping, Transformation, Anonymisation, Data validation, Optimisation of Migration paths, Predictive analysis, Migration monitoring, Semantic recognition, Data lineage and Data Migration testing. Facts/Scale The data office has been established for nearly two More ❯

a pivotal role in designing, implementing, and supporting data pipelines on the Bank's data platform. You will lead innovative, data-centric products and predictive analysis work while developing automated solutions that continuously improve data engineering across the Bank. Your technical leadership will establish a centre of excellence 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 ❯

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 ❯

SQL queries to extract and manipulate data ️ Analyze trends, patterns, and key metrics ️ Prepare reports and dashboards for internal use ️ Assist in forecasting and predictive analysis ️ Learn data handling using Python or R ️ Work with structured and unstructured data sets ️ Ensure data accuracy and consistency ️ Present findings to More ❯

values data-led decision-making. As a Data Analytics Apprentice, you'll have the opportunity to work on a wide variety of projects, from predictive analysis and mathematical modelling to data visualisation and web development. You’ll partner with teams across the business to develop analytical insights that More ❯

with an understanding of both model evaluation and productionisation challenges. Expertise in statistics, hypothesis testing, sampling techniques, and anomaly detection, along with experience applying predictive modelling and regression analysis. Excellent communication and stakeholder management skills, with the ability to juggle multiple projects and guide cross- functional teams through ML More ❯

driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL … processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data … driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics More ❯

driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL … processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data … driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics More ❯

driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL … processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data … driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics More ❯

driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL … processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data … driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics More ❯

driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL … processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data … driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics More ❯

driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL … processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data … driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics More ❯