1 to 25 of 170 Predictive Analytics Jobs in London

with Queen's University Belfast have an exciting and innovative employment opportunity for a dynamic and motivated Computer Science/Data Science/Business Analytics graduate to work on a project to embed advanced predictive analytics, real-time data integration, and AI-driven tools into facilities management … competency across the industry varies, with some teams and subcontractors still facing challenges in adopting new technologies. This KTP project will embed AI-driven predictive analytics, real-time data integration, and process automation to further support frontline workers, enhance efficiency, compliance, and service delivery-while also supporting workforce … science languages such as python or R.* Relevant experience developing business intelligence solutions using tools such as Microsoft Power BI orsimilar.* Relevant experience in predictive analytics and machine learning.* Relevant experience in data management, including data storage and integration.* *may be demonstrated through the completion of a module More ❯

with Queen's University Belfast have an exciting and innovative employment opportunity for a dynamic and motivated Computer Science/Data Science/Business Analytics graduate to work on a project to embed advanced predictive analytics, real-time data integration, and AI-driven tools into facilities management … competency across the industry varies, with some teams and subcontractors still facing challenges in adopting new technologies. This KTP project will embed AI-driven predictive analytics, real-time data integration, and process automation to further support frontline workers, enhance efficiency, compliance, and service delivery-while also supporting workforce … science languages such as python or R.* Relevant experience developing business intelligence solutions using tools such as Microsoft Power BI orsimilar.* Relevant experience in predictive analytics and machine learning.* Relevant experience in data management, including data storage and integration.* *may be demonstrated through the completion of a module More ❯

with Queen's University Belfast have an exciting and innovative employment opportunity for a dynamic and motivated Computer Science/Data Science/Business Analytics graduate to work on a project to embed advanced predictive analytics, real-time data integration, and AI-driven tools into facilities management … competency across the industry varies, with some teams and subcontractors still facing challenges in adopting new technologies. This KTP project will embed AI-driven predictive analytics, real-time data integration, and process automation to further support frontline workers, enhance efficiency, compliance, and service delivery-while also supporting workforce … science languages such as python or R.* Relevant experience developing business intelligence solutions using tools such as Microsoft Power BI orsimilar.* Relevant experience in predictive analytics and machine learning.* Relevant experience in data management, including data storage and integration.* *may be demonstrated through the completion of a module More ❯

simple: to do more with what we already have. Are you ready to join us? ABOUT THE ROLE: As the Head of Customer Experience Analytics at Back Market, you will lead a high-impact analytics function that empowers teams with data-driven insights to enhance customer engagement, retention … and overall experience. You will own the experimentation framework, predictive analytics strategy, and performance measurement across key customer touchpoints, ensuring our decision-making is deeply rooted in data. This includes onboarding funnel optimization, LTV/churn modeling, feature adoption analysis, and in-app behavioral segmentation. Your leadership will … with senior product and business stakeholders to define the vision for a best-in-class end-to-end customer experience. Set priorities for key analytics projects and define the metrics that matter for impact tracking. Align on the enabling data strategies, platforms, and features that support long-term growth More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Subscription 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. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports … 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 More ❯

enabling smarter, more profitable, and sustainable decisions. As a key member of the Market Intelligence team, you will focus on analysing market dynamics, developing predictive models, and embedding insights into our trading platform. By combining deep knowledge of dry and wet commercial shipping markets with data science expertise, you … pre- and at-fixture spaces, delivering measurable improvements to user profitability and driving the evolution of our platform. Drive measurable customer success by embedding predictive analytics and actionable insights into SaaS workflows, enabling smarter, sustainable, and more profitable shipping decisions. Enhance platform value through outcome-focused data-driven … inform better decision-making. Implement frameworks to measure market coverage and responsiveness, ensuring the platform evolves in line with dynamic market needs. Data Science & Predictive Analytics Build and refine predictive models to forecast freight rates, supply-demand dynamics, and market conditions, with a focus on enabling sustainable More ❯

