51 to 75 of 145 Predictive Analytics Jobs in the UK

Experience within a UK construction, main contractor, or infrastructure setting Desirable: integration with finance/planning systems, supply chain knowledge, Power BI exposure, or predictive analytics awareness Key Competencies Analytical and data-driven with strong commercial awareness Able to translate complex data into clear insight Strong stakeholder engagement ...

Azure AI Search, Semantic Kernel, Microsoft Agent Framework or similar technologies. Experience with data modelling, governance, security and enterprise architecture. Exposure to machine learning, predictive analytics or forecasting solutions. Relevant Microsoft or cloud platform certifications, such as AI-102, AI-103, AB-620 or equivalent. ...

Generative AI o Ambient Voice Technology o Clinical documentation automation o Intelligent workflow automation o Robotic Process Automation (RPA) o AI agents o Predictive analytics o Microsoft Copilot and Microsoft Power Platform o Oracle Health AI capabilities o NHS national AI initiatives You'll be joining a Digital ...

/ML solutions that improve the functionality, scalability, and efficiency of our Workday product suite. You will focus on cutting edge innovations, such as predictive analytics for workforce planning, anomaly detection in financial processes, and intelligent automation for Workday applications. You will collaborate closely with customers, mentor your … including leveraging cloud-native AI tools like SageMaker, Vertex AI, or Azure ML Studio. Demonstrable expertise in creating interactive dashboards and visual analytics using tools such as Streamlit, Plotly, Dash, or D3.js. Proven experience leading, mentoring, and formally line-managing data science teams, including conducting performance appraisals and supporting ...

/ML solutions that improve the functionality, scalability, and efficiency of our Workday product suite. You will focus on cutting edge innovations, such as predictive analytics for workforce planning, anomaly detection in financial processes, and intelligent automation for Workday applications. You will collaborate closely with customers, mentor your … including leveraging cloud-native AI tools like SageMaker, Vertex AI, or Azure ML Studio. Demonstrable expertise in creating interactive dashboards and visual analytics using tools such as Streamlit, Plotly, Dash, or D3.js. Proven experience leading, mentoring, and formally line-managing data science teams, including conducting performance appraisals and supporting ...

evolving, and consultancies are at the forefront-helping clients modernise legacy ecosystems, embrace decentralised data models, and build domain-driven data products that unlock analytics, automation and AI. As a Senior Manager in our consulting practice, you will lead the design of strategic, business-focused data models for major … business priorities. Develop a unified language for data -dictionaries, vocabularies, taxonomies and ontologies that allow teams to interpret data consistently. Shape data and analytics architectures collaboratively with solution and enterprise architects. Act as a trusted advisor to senior stakeholders, helping them navigate design choices and achieve measurable business outcomes. ...

practices that embed technology-driven approaches into daily operations and long-term asset management. Lead the continuous improvement agenda, utili s ing building data analytics and performance insights to drive optimi s ation across all engineering disciplines. Create and maintain the strategic roadmap for technology adoption, system upgrades … ation becomes second nature. Technology Integration & Innovation Champion the adoption and optimi s ation of sophisticated building technologies including advanced BMS, IoT platforms, predictive maintenance systems, building analytics, and energy management solutions. Ensure all engineering activities leverage smart building capabilities for diagnostics, performance monitoring, predictive maintenance ...

please only apply if you have the full, unencumbered right to work in the UK. A large UK organisation with a mature data and analytics function is looking for a Data Engineer to join its central data team. This role will focus on designing, building, and maintaining data products … that enable trusted reporting, analytics, and advanced AI initiatives. Working closely with analysts and business stakeholders, you will transform complex requirements into scalable, well-governed data solutions. Key Responsibilities Design, build, and maintain data models across modern data platform environments, including lakehouse, warehouse, and semantic modelling layers. Develop ...

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 ...

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 ...

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 ...

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 ...

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 ...

edge applied machine learning, foundational research, and seamless ML operations, the team harnesses data to revolutionize the online gambling and sports betting experience. From predictive analytics and personalization to fraud detection and real‐time recommendations, the team transforms complex data into actionable insights that enhance customer engagement, trust ...

edge applied machine learning, foundational research, and seamless ML operations, the team harnesses data to revolutionize the online gambling and sports betting experience. From predictive analytics and personalization to fraud detection and real‐time recommendations, the team transforms complex data into actionable insights that enhance customer engagement, trust ...

challenges of the insurance broking industry.**Key Responsibilities:****AI Project Delivery**· Lead end-to-end delivery of AI projects such as intelligent document processing, predictive analytics for risk profiling, and chatbot deployment.· Manage project scope, timelines, prioritisation, budgets, and resources, ensuring alignment with business objectives.· Oversee the integration ...

level risk models Extract, cleanse, manipulate and prepare large datasets using Python and SQL to support model development, validation and deployment. Build and optimise predictive models using TransUnion and Equifax bureau data, ensuring appropriate variable selection, mapping and regulatory compliance. Perform model validation activities including: Back-testing Population stability … capability across the wider Credit Risk team. Essential Skills & Experience Technical Skills Strong Python programming skills with extensive experience in: Feature engineering Statistical modelling Predictive analytics Model development Advanced SQL skills with experience extracting and transforming large, complex datasets. Proven experience developing and implementing: Application scorecards Behavioural ...