101 to 125 of 289 Predictive Analytics Jobs in the UK

and maintain advanced digital manufacturing systems, including cobots, to improve production efficiency and reliability. Apply AI and machine learning methods, including image classification, to optimise quality, cycle times, and predictive maintenance. Configure, customise, and improve the Oracle Integrated Manufacturing Execution System to streamline workflows and improve data traceability. Write, test, and deploy Python (and/or C#) plugins for … automation, predictive analytics, and process control. Optimise, and manage SQL databases to support smart tooling, data integrity, and production analytics. Utilise Power BI and other visualisation tools to generate automated reports, dashboards, and actionable insights. Set best practice standards working with international cross-functional engineering, production, and IT teams to drive successful continuous improvement initiatives and digital transformation … EXPERIENCE Bachelor’s or Master’s degree in engineering, Computer Science, related technical discipline or equivalent professional experience. Proven industrial experience in digital manufacturing, automation and AI/ML analytics in advanced production environments. Hands-on experience with MES, ERP, PLM, SQL and process control tools. Strong proficiency in programming (Python, C#) with demonstrated project experience. Track record of More ❯

and maintain advanced digital manufacturing systems, including cobots, to improve production efficiency and reliability. Apply AI and machine learning methods, including image classification, to optimise quality, cycle times, and predictive maintenance. Configure, customise, and improve the Oracle Integrated Manufacturing Execution System to streamline workflows and improve data traceability. Write, test, and deploy Python (and/or C#) plugins for … automation, predictive analytics, and process control. Optimise, and manage SQL databases to support smart tooling, data integrity, and production analytics. Utilise Power BI and other visualisation tools to generate automated reports, dashboards, and actionable insights. Set best practice standards working with international cross-functional engineering, production, and IT teams to drive successful continuous improvement initiatives and digital transformation … EXPERIENCE Bachelor’s or Master’s degree in engineering, Computer Science, related technical discipline or equivalent professional experience. Proven industrial experience in digital manufacturing, automation and AI/ML analytics in advanced production environments. Hands-on experience with MES, ERP, PLM, SQL and process control tools. Strong proficiency in programming (Python, C#) with demonstrated project experience. Track record of More ❯

SME for infrastructure design , governance, and compliance frameworks. Oversee reporting and insights across Power BI and Omni (a modern BI tool similar to Looker), defining and standardising KPIs. Drive predictive analytics and machine learning initiatives, such as customer lifetime value and propensity modelling. Partner cross-functionally to support commercial teams - hospitality, retail, fan engagement, digital, and finance. Key … projects on the roadmap Finance ERP system integration Fan data enhancement via CDP Club-wide reporting rollout Predictive modelling and segmentation F&B and digital journey optimisation Tech environment GCP - data warehouse and pipelines Power BI/Omni - visualisation and exploration SQL, Python, DBT, Docker Exposure to web & app event tracking and modern data tooling About you Proven leadership … of data teams in modern cloud environments. Skilled in stakeholder management and translating data into commercial action. Experienced across data strategy, architecture, and analytics delivery. Comfortable working hands-on where needed, but equally confident shaping long-term direction. Ideally, you bring a fresh perspective from outside football . The setup Hybrid: 4 days per week onsite (London) Package More ❯

Analytics Lead Advanced Analytics 12 Month FTC Negotiable to £70,000 DOE plus generous bonus potential + benefits Full time/Hybrid working: 3 days inTW6, Middlesex offices & 2 days home/remote Job Reference J13030 Full UK working rights required/no sponsorship available Immediate requirement strong leadership skills THE ROLE Looking for a challenge in one … You will lead the team to deliver robust and reliable data and advanced analytical solutions for the business and maintain the quality of management information through continuous improvement. The analytics lead should have a strong enthusiasm for problem solving and a passion for data. They will be expected to provide analytical expertise, seek to identify data gaps and proactively … summarise data, identify trends, forecast, and predict outcomes Project management and planning Highly effective team worker Strong business acumen and commercial awareness Technical skills: Data analysis, visualisation, statistical modelling, predictive analytics. Experience Essential Experience Analysing complex issues, packaging findings and presenting effectively to stakeholders Managing databases and/or blending data Designing data for management information purposes Leading the More ❯

systems) through adoption of microservices, cloud, APIs, and event-driven architectures. Oversee digital transformation of front-office and client engagement platforms (e.g., advisor portals, investor dashboards, digital onboarding, portfolio analytics). Support rationalisation and integration of fragmented technology estates resulting from mergers, acquisitions, or platform expansion. AI & Data Strategy Enablement Identify and drive AI and data-driven use cases … relevant to investment advisory, client servicing, risk management, and operational automation (e.g., hyper-personalisation, RPA, document intelligence, GenAI for regulatory reporting or client communications). Collaborate with data and analytics teams to modernise the data estate, including data lakes, master data governance, lineage tracking, and real-time insights. Programme Oversight Serve as the technology lead or architect across large … cloud-native platforms (AWS, Azure, GCP), API management, enterprise integration, and data architecture. Exposure to AI/ML or Generative AI in real-world applications (e.g., NLP, entity extraction, predictive analytics, conversational AI). Deep appreciation of regulatory landscape, data privacy, and cybersecurity needs within financial services. Preferred Background Experience working with top-tier banks, asset managers, or More ❯

