51 to 75 of 289 Predictive Analytics Jobs in the UK

Currently partnered with an International Legal Services company who are searching for a Head of Data & Analytics on 2 year FTC basis where you’ll play a key role in building and managing Data & Analytics function as well as developing and executing Data Strategy aligning with business goals. Scope of role: Build and manage Data & Analytics function … of Conduct. Collaborate closely with the CIO providing key recommendations in establishing scalable data foundations and enabling a basis for capitalising on emerging AI Technologies. Oversee deployment of advanced analytics tools, predictive analytics, machine learning and gen AI tech with the view of delivering actionable insights and enhancing products. Experience required: Bachelors in Computer Science, Data Science … Information Technology or related studies. Extensive Data Management, analytics and similar leadership experience ideally across Legal, Insurance, or Financial Services industries. Proven track record in developing and executing Data Strategies, Data Governance, quality and compliance. Strong knowledge in designing scalable Data Architectures and integrating various data resources. Leadership and strong stakeholder management skills and ability to adapt to a 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 ❯

strategies for our clients. Responsibilities: Deliver implementation and ongoing management of the customer data platforms from various vendors. Rapidly diagnose and understand the complexities of existing technologies, including CRM, analytics tools, marketing platforms and data warehouses. Advise and ensure the appropriate integration strategies for clients based on their legacy technology stack. Maintain system health, troubleshoot issues, and implement updates … governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes More ❯

for our clients. Key responsibilities: Deliver implementation and ongoing management of the customer data platforms from various vendors. Rapidly diagnose and understand the complexities of existing technologies, including CRM, analytics tools, marketing platforms and data warehouses. Advise and ensure the appropriate integration strategies for clients based on their legacy technology stack. Maintain system health, troubleshoot issues, and implement updates … governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes More ❯

for our clients. Key responsibilities: Deliver implementation and ongoing management of the customer data platforms from various vendors. Rapidly diagnose and understand the complexities of existing technologies, including CRM, analytics tools, marketing platforms and data warehouses. Advise and ensure the appropriate integration strategies for clients based on their legacy technology stack. Maintain system health, troubleshoot issues, and implement updates … governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes More ❯

for our clients. Key responsibilities: Deliver implementation and ongoing management of the customer data platforms from various vendors. Rapidly diagnose and understand the complexities of existing technologies, including CRM, analytics tools, marketing platforms and data warehouses. Advise and ensure the appropriate integration strategies for clients based on their legacy technology stack. Maintain system health, troubleshoot issues, and implement updates … governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes More ❯

for our clients. Key responsibilities: Deliver implementation and ongoing management of the customer data platforms from various vendors. Rapidly diagnose and understand the complexities of existing technologies, including CRM, analytics tools, marketing platforms and data warehouses. Advise and ensure the appropriate integration strategies for clients based on their legacy technology stack. Maintain system health, troubleshoot issues, and implement updates … governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes More ❯

10+ years of experience in at least one of the following: SAP Analytics Cloud, SAC Planning, S4HANA Analytics, SAP Datasphere Data Warehouse Cloud – DWC -23 full life cycle implementations exposure -Expert level knowledge of at least one of the SAP data warehousing solutions like SAP BW4HANA or SAP HANA esp. HANA Cloud or HANA 2.0 for both modelling … and scripting including ability to write complex stored procedures. High level knowledge of various replication methods to HANA or BW -knowledge of deployment modes of various SAP Analytics solutions Cloud, OnPremise, Hybrid would be a plus -Good core consulting skills – Oral and written communication, organization and planning, client facing and interpersonal skills -Good knowledge of latest trends in Analytics space including platforms and solutions from other vendors -Experience working on mixed modelling with BW4HANA and HANA native modelling. -Knowledge on S4HANA Analytics like building and extending CDS Views, Creating Query Views or Building KPIs using KPI Modeller is preferred. -Handson experience in advanced analytics domain like Predictive Analytics or SAC Smart Features, SAC Application More ❯

10+ years of experience in at least one of the following: SAP Analytics Cloud, SAC Planning, S4HANA Analytics, SAP Datasphere Data Warehouse Cloud – DWC -23 full life cycle implementations exposure -Expert level knowledge of at least one of the SAP data warehousing solutions like SAP BW4HANA or SAP HANA esp. HANA Cloud or HANA 2.0 for both modelling … and scripting including ability to write complex stored procedures. High level knowledge of various replication methods to HANA or BW -knowledge of deployment modes of various SAP Analytics solutions Cloud, OnPremise, Hybrid would be a plus -Good core consulting skills – Oral and written communication, organization and planning, client facing and interpersonal skills -Good knowledge of latest trends in Analytics space including platforms and solutions from other vendors -Experience working on mixed modelling with BW4HANA and HANA native modelling. -Knowledge on S4HANA Analytics like building and extending CDS Views, Creating Query Views or Building KPIs using KPI Modeller is preferred. -Handson experience in advanced analytics domain like Predictive Analytics or SAC Smart Features, SAC Application More ❯

