126 to 145 of 145 Predictive Analytics Jobs in London

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 with organisational goals and technological advancements. Design and implement a … large volumes of structured and 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 in cloud platforms (Azure, AWS 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 with organisational goals and technological advancements. Design and implement a … large volumes of structured and 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 in cloud platforms (Azure, AWS 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 with organisational goals and technological advancements. Design and implement a … large volumes of structured and 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 in cloud platforms (Azure, AWS 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 with organisational goals and technological advancements. Design and implement a … large volumes of structured and 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 in cloud platforms (Azure, AWS More ❯

creation or due diligence for financial or PE-backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C More ❯

creation or due diligence for financial or PE-backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C More ❯

creation or due diligence for financial or PE-backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C More ❯

creation or due diligence for financial or PE-backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C More ❯

the implementation and integration of new BI systems (e.g., Domo). Collect, analyse, and interpret complex data for strategic business improvements. Develop algorithms and models for machine learning and predictive analytics. Create, maintain, and improve BI databases and reporting dashboards. Provide analysis on products, pricing, and markets to identify trends. Collaborate with stakeholders to streamline reporting and support strategic … planning. What you'll need to succeed Proven commercial acumen with tangible analytics experience. Excellent communication and stakeholder management skills. Proficiency in SQL for data querying. Experience using Python for data analysis and aggregation. Familiarity with BI tools (Tableau, PowerBI, Domo). A self-starter with an analytical mindset and ability to work autonomously. Experience with Digital/Social More ❯

supporting infrastructure and maintenance operations. Translate operational and maintenance requirements into scalable, technology-enabled solutions. Ensure effective integration between enterprise systems such as ERP, EAM, GIS, SCADA, IoT, and analytics platforms. Collaborate with engineering, operations, and maintenance teams to align solution design with business objectives. Asset Maintenance & Management Systems Implement and enhance Enterprise Asset Management (EAM) and Computerized Maintenance … Management Systems (CMMS). Develop data models and workflows for preventive, corrective, and predictive maintenance. Leverage analytics, IoT, and AI tools to improve asset reliability and optimize maintenance schedules. Support the adoption of digital twins and condition-based maintenance initiatives. Infrastructure Systems & Operations Support Manage integration of digital solutions with rail infrastructure technologies, including signaling, track, power, and … solution documentation, architecture diagrams, and operational procedures. Innovation & Continuous Improvement Identify emerging technologies and best practices that enhance infrastructure performance, safety, and sustainability. Drive digital maturity through process automation, analytics, and continuous optimization initiatives. Support capability building and change management within cross-functional teams. Qualifications & Experience Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. More ❯

supporting infrastructure and maintenance operations. Translate operational and maintenance requirements into scalable, technology-enabled solutions. Ensure effective integration between enterprise systems such as ERP, EAM, GIS, SCADA, IoT, and analytics platforms. Collaborate with engineering, operations, and maintenance teams to align solution design with business objectives. Asset Maintenance & Management Systems Implement and enhance Enterprise Asset Management (EAM) and Computerized Maintenance … Management Systems (CMMS). Develop data models and workflows for preventive, corrective, and predictive maintenance. Leverage analytics, IoT, and AI tools to improve asset reliability and optimize maintenance schedules. Support the adoption of digital twins and condition-based maintenance initiatives. Infrastructure Systems & Operations Support Manage integration of digital solutions with rail infrastructure technologies, including signaling, track, power, and … solution documentation, architecture diagrams, and operational procedures. Innovation & Continuous Improvement Identify emerging technologies and best practices that enhance infrastructure performance, safety, and sustainability. Drive digital maturity through process automation, analytics, and continuous optimization initiatives. Support capability building and change management within cross-functional teams. Qualifications & Experience Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. More ❯

supporting infrastructure and maintenance operations. Translate operational and maintenance requirements into scalable, technology-enabled solutions. Ensure effective integration between enterprise systems such as ERP, EAM, GIS, SCADA, IoT, and analytics platforms. Collaborate with engineering, operations, and maintenance teams to align solution design with business objectives. Asset Maintenance & Management Systems Implement and enhance Enterprise Asset Management (EAM) and Computerized Maintenance … Management Systems (CMMS). Develop data models and workflows for preventive, corrective, and predictive maintenance. Leverage analytics, IoT, and AI tools to improve asset reliability and optimize maintenance schedules. Support the adoption of digital twins and condition-based maintenance initiatives. Infrastructure Systems & Operations Support Manage integration of digital solutions with rail infrastructure technologies, including signaling, track, power, and … solution documentation, architecture diagrams, and operational procedures. Innovation & Continuous Improvement Identify emerging technologies and best practices that enhance infrastructure performance, safety, and sustainability. Drive digital maturity through process automation, analytics, and continuous optimization initiatives. Support capability building and change management within cross-functional teams. Qualifications & Experience Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. More ❯