World-leading, advanced data and analytics AI platform is searching for a Technical Adoption Engineer – EMEA —as part of the EMEA Advanced Customer Enablement (ACE) program—to join their growing team in London . In this role, you’ll collaborate closely with customer teams to drive the adoption and … related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness Leverage AI capabilities within the platform and integrate external AI tools and LLMs … to enhance data insights, automation, and predictive analytics Advanced pro code app development and customisation (beneficial) using JavaScript, HTML, and CSS for enhanced user experiences to extend dashboard functionality. Qualifications A STEM degree (or equivalent) from a top-tier university 5+ years’ experience in a technical, data-focused More ❯

movement, and activation across structured, semi-structured, and unstructured data formats. Build End-to-End Governance & Operations Embed data quality, lineage, governance, and operational analytics as core platform features, ensuring enterprises have built-in compliance and data integrity controls. Develop native observability and automation tools to monitor pipeline performance … large-scale deployments. Drive AI-Powered Innovation Leverage AI to enhance data classification, transformation recommendations, and self-healing pipelines that minimize operational overhead. Integrate predictive analytics and semantic enrichment to automate data mapping, improve pipeline efficiency, and surface actionable insights. Work with AI research teams to infuse machine … learning into Workato’s data services, driving continuous optimization and smarter decision-making. Advanced Data Virtualization & Analytics Architect a self-service data virtualization platform that provides a self-service experience, enabling users to explore and analyze data from third-party apps, data warehouses, data lakes, Workato usage data, and More ❯

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 ❯

a difference; believe in each other to do great things Stay curious - we have fun on the journey of discovery Role Overview: As an Analytics Manager, you will take a leading role in the delivery of analytical solutions for our key global accounts. This position involves not only executing … outcomes. This role is ideal for an experienced analyst looking to further develop their expertise while contributing to the growth and innovation of the analytics function. Key Responsibilities: Ownership of Analytics Output: Lead the delivery of analytics outputs for assigned accounts and campaigns, ensuring that insights are … Programmes: Design and deploy test and learn initiatives that deliver measurable value. Innovation and Development: Contribute to the evolution of the organisation’s data analytics offering by exploring and implementing new techniques in marketing, consumer research, predictive analytics, and machine learning. Mentorship: Guide and mentor junior analysts More ❯

a difference; believe in each other to do great things Stay curious - we have fun on the journey of discovery Role Overview: As an Analytics Manager, you will take a leading role in the delivery of analytical solutions for our key global accounts. This position involves not only executing … outcomes. This role is ideal for an experienced analyst looking to further develop their expertise while contributing to the growth and innovation of the analytics function. Key Responsibilities: Ownership of Analytics Output: Lead the delivery of analytics outputs for assigned accounts and campaigns, ensuring that insights are … Programmes: Design and deploy test and learn initiatives that deliver measurable value. Innovation and Development: Contribute to the evolution of the organisation’s data analytics offering by exploring and implementing new techniques in marketing, consumer research, predictive analytics, and machine learning. Mentorship: Guide and mentor junior analysts More ❯

World-leading, advanced data and analytics AI platform is searching for a Technical Adoption Consultant – as part of the EMEA Advanced Customer Enablement (ACE) program – to join their growing team in London . In this role, you’ll collaborate closely with customer teams to drive the adoption and successful … related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness Leverage AI capabilities within the platform and integrate external AI tools and LLMs … to enhance data insights, automation, and predictive analytics Advanced pro code app development and customisation (beneficial) using JavaScript, HTML, and CSS for enhanced user experiences to extend dashboard functionality. Qualifications A STEM degree (or equivalent) from a top-tier university 5+ years’ experience in a technical, data-focused More ❯

World-leading, advanced data and analytics AI platform is searching for a Technical Adoption Consultant – as part of the EMEA Advanced Customer Enablement (ACE) program – to join their growing team in London . In this role, you’ll collaborate closely with customer teams to drive the adoption and successful … related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness Leverage AI capabilities within the platform and integrate external AI tools and LLMs … to enhance data insights, automation, and predictive analytics Advanced pro code app development and customisation (beneficial) using JavaScript, HTML, and CSS for enhanced user experiences to extend dashboard functionality. Qualifications A STEM degree (or equivalent) from a top-tier university 5+ years’ experience in a technical, data-focused More ❯

skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Harnham Senior Recruitment Consultant - Digital Analytics We are looking for a mid-level Data Scientist to join a fast-moving project focused on predictive analytics . This is … opportunity to make a real impact - refining existing algorithms and building new models to improve business performance. The Role: Analyse and improve an existing predictive algorithm. Develop new models focusing on propensity and churn prediction. Work with large datasets using Python and SQL . Communicate findings clearly and collaborate … with technical and non-technical stakeholders. What We're Looking For: Solid hands-on experience in predictive analytics , especially around propensity modelling and churn analysis . Strong technical skills in Python (Pandas, Scikit-learn, etc.) and SQL . Excellent communication skills - able to explain complex insights clearly. Self More ❯