10+ years of experience in at least one of the following: SAP Analytics Cloud, SAC Planning, S4HANA Analytics, SAP Datasphere Data Warehouse Cloud - DWC -23 full life cycle implementations exposure -Expert level knowledge of at least one of the SAP data warehousing solutions like SAP BW4HANA or SAP HANA esp. HANA Cloud or HANA 2.0 for both modelling … and scripting including ability to write complex stored procedures. High level knowledge of various replication methods to HANA or BW -knowledge of deployment modes of various SAP Analytics solutions Cloud, OnPremise, Hybrid would be a plus -Good core consulting skills - Oral and written communication, organization and planning, client facing and interpersonal skills -Good knowledge of latest trends in Analytics space including platforms and solutions from other vendors -Experience working on mixed modelling with BW4HANA and HANA native modelling. -Knowledge on S4HANA Analytics like building and extending CDS Views, Creating Query Views or Building KPIs using KPI Modeller is preferred. -Handson experience in advanced analytics domain like Predictive Analytics or SAC Smart Features, SAC Application More ❯

Claims Analytics Senior Manager (Fortune 500 FS/Insurance Firm) Location: London (Hybrid – 2 days in office) Salary: Up to £125,000 base + 20% bonus + excellent benefits Be the architect of a new Claims Analytics function. We’re partnered with a Fortune 500 financial services firm seeking an experienced Claims Analytics Senior Manager to design … and establish a best-in-class analytics capability that transforms how claims and underwriting decisions are made. In this newly created position, you’ll work closely with claims leadership to build an analytics framework from the ground up — delivering insights that drive performance, operational efficiency, and smarter strategic decisions across the international portfolio. What you’ll do Lead … the design and development of the Claims Analytics framework, defining key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI More ❯

Claims Analytics Senior Manager (Fortune 500 FS/Insurance Firm) Location: London (Hybrid – 2 days in office) Salary: Up to £125,000 base + 20% bonus + excellent benefits Be the architect of a new Claims Analytics function. We’re partnered with a Fortune 500 financial services firm seeking an experienced Claims Analytics Senior Manager to design … and establish a best-in-class analytics capability that transforms how claims and underwriting decisions are made. In this newly created position, you’ll work closely with claims leadership to build an analytics framework from the ground up — delivering insights that drive performance, operational efficiency, and smarter strategic decisions across the international portfolio. What you’ll do Lead … the design and development of the Claims Analytics framework, defining key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI More ❯

Claims Analytics Senior Manager (Fortune 500 FS/Insurance Firm) Location: London (Hybrid - 2 days in office) Salary: Up to £125,000 base + 20% bonus + excellent benefits Be the architect of a new Claims Analytics function. We're partnered with a Fortune 500 financial services firm seeking an experienced Claims Analytics Senior Manager to design … and establish a best-in-class analytics capability that transforms how claims and underwriting decisions are made. In this newly created position, you'll work closely with claims leadership to build an analytics framework from the ground up - delivering insights that drive performance, operational efficiency, and smarter strategic decisions across the international portfolio. What you'll do Lead … the design and development of the Claims Analytics framework, defining key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI More ❯

Claims Analytics Senior Manager (Fortune 500 FS/Insurance Firm) Location: London (Hybrid – 2 days in office) Salary: Up to £125,000 base + 20% bonus + excellent benefits Be the architect of a new Claims Analytics function. We’re partnered with a Fortune 500 financial services firm seeking an experienced Claims Analytics Senior Manager to design … and establish a best-in-class analytics capability that transforms how claims and underwriting decisions are made. In this newly created position, you’ll work closely with claims leadership to build an analytics framework from the ground up — delivering insights that drive performance, operational efficiency, and smarter strategic decisions across the international portfolio. What you’ll do Lead … the design and development of the Claims Analytics framework, defining key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI More ❯

