101 to 125 of 240 Predictive Analytics Jobs in the UK

backlog items across the AIOps product lifecycle. Ownership of high-impact AIOps capabilities, including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self‐healing remediation. Partner across Operations, infrastructure, SRE, platform engineering, service management, application teams, security, and vendors to operationalize AIOps capabilities … observability, platform engineering, or related enterprise technology roles. Strong understanding of AIOps concepts, including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, and automated remediation. Experience defining product roadmaps, managing requirements and backlog priorities, and delivering technical platform capabilities across the product lifecycle. Bachelor ...

prioritized backlog items across the AIOps product lifecycle.Ownership of high-impact AIOps capabilities, including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self-healing remediation.Partner across Operations, infrastructure, SRE, platform engineering, service management, application teams, security, and vendors to operationalize AIOps capabilities and drive … operations, SRE, observability, platform engineering, or related enterprise technology roles.Strong understanding of AIOps concepts, including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, and automated remediation.Experience defining product roadmaps, managing requirements and backlog priorities, and delivering technical platform capabilities across the product lifecycle.Bachelor’s degree ...

Life Insurance market, delivering purpose-built solutions for the unique complexity of life, health, and protection risk.Our SaaS platform uses transparent machine learning and predictive analytics to improve the speed, accuracy, and reliability of actuarial pricing and reserving, addressing the long-term liability horizons, mortality and morbidity modelling ...

Senior Manager within our AI & Data practice, you will play a pivotal role in helping our clients unlock significant revenue growth through advanced analytics and AI-driven solutions. You will specialise in Revenue Growth Management (RGM), with a particular focus on Trade Promotion Optimisation (TPO) and Trade Promotion Management … hands-on with configuring and testing configured and developed systems and solutions.AI & Data Strategy:Lead advisory projects on leveraging AI, machine learning, and advanced analytics to enhance RGM capabilities, including predictive analytics for promotional effectiveness, pricing optimisation, and assortment management.Direct the development of data-driven insights ...

cutting-edge AI solutions that drive intelligent, automated, and forward-looking decision-making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems.Your ImpactAdvanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning … quantitative field.Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment.Background in forecasting, planning, or analytics applicationsFamiliarity with Anaplan or similar enterprise planning platformsExperience with A/B testing and experimentation frameworks for AI featuresContributions to open-source ML projects ...

migration and modernization of workloads to the cloud. Drive automation and infrastructure‐as‐code practices to improve operational efficiency. Drive AI‐powered FinOps and predictive resource optimization Mentor and guide engineers across teams, raising the overall technical bar. Collaborate with security, networking, and compliance teams to ensure platform meets … automated rollbacks, or service restarts) with built‐in verification and safety guardrails. AI‐Driven FinOps & Resource Optimization: Deep understanding of applying machine learning and predictive analytics to dynamically right‐size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms ...

migration and modernization of workloads to the cloud. Drive automation and infrastructure-as-code practices to improve operational efficiency. Drive AI-powered FinOps and predictive resource optimization Mentor and guide engineers across teams, raising the overall technical bar. Collaborate with security, networking, and compliance teams to ensure platform meets … rollbacks, or service re-starts) with built-in verification and safety guardrails. AI-Driven FinOps & Resource Optimization: Deep understanding of applying machine learning and predictive analytics to dynamically right-size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms ...

cutting‐edge AI solutions that drive intelligent, automated, and forward‐looking decision‐making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep … Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment. Background in forecasting, planning, or analytics applications. Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open ...

diverse global customer base across industries, from banking and payments to retail and restaurants.The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement … ResponsibilitiesClient Impact• Manage deliverable development and workstreams on projects across a range of industries and problem statements• Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value• Manage working relationship with client managers ...

rewarded.MUFG, one of the world’s most trusted financial groups, is seeking an Assistant Vice President to join their Financial Crime Operations Intelligence and Analytics team in London. This pivotal role offers you the opportunity to play a key part in enhancing global financial crime detection and prevention … sanctions screening systems across Europe, the Middle East, and Africa. You will be joining a collaborative environment that values your expertise in data analytics, model validation, and regulatory compliance, while providing you with exposure to cutting-edge technologies and international best practices. MUFG is committed to nurturing talent through ...

paradigms, with a clear emphasis on Data Science as the primary discipline for this role: Data Science (Primary Focus): Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes. Generative AI (Secondary): LLM‐powered applications such as RAG pipelines and document … paradigms (e.g. agent‐based systems) is a plus, but not required. We particularly value depth in applied data science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM‐based ...

