8 of 8 Predictive Analytics Jobs in Central London

MAXIS GBN - Analytics & Insights Manager Reports to: Data Director Location:London, UK About MAXIS GBN MAXIS GBN was co-founded in 1998 by MetLife and AXA, two of the largest and most trusted insurance companies in the world. In 2016, MAXIS GBN became a joint venture and established itself … to client reporting and underwriting while working with colleagues based in offices in locations across Europe, the USA and Asia. Summary of Responsibilities The Analytics & Insights Manager is responsible for designing and developing impactful Tableau dashboards and visualizations to transform complex data into clear, actionable insights. This role will … accuracy, consistency, and reliability. Recommending optimal dashboard solutions based on business needs and Tableau's capabilities. Key examples of dashboards include: o Advanced Claims Analytics Development: Leading the design and implementation of claims reserve adequacy analysis and underwriting year profit analysis, incorporating predictive and prescriptive analytics to More ❯

renewal portfolio. The role will work closely with teams across Pricing, Underwriting, and Customer Retention to design and implement renewal pricing models, leveraging advanced analytics and machine learning techniques to achieve business goals. My client is headquartered in London but this role is fully remote. Responsibilities: Stay updated on … competitor activity and market trends to ensure renewal pricing remains competitive and aligned with industry standards Apply predictive analytics to identify high-risk customers and recommend pricing strategies to enhance retention Perform detailed analyses of renewal performance metrics, including retention rates, loss ratios, gross written premium (GWP), and … or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large data More ❯

renewal portfolio. The role will work closely with teams across Pricing, Underwriting, and Customer Retention to design and implement renewal pricing models, leveraging advanced analytics and machine learning techniques to achieve business goals. My client is headquartered in London but this role is fully remote. Responsibilities: Stay updated on … competitor activity and market trends to ensure renewal pricing remains competitive and aligned with industry standards Apply predictive analytics to identify high-risk customers and recommend pricing strategies to enhance retention Perform detailed analyses of renewal performance metrics, including retention rates, loss ratios, gross written premium (GWP), and … or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large data More ❯

renewal portfolio. The role will work closely with teams across Pricing, Underwriting, and Customer Retention to design and implement renewal pricing models, leveraging advanced analytics and machine learning techniques to achieve business goals. My client is headquartered in London but this role is fully remote. Responsibilities: Stay updated on … competitor activity and market trends to ensure renewal pricing remains competitive and aligned with industry standards Apply predictive analytics to identify high-risk customers and recommend pricing strategies to enhance retention Perform detailed analyses of renewal performance metrics, including retention rates, loss ratios, gross written premium (GWP), and … or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large data More ❯

renewal portfolio. The role will work closely with teams across Pricing, Underwriting, and Customer Retention to design and implement renewal pricing models, leveraging advanced analytics and machine learning techniques to achieve business goals. My client is headquartered in London but this role is fully remote. Responsibilities: Stay updated on … competitor activity and market trends to ensure renewal pricing remains competitive and aligned with industry standards Apply predictive analytics to identify high-risk customers and recommend pricing strategies to enhance retention Perform detailed analyses of renewal performance metrics, including retention rates, loss ratios, gross written premium (GWP), and … or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large data More ❯

renewal portfolio. The role will work closely with teams across Pricing, Underwriting, and Customer Retention to design and implement renewal pricing models, leveraging advanced analytics and machine learning techniques to achieve business goals. My client is headquartered in London but this role is fully remote. Responsibilities: Stay updated on … competitor activity and market trends to ensure renewal pricing remains competitive and aligned with industry standards Apply predictive analytics to identify high-risk customers and recommend pricing strategies to enhance retention Perform detailed analyses of renewal performance metrics, including retention rates, loss ratios, gross written premium (GWP), and … or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large data More ❯

data into competitive advantage. About the role: Build and refine Data Science/AI/ML models that solve genuine commercial challenges Work across predictive analytics, personalization, and decision-making tools Deploy models on major cloud platforms (AWS, Azure, GCP) Collaborate with AI Engineers and Product Teams on More ❯

Lead Data Engineer As a Lead Data Engineer, you'll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: * Develop and execute a data engineering strategy that aligns … unstructured data. * Create and manage Power BI dashboards, reports, and data models to provide strategic insights. * Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. * Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: * Proficiency More ❯