251 to 275 of 289 Predictive Analytics Jobs in the UK

3.Performance & Quality Measure and report automation, accuracy, and adoption metrics. Use AI‐driven insights to accelerate design-for-excellence reviews and failure analysis. Support DFX and reliability efforts with predictive analytics. We’re Looking For: 7+ years in engineering leadership, R&D operations, or data/AI enablement within complex hardware or robotics systems. Deep understanding of software or More ❯

3.Performance & Quality Measure and report automation, accuracy, and adoption metrics. Use AI‐driven insights to accelerate design-for-excellence reviews and failure analysis. Support DFX and reliability efforts with predictive analytics. We’re Looking For: 7+ years in engineering leadership, R&D operations, or data/AI enablement within complex hardware or robotics systems. Deep understanding of software or More ❯

3.Performance & Quality Measure and report automation, accuracy, and adoption metrics. Use AI‐driven insights to accelerate design-for-excellence reviews and failure analysis. Support DFX and reliability efforts with predictive analytics. We’re Looking For: 7+ years in engineering leadership, R&D operations, or data/AI enablement within complex hardware or robotics systems. Deep understanding of software or More ❯

3.Performance & Quality Measure and report automation, accuracy, and adoption metrics. Use AI‐driven insights to accelerate design-for-excellence reviews and failure analysis. Support DFX and reliability efforts with predictive analytics. We’re Looking For: 7+ years in engineering leadership, R&D operations, or data/AI enablement within complex hardware or robotics systems. Deep understanding of software or More ❯

3.Performance & Quality Measure and report automation, accuracy, and adoption metrics. Use AI‐driven insights to accelerate design-for-excellence reviews and failure analysis. Support DFX and reliability efforts with predictive analytics. We’re Looking For: 7+ years in engineering leadership, R&D operations, or data/AI enablement within complex hardware or robotics systems. Deep understanding of software or 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 ❯

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 ❯

impact. Overview Ciena's Supply Chain Data Services team drives insights and informed decisions through data. As a Supply Chain Data Services Analyst, you will develop and enhance operational, predictive, and forward-looking analytics tools that empower our global Supply Chain organization. How You Will Contribute Reporting to the Manager, Supply Chain Data Services Enablement, you will: Support … and enhance existing Business Intelligence (BI) and analytics solutions. Analyze business requirements and design optimal BI and data solutions. Develop new analytical tools that enable point-of-use insights across the Supply Chain. Modernize and migrate legacy BI solutions to next-generation environments. Integrate AI-driven capabilities into analytics solutions. Collaborate with stakeholders across Product Line Management, Supply … ensuring their effective use and continuous improvement. The Must Haves Education: Bachelor's degree (Honours preferred) in an IT-related discipline. Experience: Proven background in Business Intelligence or Data Analytics, ideally within supply chain or operations. Technical Skills: + Alteryx - Data model design, advanced workflows, and analytics (certification an advantage). + Power BI - Visualization, DAX, data modeling 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 ❯

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 ❯

Experiences Substantial experience in data analysis or a related field. Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI, Tableau People Analytics - Extensive knowledge of people reporting requirements. HRIS and Org Modelling systems - Good understanding of people systems, technologies and people data sets Substantial experience of HR processes, employment life cycle … and annual people cycles including workforce planning methodologies. Knowledge of business intelligence platforms and predictive analytics. Experience working in cross-functional teams and presenting to senior leadership to drive business decisions. Proven ability to manage and develop high-performing teams. More ❯

Experiences Substantial experience in data analysis or a related field. Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI, Tableau People Analytics - Extensive knowledge of people reporting requirements. HRIS and Org Modelling systems - Good understanding of people systems, technologies and people data sets Substantial experience of HR processes, employment life cycle … and annual people cycles including workforce planning methodologies. Knowledge of business intelligence platforms and predictive analytics. Experience working in cross-functional teams and presenting to senior leadership to drive business decisions. Proven ability to manage and develop high-performing teams. More ❯

to apply)job requisition id: R11015 Together we are Trusted to Serve Scotland. Data Science Manager The role In this role, you'll drive the vision and strategy for analytics and data science, aligning initiatives with the right technical approaches to deliver real business value. Working closely with the Delivery Manager you will deliver analytics products and ML …/AI systems that support operational, tactical, and strategic decision-making. You'll also play a key part in developing analytics talent and building a high-performing, adaptable team. What you'll do You'll lead the strategic direction and ongoing development of Advanced Analytics & AI across the organisation, guiding the implementation of analytics solutions and deciding … platforms and architecture.Your work will include developing advanced asset deterioration models and analytical tools to support tactical asset management decisions, long-term planning, and investment strategies. You'll integrate analytics and AI governance with broader organisational frameworks, including data stewardship, security, and privacy by design. You'll nurture analytics talent, support career development, and build a thriving community More ❯

Are you passionate about transforming operational excellence through data? Do you thrive in a fast-paced, regulated environment where analytics drive strategic decisions? Join our team at a leading global insurance company and help shape the future of operational performance across the UK and Ireland. About the Role As the Operation Excellence Data Mining & Analytics Lead , you’ll … that enable actionable insights from enterprise operational data. Your work will directly impact efficiency, customer outcomes and regulatory compliance. Key Responsibilities Lead the data strategy for OpEx mining and analytics across UKI. Identify process inefficiencies and performance gaps using advanced analytics. Develop dashboards and reporting frameworks to support transformation and digitisation. Ensure governance around data quality, security and ethical … analytics use. Translate complex data into clear, actionable insights for senior stakeholders. Build and manage high-performing analytics teams, partnering with IT, AI and other guilds. Oversee resource allocation and guild standards to ensure consistent delivery. What We’re Looking For Proven experience in leading data analytics Hands-on expertise in data mining, machine learning and predictive 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 ❯