using new generation technology for digital banking clients e.g., AI for onboarding; leveraging cloud technologies such as Banking as a Service, adoption of data analytics for risk assessment and predictive analytics on customer behaviour and pending; blockchain/DLT and zero trust security architecture to protect sensitive ...

using new generation technology for digital banking clients e.g., AI for onboarding; leveraging cloud technologies such as Banking as a Service, adoption of data analytics for risk assessment and predictive analytics on customer behaviour and pending; blockchain/DLT and zero trust security architecture to protect sensitive ...

using new generation technology for digital banking clients e.g., AI for onboarding; leveraging cloud technologies such as Banking as a Service, adoption of data analytics for risk assessment and predictive analytics on customer behaviour and pending; blockchain/DLT and zero trust security architecture to protect sensitive ...

using new generation technology for digital banking clients e.g., AI for onboarding; leveraging cloud technologies such as Banking as a Service, adoption of data analytics for risk assessment and predictive analytics on customer behaviour and pending; blockchain/DLT and zero trust security architecture to protect sensitive ...

using new generation technology for digital banking clients e.g., AI for onboarding; leveraging cloud technologies such as Banking as a Service, adoption of data analytics for risk assessment and predictive analytics on customer behaviour and pending; blockchain/DLT and zero trust security architecture to protect sensitive ...

Scientist to join a global team focused on building real-world data science and AI solutions for Risk & Trading workflows. This role will span predictive modelling, machine learning, and modern AI systems powered by large language models. This is an opportunity to own projects end-to-end, from problem … production delivery, working closely with stakeholders, engineers, and technology teams to deliver scalable, product-grade solutions. Key Responsibilities Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI. Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such ...

test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code to incrementally improve … areas: MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code Data Engineering: including platforms like Databricks for data processing and analytics Building a truly diverse, equitable, and inclusive ...

advising customers you’ll bring tremendous value to both our customers and team.The ideal candidate will have a history of driving adoption of analytics or BI platforms in mid-market or smaller enterprise accounts, a consultative approach to customer engagement, and experience leveraging AI and automation to enhance adoption … small and medium groups, running both live and remote enablement sessions enhanced by AI insights and analytics.Experiment with emerging AI tools (e.g., generative AI, predictive analytics, conversational AI) to optimise adoption and customer engagement across diverse EMEA accounts.What You Bring:3+ years experience in customer-facing roles; Customer ...

sessions with airline customers to assess AI maturity, operational challenges and transformation opportunities Design AI and machine learning solutions across areas such as automation, predictive analytics, NLP and generative AI Build proof of concepts, prototypes and scalable AI solution architectures Support RFPs, RFIs and technical proposals with clear … Contribute to thought leadership initiatives and help position the business as an AI‐first consultancy Requirements Strong experience delivering AI, machine learning or advanced analytics projects within consultancy or enterprise environments Deep hands‐on AI expertise across machine learning, generative AI and modern LLM ecosystems Strong understanding ...

identify opportunities for AI driven productivity, automation, and experience improvement. Design and implement AI use cases, including intelligent assistants, workflow automation, knowledge retrieval, and predictive insights. Drive adoption and change management, including training, communications, and user readiness activities. Establish governance frameworks for responsible AI usage, data protection, and compliance … JAMF) and how AI enhances device experience. Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks. Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow. Experience delivering AI focused change ...

data visualisation experience • Supply chain or manufacturing experience • Experience working with large, complex datasets Desirable • SQL • Lean Six Sigma • APICS CPIM/CSCP • Predictive analytics and digitisation initiatives Benefits • 25 days holiday plus bank holidays, with the option to purchase an additional week's leave • Additional annual leave ...

capabilities where relevant (e.g. data lineage, governance, feature management, and model integration patterns). Collaborate with wider technical teams to define integration approaches for predictive analytics, generative AI services, or model-driven systems. Recognise and address architectural implications of model lifecycle management (versioning, replicability, and auditability). Client ...

capabilities where relevant (e.g. data lineage, governance, feature management, and model integration patterns). Collaborate with wider technical teams to define integration approaches for predictive analytics, generative AI services, or model-driven systems. Recognise and address architectural implications of model lifecycle management (versioning, replicability, and auditability). Client ...

channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring : Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics : Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring ...