51 to 63 of 63 Predictive Analytics Jobs in the North West

optimise pricing strategies for the 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 income, to identify opportunities for improvement Requirements: At least 2 years of experience in a … pricing 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 sets More ❯

optimise pricing strategies for the 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 income, to identify opportunities for improvement Requirements: At least 2 years of experience in a … pricing 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 sets More ❯

optimise pricing strategies for the 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 income, to identify opportunities for improvement Requirements: At least 2 years of experience in a … pricing 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 sets More ❯

optimise pricing strategies for the 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 income, to identify opportunities for improvement Requirements: At least 2 years of experience in a … pricing 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 sets More ❯

optimise pricing strategies for the 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 income, to identify opportunities for improvement Requirements: At least 2 years of experience in a … pricing 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 sets More ❯

optimise pricing strategies for the 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 income, to identify opportunities for improvement Requirements: At least 2 years of experience in a … pricing 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 sets More ❯

thinking Product Quality Specialist (Methods and Tools) to join our team. This is an exciting opportunity to drive innovation in quality assurance through the implementation of software tools, data analytics, and collaboration with cross-functional teams in engineering, manufacturing, and quality management. This role places you at the heart of a high-tech, international working environment, where your contributions … will directly improve product assurance processes. You’ll have the chance to develop expertise in systems such as SAP, business intelligence platforms, and analytics tools—while also delivering training, driving continuous improvement, and helping predict and prevent quality issues. If you’re passionate about making a tangible impact in a fast-paced environment where innovation and quality go hand … Purpose: SAP and Software Systems: Lead the optimisation and integration of SAP systems—particularly the Quality Management (QM) module—to support quality assurance improvements and software change activities. Data Analytics and Innovation: Apply business intelligence and data analytics tools to solve quality challenges, including predictive analytics for early issue detection. Training and Development: Create and deliver More ❯

thinking Product Quality Specialist (Methods and Tools) to join our team. This is an exciting opportunity to drive innovation in quality assurance through the implementation of software tools, data analytics, and collaboration with cross-functional teams in engineering, manufacturing, and quality management. This role places you at the heart of a high-tech, international working environment, where your contributions … will directly improve product assurance processes. You’ll have the chance to develop expertise in systems such as SAP, business intelligence platforms, and analytics tools—while also delivering training, driving continuous improvement, and helping predict and prevent quality issues. If you’re passionate about making a tangible impact in a fast-paced environment where innovation and quality go hand … Purpose: SAP and Software Systems: Lead the optimisation and integration of SAP systems—particularly the Quality Management (QM) module—to support quality assurance improvements and software change activities. Data Analytics and Innovation: Apply business intelligence and data analytics tools to solve quality challenges, including predictive analytics for early issue detection. Training and Development: Create and deliver More ❯

a Quality Assurance Systems Specialist. This role offers a unique opportunity to drive improvements in product assurance and quality through the enhanced utilisation of our software Tools and data analytics tools. In this role, you will be at the forefront of enhancing product quality by implementing new software solutions and engaging with engineering, manufacturing, and quality management teams. You … high-tech environment where innovation, integrity, and team spirit are core values. This is an exciting opportunity to develop your skills and knowledge in SAP systems, business intelligence, and analytics tools, with a focus on delivering operation improvement. You will work hands-on with cutting-edge technology to predict and prevent quality issues, driving meaningful change and innovation within … Systems: Lead the integration and optimisation of SAP systems, particularly within the SAP Quality Management (QM) module, to enhance quality assurance processes and support software changes and testing. Data Analytics and Innovation: Utilise business intelligence and analytics tools to solve quality challenges, focusing on predictive and prescriptive analytics to anticipate and prevent non-conformance issues. Training More ❯

Incident, Problem, Change Management, and Request Fulfilment Identifying opportunities for new AI technologies and working with the AI/ML department on creating new or improving existing virtual agents, predictive analytics, and machine learning within the ITSM ecosystem Supporting ITSM workflow improvements through the proposal and development of new AI agents to streamline processes and improve service delivery More ❯

CTO to define and execute the engineering strategy. Lead and mentor Engineering Managers and senior technical leaders across multiple domains. Identify and implement opportunities in AI, machine learning, and predictive analytics. Oversee the expansion and integration of offshore development teams and delivery partners. Advance Agile ways of working to improve quality, consistency, and delivery confidence. Define team structures, roles More ❯

Role Profile Forge are a data rich, and data hungry business looking for an Analytics Business Partner to join their D&A Team. Key Responsibilities Squad leadership - Managing the funnel of work to ensure that our team drives the greatest impact (through approving business requests and partnering with the business to create initiatives for your squad to work on … available squad resources to balance initiatives and BAU requests. - Coach analysts in best practices to ensure efficient and effective work delivery across tools and techniques. Stakeholder collaboration - Bridging data & analytics with other business units, understanding needs and proactively identifying opportunities for data to build competitive edge or inform decision making. - Drive a positive image of D&A in your … of high standard and comply with best practice ways of working for effective and accurate delivery. - Focus on designing ‘right fit’ solutions that leverage the squad's capabilities, including predictive and prescriptive analytics through crossover with our data science team. - Ensure adherence to principles such as Data > Insight > Action and storytelling for impactful reporting. Any other duties that More ❯

CTO to define and execute the engineering strategy. Lead and mentor Engineering Managers and senior technical leaders across multiple domains. Identify and implement opportunities in AI, machine learning, and predictive analytics. Oversee the expansion and integration of offshore development teams and delivery partners. Advance Agile ways of working to improve quality, consistency, and delivery confidence. Define team structures, roles More ❯