1 to 25 of 36 Remote Predictive Analysis Jobs in the UK

from primary and secondary sources. Clean and preprocess data to ensure accuracy and completeness. Organize data into usable formats, including databases or spreadsheets. Data Analysis: Analyze datasets to identify patterns, trends, and correlations. Use statistical methods to provide insights and solve business challenges. Perform predictive analysis to … both technical and non-technical audiences. Work closely with cross-functional teams, including marketing, sales, finance, and IT. Understand business requirements to tailor data analysis efforts. Tool and Technology Utilization: Use software such as Excel, SQL, Python, R, Tableau, Power BI, or other analytics tools. Manage and maintain data … systems and databases. Stay updated on emerging trends and technologies in data analysis. Improve data collection and analysis processes. Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proficiency in statistical analysis and data visualization tools. Strong SQL skills and experience with More ❯

from primary and secondary sources. Clean and preprocess data to ensure accuracy and completeness. Organize data into usable formats, including databases or spreadsheets. Data Analysis: Analyze datasets to identify patterns, trends, and correlations. Use statistical methods to provide insights and solve business challenges. Perform predictive analysis to … both technical and non-technical audiences. Work closely with cross-functional teams, including marketing, sales, finance, and IT. Understand business requirements to tailor data analysis efforts. Tool and Technology Utilization: Use software such as Excel, SQL, Python, R, Tableau, Power BI, or other analytics tools. Manage and maintain data … systems and databases. Stay updated on emerging trends and technologies in data analysis. Improve data collection and analysis processes. Qualifications Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proficiency in statistical analysis and data visualization tools. Strong SQL skills and experience with 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Auto-QA Scorecards: Develop tailored Auto-QA scorecards and dashboards that empower customers to proactively manage quality and performance. Uncover Trends: Use data and predictive analytics to identify trends, helping customers address potential issues before they arise and improve overall satisfaction. Customer Onboarding & Analytics Integration: Lead Analytics-Enhanced Onboarding … topics. Contact centre data is a plus. AI & Machine Learning Awareness: You have a good understanding of natural language processing (NLP), topic modelling, and predictive analysis within QA and CX. Customer Service Insight: You’re familiar with QA and CX and are comfortable using data to enhance quality More ❯

data feeds for data science solutions. Design, code, test, correct and document moderate-to-complex programs and scripts. Experience in geographical information systems and predictive analysis is a bonus. Security clearance: You must already hold the highest level of UK Government security clearance. Why join us? A mission 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 ❯

best use of available data to deliver against the client vision. On a day-to-day basis you will take ownership and leadership of analysis projects, delivering them to a high degree of accuracy and take a role in presenting results and insights to clients. This is predominantly a … team. Skills and experience 3+ years working in a marketing or related field as an analyst or senior analyst. Experience of coding languages for analysis (Python & SQL preferred). Experience of platforms such as Salesforce. Experience of developing wireframes and creating dashboards. High level Microsoft Word, Excel and PPT … devising, implementing and managing reporting dashboard design, update and automation using tools such as PowerBI, Tableau and Looker Studio. Good knowledge of advanced data analysis techniques that include customer segmentation, predictive modelling, multivariate analysis, querying and reporting tools, A/B testing and statistical significance. We believe More ❯

support efforts to improve the employer experience, and in turn, help deliver better outcomes for our members. What you’ll do: Produce clear, actionable analysis and reporting—interpreting trends, patterns, and conducting complex statistical analysis on large, multi-source datasets. Contribute to interactive dashboards, slide decks, and data … statistical analysis. These include: R, Python, SQL, Power BI, and Google Analytics — alongside incorporating other tools such as large language models (LLMs) into data analysis and narrative building where appropriate. If you're data-led, impact-driven, and keen to improve people’s financial outcomes through evidence and insight … better retirement for millions. The department includes: Analytics – taking data and creating value for the organisation, understanding our customer and our business; doing descriptive, predictive, and prescriptive behavioural analysis and modelling to help Nest make decisions. Data – planning and delivering how we manage high quality data as an More ❯

Manager/Power BI to leverage advanced Controls Analytics solutions, develop dashboards, monitor KPIs, and provide actionable insights for project success. Your role involves predictive analytics, root-cause analysis, risk management, and ensuring industry compliance. Proficiency in Power BI, SQL, Python, and familiarity with PRISM or Primavera are … tracking Impactful role in a small, dynamic team Recognition and reward for achievements Key Responsibilities: Develop and manage dashboards and reports for project health analysis Create predictive analytics models and conduct root-cause analyses Collaborate on risk modeling and integrate risk impacts into forecasts Engage with stakeholders to More ❯

hoc investigations into user behaviour, acquisition, retention, and monetisation Help define and prioritise the data points we capture to enable smarter decision-making Experimentation & Analysis Conduct A/B test analysis to inform and validate hypotheses Collaborate with the Growth team to interpret results and iterate on experiments … level dashboards to surface the most important insights Elevate the team’s data literacy and decision-making through accessible and high-impact reporting Tooling & Predictive Analytics Support the setup and optimisation of Amplitude to improve experimentation workflows (event setup by engineering) Leverage Python and SQL to deliver predictive models and analysis where valuable Help establish frameworks for innovation and continuous improvement in how we use data Who You Are: Must-haves 5–6 years of experience in a data analyst or product analytics role Advanced SQL skills; comfortable querying complex datasets Intermediate Python skills (for deeper More ❯

hoc investigations into user behaviour, acquisition, retention, and monetisation Help define and prioritise the data points we capture to enable smarter decision-making Experimentation & Analysis Conduct A/B test analysis to inform and validate hypotheses Collaborate with the Growth team to interpret results and iterate on experiments … level dashboards to surface the most important insights Elevate the team’s data literacy and decision-making through accessible and high-impact reporting Tooling & Predictive Analytics Support the setup and optimisation of Amplitude to improve experimentation workflows (event setup by engineering) Leverage Python and SQL to deliver predictive models and analysis where valuable Help establish frameworks for innovation and continuous improvement in how we use data Who You Are: Must-haves 5–6 years of experience in a data analyst or product analytics role Advanced SQL skills; comfortable querying complex datasets Intermediate Python skills (for deeper 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 ❯

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 ❯

other internal stakeholders with equity related matters, including supporting bi-annual option grant process, adjusting equity-related procedures, policies and controls as needed. Conduct predictive analytics, data analysis and interpretation of trends to support proactive compensation and benefits planning. Lead the development of benefit strategies for our different … building relationships with company leaders and colleagues. WHAT WE ARE LOOKING FOR 10+ years experience working with compensation and benefits program design, competitive market analysis, benchmarking and job evaluation. Familiarity with compensation compliance rules regionally. Regional or Global market experience. It's an advantage if this includes understanding of More ❯