enhance operational resilience. Lead the transition from traditional IT operations to a proactive, AI-driven, self-healing infrastructure. Establish a global observability, telemetry, and predictive analytics framework for real-time insights. Align operational strategies with business goals, ensuring IT supports digital transformation initiatives across BCG Core, BCG X … hybrid environments. Proven track record in end-to-end automation, Infrastructure as Code (IaC), and large-scale observability. Experience in AI-driven IT operations, predictive analytics, and automated remediation. Strong understanding of zero-trust security, regulatory compliance, and risk management. Excellent leadership, communication, and stakeholder management skills. Preferred More ❯

enhance operational resilience. Lead the transition from traditional IT operations to a proactive, AI-driven, self-healing infrastructure. Establish a global observability, telemetry, and predictive analytics framework for real-time insights. Align operational strategies with business goals, ensuring IT supports digital transformation initiatives across BCG Core, BCG X … hybrid environments. Proven track record in end-to-end automation, Infrastructure as Code (IaC), and large-scale observability. Experience in AI-driven IT operations, predictive analytics, and automated remediation. Strong understanding of zero-trust security, regulatory compliance, and risk management. Excellent leadership, communication, and stakeholder management skills. Preferred More ❯

Observability Product Development Work with engineering teams to develop an AI-driven observability and automation platform, leveraging: Telemetry ingestion (Kafka, OpenTelemetry, Fluentd). Streaming analytics (Flink, Spark, CEP engines). AI-driven anomaly detection & automation (AutoGPT, LangChain, MLflow, TensorFlow). Define technical requirements and architecture priorities for engineering teams. … Partner with data scientists to improve AI-driven predictive analytics, anomaly detection, and root cause analysis. Collaborate with banks, trading firms, and financial services IT teams to understand operational challenges. Develop use cases for AI-driven observability, fraud detection, self-healing infrastructure, and compliance monitoring. Work closely with … financial services. Deep understanding of banking IT architectures, including trading systems, core banking, risk management, and fraud detection. Experience working with AI-driven monitoring, predictive analytics, or automation tools. Experience defining and executing product roadmaps, from idea to launch and scale. Hands-on experience with telemetry data (logs More ❯

Observability Product Development Work with engineering teams to develop an AI-driven observability and automation platform, leveraging: Telemetry ingestion (Kafka, OpenTelemetry, Fluentd). Streaming analytics (Flink, Spark, CEP engines). AI-driven anomaly detection & automation (AutoGPT, LangChain, MLflow, TensorFlow). Define technical requirements and architecture priorities for engineering teams. … Partner with data scientists to improve AI-driven predictive analytics, anomaly detection, and root cause analysis. Collaborate with banks, trading firms, and financial services IT teams to understand operational challenges. Develop use cases for AI-driven observability, fraud detection, self-healing infrastructure, and compliance monitoring. Work closely with … financial services. Deep understanding of banking IT architectures, including trading systems, core banking, risk management, and fraud detection. Experience working with AI-driven monitoring, predictive analytics, or automation tools. Experience defining and executing product roadmaps, from idea to launch and scale. Hands-on experience with telemetry data (logs More ❯

required: Yes col-narrow-right Job Reference: 55e5310a8ff6 Job Views: 4 Posted: 29.04.2025 Expiry Date: 13.06.2025 col-wide Job Description: Department Moody’s Analytics Quantum Computing team explores, researches, and implements quantum computing and communications solutions across the different organizational units of the company. Role/Responsibilities This … needs in order to recommend solutions where a quantum or quantum inspired approach may be optimal. » Provide guidance to other groups throughout Moody’s Analytics on best practices and advanced techniques. » Contribute to Moody’s IP by developing innovative solutions and use cases in collaboration with our partners and … ML groups inside the company to find hybrid solutions and benchmarks. Additional Requirements: » Performing statistical analysis on financial, climate and other type of data. » Predictive analytics » Conceptual modelling » Creating examples, prototypes, demonstrations » Have the ability to work in a fast-paced, competitive and multidisciplinary environment » Be able 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 ❯

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 ❯