1 to 25 of 63 Predictive Analytics Jobs in the South East

HEAD OF DATA & ANALYTICS UP TO £120,000 LONDON - HYBRID - 4 DAYS A WEEK IN OFFICE Please note: you must have full UK right to work and be able to commute to West London four days per week. ABOUT THE ORGANISATION A leading UK-based organisation with a large consumer and events-focused operation, spanning merchandise, ticketing, hospitality, digital … engagement, and commercial partnerships. The business is on a mission to elevate how it uses data to understand, engage, and serve its audience. The central Data & Analytics function is instrumental in this transformation, unifying multiple data sources into a single, accessible environment to deliver actionable insight across the business. Following a recent restructure, the data function is entering an … exciting phase of growth and investment, focused on delivering a cutting-edge data platform and embedding advanced analytics and predictive capabilities throughout the organisation. THE TEAM You'll lead a growing central data and analytics function, currently a small but capable team of engineers and analysts, with headcount expansion planned over the next year. The team manages More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance … indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the … business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance … indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the … business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance … indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the … business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with More ❯

experiences. The company is investing heavily in its data capabilities and is looking for an experienced Head of Data to lead the evolution of its data platform, governance, and analytics strategy. The Role As Head of Data, you will own the commercial data strategy and oversee a growing team of engineers and analysts. You'll be responsible for leading … partner with senior stakeholders across marketing, finance, and operations to ensure the data infrastructure supports business growth and audience understanding. Alongside this, you will shape the roadmap for advanced analytics, predictive modelling, and machine learning initiatives that drive customer engagement and commercial performance. Key Responsibilities Implement and evolve the business-wide data strategy aligned with commercial goals. Lead … the design and scaling of the central data platform in GCP. Oversee governance, compliance, and data quality frameworks. Standardise reporting and insights delivery through Power BI and Omni. Deploy predictive analytics models, including CLV and propensity scoring. Partner with cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a More ❯

HEAD OF DATA & ANALYTICS LONDON – HYBRID (4 DAYS PER WEEK IN OFFICE) SALARY – £120,000 THE COMPANY A world-renowned football club with a global fanbase and a growing commercial and digital footprint is expanding its data function to better understand, engage, and serve supporters worldwide! THE ROLE This senior position will lead the club’s central data function … overseeing fan data strategy, infrastructure, and analytics capability. You’ll be responsible for shaping how the club captures, governs, and activates data to inform strategic decision-making across every part of the organisation. Key Responsibilities: Lead and evolve the club’s fan data strategy in line with commercial objectives. Oversee the centralised data platform (GCP), integrating data from ticketing … merchandising, hospitality, and digital sources. Ensure data governance and compliance frameworks are maintained across all systems. Build and standardise reporting and KPIs using Power BI and Omni. Deploy predictive analytics and machine learning models (e.g. CLV, propensity scoring). Support major transformation projects, including: Finance ERP system integration Fan engagement enhancement via CDP Club-wide reporting rollout F More ❯

HEAD OF DATA & ANALYTICS LONDON – HYBRID (4 DAYS PER WEEK IN OFFICE) SALARY – £120,000 THE COMPANY A world-renowned football club with a global fanbase and a growing commercial and digital footprint is expanding its data function to better understand, engage, and serve supporters worldwide! THE ROLE This senior position will lead the club’s central data function … overseeing fan data strategy, infrastructure, and analytics capability. You’ll be responsible for shaping how the club captures, governs, and activates data to inform strategic decision-making across every part of the organisation. Key Responsibilities: Lead and evolve the club’s fan data strategy in line with commercial objectives. Oversee the centralised data platform (GCP), integrating data from ticketing … merchandising, hospitality, and digital sources. Ensure data governance and compliance frameworks are maintained across all systems. Build and standardise reporting and KPIs using Power BI and Omni. Deploy predictive analytics and machine learning models (e.g. CLV, propensity scoring). Support major transformation projects, including: Finance ERP system integration Fan engagement enhancement via CDP Club-wide reporting rollout F More ❯

HEAD OF DATA & ANALYTICS LONDON – HYBRID (4 DAYS PER WEEK IN OFFICE) SALARY – £120,000 THE COMPANY A world-renowned football club with a global fanbase and a growing commercial and digital footprint is expanding its data function to better understand, engage, and serve supporters worldwide! THE ROLE This senior position will lead the club’s central data function … overseeing fan data strategy, infrastructure, and analytics capability. You’ll be responsible for shaping how the club captures, governs, and activates data to inform strategic decision-making across every part of the organisation. Key Responsibilities: Lead and evolve the club’s fan data strategy in line with commercial objectives. Oversee the centralised data platform (GCP), integrating data from ticketing … merchandising, hospitality, and digital sources. Ensure data governance and compliance frameworks are maintained across all systems. Build and standardise reporting and KPIs using Power BI and Omni. Deploy predictive analytics and machine learning models (e.g. CLV, propensity scoring). Support major transformation projects, including: Finance ERP system integration Fan engagement enhancement via CDP Club-wide reporting rollout F More ❯

