451 to 475 of 555 Predictive Analytics Jobs in the UK

develop our pipeline for future projects. This role is a unique chance to work with the latest technologies, for example: S/4HANA, IoT, UI5, Digital, Cloud, Mobile, GenAI, Predictive Analytics and other areas of data science, helping Clients renew their enterprise as they move through their transformation journeys. You will be working on single or multiple project More ❯

with sales leadership to ensure alignment between marketing programs and revenue goals. AI-Driven Marketing Innovation & Marketing Technology Develop and implement an AI-forward marketing strategy, leveraging data science, predictive analytics, and generative AI to personalize engagement, optimize campaigns, and scale operations. Evaluate and integrate new AI technologies to enhance content creation, customer segmentation, lead scoring, and lifecycle More ❯

publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here for the latest third party bias audit information. If you prefer More ❯

scientists to deliver business objectives across multiple channels. Improve and maintain all pricing optimisation for new business and renewals. Actively influence the evolution and improvement of the company’s predictive models as well assure its appropriate monitoring. Work as part of companywide collaborative squads, ensuring data driven decisions, with the use of predictive analytics. Be able to analyse More ❯

cross-functionally to deliver insights, craft reports, and shape data-informed strategies and campaign outcomes. SKILLS & EXPERIENCE Strong academic background in analytical disciplines with expertise in econometric modelling and predictive analytics. Skilled in tools like Python, R, SQL, Tableau; excels at translating data for diverse audiences. Experienced in cross-functional collaboration, data storytelling, and applying insights to entertainment and More ❯

from multiple sources. Collaborate with cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate, transparent, and timely capacity data. More ❯

from multiple sources. Collaborate with cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate, transparent, and timely capacity data. More ❯

from multiple sources. Collaborate with cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate, transparent, and timely capacity data. More ❯

technology and core networking control. Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, event-driven IT and predictive analytics. Familiarity with information management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure and operations, and EA and ITIL frameworks. Exceptional soft and More ❯

technology and core networking control. Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, event-driven IT and predictive analytics. Familiarity with information management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure and operations, and EA and ITIL frameworks. Exceptional soft and More ❯

As an AI & Learning Analytics Specialist, you will leverage your background in AI, data science, or educational technology, along with your stakeholder engagement skills, to develop a platform that delivers inclusive, scalable, and data-driven learning experiences, particularly for neurodiverse learners. Your strong programming skills in Python or similar languages will be essential as you collaborate with experts from … ENU and FSUK to develop and test innovative tools such as predictive analytics dashboards, personalized learning pathways, and hybrid learning models. The goal is to embed these capabilities within the organization and support their commercial rollout. We expect you to have strong interpersonal skills and the ability to apply your knowledge to commercial projects. This includes identifying user 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 ❯

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 ❯

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 ❯

progress, major breakthroughs, and product innovation Qualifications: Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research … OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. Confirmed people management experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the …/transfer and every two years thereafter. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) OR equivalent More ❯