through adoption of microservices, cloud, APIs , and event-driven architectures . Oversee digital transformation of front-office and client engagement platforms (e.g., advisor portals, investor dashboards, digital onboarding, portfolio analytics). Support rationalisation and integration of fragmented technology estates resulting from mergers, acquisitions, or platform expansion. AI & Data Strategy Enablement Identify and drive AI and data-driven use cases … relevant to investment advisory, client servicing, risk management, and operational automation (e.g., hyper-personalisation, RPA, document intelligence, GenAI for regulatory reporting or client communications). Collaborate with data and analytics teams to modernise the data estate, including data lakes, master data governance, lineage tracking, and real-time insights. Programme Oversight Serve as the technology lead or architect across large … native platforms (AWS, Azure, GCP) , API management , enterprise integration , and data architecture . Exposure to AI/ML or Generative AI in real-world applications (e.g., NLP, entity extraction, predictive analytics, conversational AI). Deep appreciation of regulatory landscape , data privacy, and cybersecurity needs within financial services. Preferred Background Experience working with top-tier banks, asset managers, or More ❯

company strategy. The Role Design, develop interactive dashboards and reports in Power BI to deliver actionable insights across departments. Lead and support AI-driven initiatives, such as process automation, predictive analytics, and natural language insights. Collaborate with business stakeholders to identify improvement opportunities through data analysis and digital innovation. Support business system upgrades, integrations, and enhancements that improve … measure system efficiency and improvement outcomes. Stay current with emerging AI, BI, and digital transformation technologies to proactively recommend innovative solutions. The Person Experience in business systems analysis, data analytics, data warehousing and continuous improvement. Ability to develop Power BI dashboards and reports that drive strategic business decisions. Experience in integrating or implementing AI tools and APP development Familiarity More ❯

architecture of AI solutions using Azure AI services, Databricks, Microsoft Fabric, and Copilot Studio, integrated with Dynamics 365 (F&O, CE, BC) and the Power Platform. Embed intelligent automation, predictive analytics, and natural-language experiences within ERP and line-of-business processes for project-based industries. Guide MLOps practices for deployment, monitoring, and continuous improvement; set engineering standards More ❯

days per week) Salary: £42,700-£53,700 + annual bonus A global media and entertainment business is looking for a Senior Commercial Data Analyst to own analytics within a cross-functional team. This role blends technical capability with commercial thinking, supporting senior stakeholders across multiple regions and business lines. What You'll Do: Act as the go-to … the rollout of a new BI platform Translate complex data into actionable commercial recommendations across pricing, product and market performance Connect data from multiple systems (CRM, finance systems, web analytics, etc.) to create a single source of truth Analyse deal value, product performance, customer behaviour and digital/content trends Support budgeting, forecasting and wider commercial planning Build automated … reporting and enable self-serve analytics across the business Example Projects: Migrating legacy reports into a modern BI platform and improving reporting structures Analysing financial, customer and digital data to inform commercial strategy for new product or venue launches Implementing forecasting and predictive analytics within dashboards Supporting CRM and commercial system integrations and helping drive adoption across More ❯

days per week) Salary: £42,700-£53,700 + annual bonus A global media and entertainment business is looking for a Senior Commercial Data Analyst to own analytics within a cross-functional team. This role blends technical capability with commercial thinking, supporting senior stakeholders across multiple regions and business lines. What You'll Do: Act as the go-to … the rollout of a new BI platform Translate complex data into actionable commercial recommendations across pricing, product and market performance Connect data from multiple systems (CRM, finance systems, web analytics, etc.) to create a single source of truth Analyse deal value, product performance, customer behaviour and digital/content trends Support budgeting, forecasting and wider commercial planning Build automated … reporting and enable self-serve analytics across the business Example Projects: Migrating legacy reports into a modern BI platform and improving reporting structures Analysing financial, customer and digital data to inform commercial strategy for new product or venue launches Implementing forecasting and predictive analytics within dashboards Supporting CRM and commercial system integrations and helping drive adoption across More ❯

days per week) Salary: £42,700-£53,700 + annual bonus A global media and entertainment business is looking for a Senior Commercial Data Analyst to own analytics within a cross-functional team. This role blends technical capability with commercial thinking, supporting senior stakeholders across multiple regions and business lines. What You'll Do: Act as the go-to … the rollout of a new BI platform Translate complex data into actionable commercial recommendations across pricing, product and market performance Connect data from multiple systems (CRM, finance systems, web analytics, etc.) to create a single source of truth Analyse deal value, product performance, customer behaviour and digital/content trends Support budgeting, forecasting and wider commercial planning Build automated … reporting and enable self-serve analytics across the business Example Projects: Migrating legacy reports into a modern BI platform and improving reporting structures Analysing financial, customer and digital data to inform commercial strategy for new product or venue launches Implementing forecasting and predictive analytics within dashboards Supporting CRM and commercial system integrations and helping drive adoption across More ❯

hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of More ❯

hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of More ❯

hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of More ❯

hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of More ❯

hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of More ❯

hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of More ❯

Ownership Oversee the architecture, performance, and development of the core e-commerce platform (Magento 2/headless commerce) and mobile app ecosystem. Drive AI innovation (personalisation, recommendations engine, automation, predictive analytics, generative AI capabilities). Ensure interoperability across systems (ERP, CRM, OMS, WMS, payment systems, retail POS). Operational Excellence Implement robust engineering principles, DevOps practices, and CI … reliability. Lead infrastructure decisions across cloud environments (AWS/GCP), cybersecurity, data governance, and compliance. Own disaster recovery, infrastructure resilience, and regulatory standards. Data & AI Strategy Oversee data platforms, analytics, machine learning models, and data governance frameworks. Embed data-driven decision-making across the organisation, enabling commercial, product, and marketing teams with actionable insights. Team & Culture Build and lead … Magento, headless, APIs, microservices) Mobile app ecosystems (React Native, Flutter, Swift/Kotlin) AI & Machine Learning (recommendation engines, LLMs, automation) Cloud infrastructure (AWS/GCP/Azure) Data engineering & analytics platforms Strong commercial acumen: understands how to drive profit, conversion, retention, and CLV through technology. Experience leading large technical teams (in-house + outsourced) across multiple disciplines and geographies. More ❯

Ownership Oversee the architecture, performance, and development of the core e-commerce platform (Magento 2/headless commerce) and mobile app ecosystem. Drive AI innovation (personalisation, recommendations engine, automation, predictive analytics, generative AI capabilities). Ensure interoperability across systems (ERP, CRM, OMS, WMS, payment systems, retail POS). Operational Excellence Implement robust engineering principles, DevOps practices, and CI … reliability. Lead infrastructure decisions across cloud environments (AWS/GCP), cybersecurity, data governance, and compliance. Own disaster recovery, infrastructure resilience, and regulatory standards. Data & AI Strategy Oversee data platforms, analytics, machine learning models, and data governance frameworks. Embed data-driven decision-making across the organisation, enabling commercial, product, and marketing teams with actionable insights. Team & Culture Build and lead … Magento, headless, APIs, microservices) Mobile app ecosystems (React Native, Flutter, Swift/Kotlin) AI & Machine Learning (recommendation engines, LLMs, automation) Cloud infrastructure (AWS/GCP/Azure) Data engineering & analytics platforms Strong commercial acumen: understands how to drive profit, conversion, retention, and CLV through technology. Experience leading large technical teams (in-house + outsourced) across multiple disciplines and geographies. More ❯

Ownership Oversee the architecture, performance, and development of the core e-commerce platform (Magento 2/headless commerce) and mobile app ecosystem. Drive AI innovation (personalisation, recommendations engine, automation, predictive analytics, generative AI capabilities). Ensure interoperability across systems (ERP, CRM, OMS, WMS, payment systems, retail POS). Operational Excellence Implement robust engineering principles, DevOps practices, and CI … reliability. Lead infrastructure decisions across cloud environments (AWS/GCP), cybersecurity, data governance, and compliance. Own disaster recovery, infrastructure resilience, and regulatory standards. Data & AI Strategy Oversee data platforms, analytics, machine learning models, and data governance frameworks. Embed data-driven decision-making across the organisation, enabling commercial, product, and marketing teams with actionable insights. Team & Culture Build and lead … Magento, headless, APIs, microservices) Mobile app ecosystems (React Native, Flutter, Swift/Kotlin) AI & Machine Learning (recommendation engines, LLMs, automation) Cloud infrastructure (AWS/GCP/Azure) Data engineering & analytics platforms Strong commercial acumen: understands how to drive profit, conversion, retention, and CLV through technology. Experience leading large technical teams (in-house + outsourced) across multiple disciplines and geographies. More ❯

real-world machine learning applications. This is a hands-on engineering role where you’ll be at the core of designing, developing, and optimising modern data platforms that enable predictive analytics, AI experimentation, and large-scale automation. You’ll work in an environment where data truly drives business decisions — not just dashboards. If you’re excited by high … volume, high-velocity data challenges and want to work on next-gen infrastructure that supports advanced analytics and AI workloads, this is your opportunity. What You’ll Be Doing Designing and building scalable, reusable data pipelines using Azure Databricks, Data Factory, and modern cloud tooling Developing secure, flexible data models and optimising performance across massive datasets Collaborating with data More ❯

in delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate … bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non More ❯

in delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate … bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non More ❯

in delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate … bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non More ❯

in delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate … bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non More ❯