supporting infrastructure and maintenance operations. Translate operational and maintenance requirements into scalable, technology-enabled solutions. Ensure effective integration between enterprise systems such as ERP, EAM, GIS, SCADA, IoT, and analytics platforms. Collaborate with engineering, operations, and maintenance teams to align solution design with business objectives. Asset Maintenance & Management Systems Implement and enhance Enterprise Asset Management (EAM) and Computerized Maintenance … Management Systems (CMMS). Develop data models and workflows for preventive, corrective, and predictive maintenance. Leverage analytics, IoT, and AI tools to improve asset reliability and optimize maintenance schedules. Support the adoption of digital twins and condition-based maintenance initiatives. Infrastructure Systems & Operations Support Manage integration of digital solutions with rail infrastructure technologies, including signaling, track, power, and … solution documentation, architecture diagrams, and operational procedures. Innovation & Continuous Improvement Identify emerging technologies and best practices that enhance infrastructure performance, safety, and sustainability. Drive digital maturity through process automation, analytics, and continuous optimization initiatives. Support capability building and change management within cross-functional teams. Qualifications & Experience Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. More ❯

ship with purpose. Your responsibilities include: Take the lead on designing and developing core platform features, including AI/ML-powered capabilities like sentiment analysis for engagement data and predictive workforce analytics Architect scalable, modular solutions across key areas such as onboarding automation, employee engagement, and workforce scheduling Partner closely with Product and Design teams to shape technical More ❯

ship with purpose. Your responsibilities include: Take the lead on designing and developing core platform features, including AI/ML-powered capabilities like sentiment analysis for engagement data and predictive workforce analytics Architect scalable, modular solutions across key areas such as onboarding automation, employee engagement, and workforce scheduling Partner closely with Product and Design teams to shape technical More ❯

tailored data strategies,leveraging best-of-breed tools and open data ecosystems. Hands-on project delivery for some of the leading FTSE-100 companies, shaping how they apply data, analytics, and innovation across their business lifecycle Continuous learning and growth through Accenture’s world-class training programs, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose … governance, either from within industry or consulting, to inform strategic problem-solving and solution design. Contribute to projects involving data architecture optimization, data quality improvement, master data management, and predictive analytics. Collaborate with multidisciplinary teams - data engineers, data scientists, technologists, and client stakeholders - to co-create impactful data-driven solutions. Translate complex data frameworks and analytics into actionable More ❯

and engineering teams to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management, ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to … device issuance and return. Support TechBar and FSO (Field Support Operations) solution rollouts — defining capacity, technology stack, staffing, and user experience models. Incorporate DEX (Digital Employee Experience) metrics and analytics tools (e.g., Nexthink, Lakeside, Aternity) into proposals. Develop automation and AI agent use cases using chatbots, ServiceNow Virtual Agent, and custom LLM-based assistants for IT support automation. 2. … technical mentorship to delivery and field teams where required. 5. Automation, AI & Innovation Lead design of AI and automation-enabled workplace support ecosystems , integrating chatbots, self-healing tools, and predictive analytics. Recommend technologies to enhance operational efficiency and user experience (ServiceNow, Microsoft Copilot, Power Automate, UiPath, etc.). Define KPIs for AI-driven IT support (deflection rate, FCR, MTTR More ❯

and engineering teams to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management, ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to … device issuance and return. Support TechBar and FSO (Field Support Operations) solution rollouts — defining capacity, technology stack, staffing, and user experience models. Incorporate DEX (Digital Employee Experience) metrics and analytics tools (e.g., Nexthink, Lakeside, Aternity) into proposals. Develop automation and AI agent use cases using chatbots, ServiceNow Virtual Agent, and custom LLM-based assistants for IT support automation. 2. … technical mentorship to delivery and field teams where required. 5. Automation, AI & Innovation Lead design of AI and automation-enabled workplace support ecosystems , integrating chatbots, self-healing tools, and predictive analytics. Recommend technologies to enhance operational efficiency and user experience (ServiceNow, Microsoft Copilot, Power Automate, UiPath, etc.). Define KPIs for AI-driven IT support (deflection rate, FCR, MTTR More ❯

and engineering teams to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management, ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to … device issuance and return. Support TechBar and FSO (Field Support Operations) solution rollouts — defining capacity, technology stack, staffing, and user experience models. Incorporate DEX (Digital Employee Experience) metrics and analytics tools (e.g., Nexthink, Lakeside, Aternity) into proposals. Develop automation and AI agent use cases using chatbots, ServiceNow Virtual Agent, and custom LLM-based assistants for IT support automation. 2. … technical mentorship to delivery and field teams where required. 5. Automation, AI & Innovation Lead design of AI and automation-enabled workplace support ecosystems , integrating chatbots, self-healing tools, and predictive analytics. Recommend technologies to enhance operational efficiency and user experience (ServiceNow, Microsoft Copilot, Power Automate, UiPath, etc.). Define KPIs for AI-driven IT support (deflection rate, FCR, MTTR More ❯

and engineering teams to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management, ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to … device issuance and return. Support TechBar and FSO (Field Support Operations) solution rollouts — defining capacity, technology stack, staffing, and user experience models. Incorporate DEX (Digital Employee Experience) metrics and analytics tools (e.g., Nexthink, Lakeside, Aternity) into proposals. Develop automation and AI agent use cases using chatbots, ServiceNow Virtual Agent, and custom LLM-based assistants for IT support automation. 2. … technical mentorship to delivery and field teams where required. 5. Automation, AI & Innovation Lead design of AI and automation-enabled workplace support ecosystems , integrating chatbots, self-healing tools, and predictive analytics. Recommend technologies to enhance operational efficiency and user experience (ServiceNow, Microsoft Copilot, Power Automate, UiPath, etc.). Define KPIs for AI-driven IT support (deflection rate, FCR, MTTR More ❯