Claims Analytics Senior Manager (Fortune 500 FS/Insurance Firm) Location: London (Hybrid – 2 days in office) Salary: Up to £125,000 base + 20% bonus + excellent benefits Be the architect of a new Claims Analytics function. We’re partnered with a Fortune 500 financial services firm seeking an experienced Claims Analytics Senior Manager to design … and establish a best-in-class analytics capability that transforms how claims and underwriting decisions are made. In this newly created position, you’ll work closely with claims leadership to build an analytics framework from the ground up — delivering insights that drive performance, operational efficiency, and smarter strategic decisions across the international portfolio. What you’ll do Lead … the design and development of the Claims Analytics framework, defining key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI More ❯

Claims Analytics Senior Manager (Fortune 500 FS/Insurance Firm) Location: London (Hybrid – 2 days in office) Salary: Up to £125,000 base + 20% bonus + excellent benefits Be the architect of a new Claims Analytics function. We’re partnered with a Fortune 500 financial services firm seeking an experienced Claims Analytics Senior Manager to design … and establish a best-in-class analytics capability that transforms how claims and underwriting decisions are made. In this newly created position, you’ll work closely with claims leadership to build an analytics framework from the ground up — delivering insights that drive performance, operational efficiency, and smarter strategic decisions across the international portfolio. What you’ll do Lead … the design and development of the Claims Analytics framework, defining key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI More ❯

a team and driving the data strategy. The successful candidate will have experience building and maintaining data warehouses. Role & Responsibilities Lead the development of a comprehensive Data, BI and Analytics strategy, creating a “single version of the truth” across multiple ERP systems, IT platforms, and digital sources. Oversee the design and delivery of data warehouses, BI solutions, and reporting … support digital transformation, while educating and influencing teams that are not yet data-savvy. Lead and grow a data team, while working closely with external partners. Champion innovation in analytics, AI, and predictive insights to optimise performance and create business value Skills & Experience: We’re looking for a candidate who can balance technical expertise with leadership and change … requirements for operations, finance, and commercial functions. A track record of shaping centralised reporting solutions from fragmented and siloed data sources. Desirable – but not essential: AI/ML and predictive analytics Knowledge of IoT data integration Familiarity with multiple ERP systems and complex data landscapes. This is an incredible opportunity to shape and build the data function in More ❯

a team and driving the data strategy. The successful candidate will have experience building and maintaining data warehouses. Role & Responsibilities Lead the development of a comprehensive Data, BI and Analytics strategy, creating a “single version of the truth” across multiple ERP systems, IT platforms, and digital sources. Oversee the design and delivery of data warehouses, BI solutions, and reporting … support digital transformation, while educating and influencing teams that are not yet data-savvy. Lead and grow a data team, while working closely with external partners. Champion innovation in analytics, AI, and predictive insights to optimise performance and create business value Skills & Experience: We’re looking for a candidate who can balance technical expertise with leadership and change … requirements for operations, finance, and commercial functions. A track record of shaping centralised reporting solutions from fragmented and siloed data sources. Desirable – but not essential: AI/ML and predictive analytics Knowledge of IoT data integration Familiarity with multiple ERP systems and complex data landscapes. This is an incredible opportunity to shape and build the data function in More ❯

and deepening client relationships through high touch, bespoke advisory services. The Director of Research and Applied Technology is a senior leader responsible for establishing and advancing LHH's applied analytics and AI capabilities to support the HR & Talent Advisory business. This role combines data science expertise with strategic technology enablement to identify, evaluate, and implement next generation analytic tools … processing, and data visualization to inform strategic investment decisions. Partner with cross functional teams to integrate data science solutions into existing and new HR advisory offerings. Data Science & Advanced Analytics Develop frameworks for data acquisition, governance, and integration across consulting practices. Leverage data science methods, including predictive analytics, NLP, and generative AI, to deliver insights that support … data and AI insights into actionable business strategies and compelling narratives for clients. Internal Enablement & Knowledge Management Develop playbooks, frameworks, dashboards for aggregated client analysis, and reference architectures for analytics and AI adoption across practices. Train internal teams on applied technology tools, ensuring understanding of data driven methodologies. Provide alignment across practice areas and build efficiency through shared technology More ❯

strategy and systems used to assess the creditworthiness and financial capacity of loan applicants. This role focuses on building the overall architecture for the lending process, combining data, advanced analytics, and regulatory knowledge to create automated, efficient, and compliant decision-making platforms. Responsibilities Architecting decision platforms: Design, build, and implement the technical architecture for end-to-end credit risk … a deep blend of technical, analytical, and financial knowledge. Decision engine platforms: Extensive experience with industry-standard decisioning software like FICO Blaze Advisor, Pega, or other rule-based and predictive analytics tools. Data and analytics: Expert knowledge of data analysis tools and programming languages (eg, Python, R, SAS) and proficiency in database and data warehousing technologies. System 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 ❯

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 ❯