global Pharmaceutical organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35 Deep expertise in Snowflake and DBT to join a mission-driven analytics team. This role is critical to assessing and improving an established Snowflake environment, driving cost optimisation, enhancing operational rigour, and supporting the team's move toward predictive analytics … CD pipelines to automate reliable deployment of data transformations. Provide deep insight into Snowflake infrastructure, including cost and pricing models, performance tuning, and resource governance. Support ML Ops/predictive analytics operationalisation - managing updates, performance monitoring, and change rollout rather than building models from scratch. Be a technical mentor and knowledge resource within the team - promoting best practices … skills and ability to mentor or teach other engineers. Desirable/Nice to Have Exposure to ML Ops (particularly around operationalising models). Familiarity with data science environments and predictive analytic workflows. Company Global Pharmaceuticals organisation Hybrid working - 1 day per week onsite Outside IR35 Salary & Benefits The salary range/rates of pay is dependent upon your experience More ❯

pension, travel support). International project exposure and travel opportunities. Key responsibilities: Design and deploy scalable software and hardware monitoring systems. Develop modules for performance tracking, fault detection, revenue analytics, and predictive maintenance. Integrate SCADA, IoT devices, and security systems (CCTV, drones). Collaborate with engineers and field teams to deliver and commission systems. Apply AI, IoT, and … for the real-time monitoring and management of multiple large-scale PV and BESS installations across Southern Africa and Eastern Europe. · Build a secure, cloud-based data acquisition and analytics platform capable of capturing and processing half-hourly and real-time operational data from diverse equipment and site systems. · Develop modules for: o Performance Monitoring: Real-time tracking of …/import metrics. o Fault Detection & Diagnostics: Automated identification, logging, and reporting of technical issues at string, inverter, or system level, with AI-assisted root-cause analysis. o Revenue Analytics: Monitoring energy yield, performance ratios, and revenue generation by site, asset, or region, with trend analysis and forecasting tools. o Maintenance & Service Scheduling: Predictive analytics and alerts More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to More ❯

decision-making across Sales, Marketing, Services, and Finance for the UK and Ireland (UKI) market. As a Commercial Analyst, you will play a key role in delivering insights and analytics that drive local commercial success and contribute to regional collaboration. Day-to-Day responsibilities of the Role: Commercial & Functional Analytics: Design and deliver high-impact sales reports and … dashboards for local and regional decision-making. Manage the UKI incentive calculation, sales target modelling, and rebate analytics process. Provide analytical support for tender pricing, customer segmentation, and loyalty scheme modelling. Conduct ad hoc analysis to support cross-functional stakeholders with timely insights. BI Development & Reporting: Develop and maintain reporting suites using Power BI, enhancing commercial and functional performance … visibility across allocated area. Collaborate on Salesforce Analytics dashboards and optimise data architecture and reporting pipelines focusing on automation, scalability, and reliability. Utilise tools like Alteryx for data transformation and cleansing to improve workflow efficiency. Data Innovation & Automation: Apply AI tools and automation to enhance reporting capabilities, including anomaly detection and performance forecasting. Support the integration of predictive More ❯

deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows More ❯

deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows More ❯

deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows More ❯

sector is hiring a Head of Business Data to lead its central data function. This is a strategic role focused on owning the data platform, governance, reporting, and advanced analytics - all in support of wide-ranging commercial objectives. Working cross-functionally, you'll shape and scale how the business captures and activates fan and customer data to drive value … Own the business data platform ( GCP ) - integrating multiple data sources across the organisation Oversee data governance and compliance frameworks Champion standardised, accessible reporting via Power BI and Omni Deliver predictive modelling and machine learning projects (e.g. CLV, propensity scoring) Partner with digital, finance, and operations teams to embed data into decision-making Support and drive key strategic projects - from … SQL, Python Power BI, Omni (Looker-style BI tool) DBT, Docker Experience with digital event tracking (web & app) a plus What You'll Bring Proven leadership in data and analytics roles, with a commercial focus Strong stakeholder management and cross-functional influencing skills Hands-on experience with data architecture, governance, and predictive analytics Ability to translate data More ❯

migration from legacy on-prem systems to a modern Azure-based data platform. Build and manage a team of BI Analysts and Data Engineers. Develop dashboards, reporting tools, and predictive analytics to support business units. Champion data governance, quality, and compliance across the organisation. Act as a trusted advisor to senior leadership, translating data into commercial insight. What More ❯

.NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly More ❯

.NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly More ❯

.NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly 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 ❯

institutions. Their platform automates the reconciliation, validation, and submission of complex derivative transaction data—powering greater accuracy, efficiency, and transparency across capital markets. As they scale their data and analytics capabilities, the firm is seeking a forward-thinking, technically strong AI & ML Lead to spearhead machine learning strategy, model development, and intelligent automation initiatives across the platform. This role … firm’s AI/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch, or similar tools. Collaborate with data engineering to build reliable, secure, and scalable data pipelines that support training, inference, and monitoring of More ❯

institutions. Their platform automates the reconciliation, validation, and submission of complex derivative transaction data—powering greater accuracy, efficiency, and transparency across capital markets. As they scale their data and analytics capabilities, the firm is seeking a forward-thinking, technically strong AI & ML Lead to spearhead machine learning strategy, model development, and intelligent automation initiatives across the platform. This role … firm’s AI/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch, or similar tools. Collaborate with data engineering to build reliable, secure, and scalable data pipelines that support training, inference, and monitoring of More ❯