51 to 75 of 97 Predictive Analytics Jobs in the UK excluding London

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 ...

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 ...

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 ...

business development activities, support strategic account planning, influence purchasing decisions, and provide clinical expertise during procurement, implementation, and transformation initiatives.Key ResponsibilitiesFollow trends in Healthcare Analytics, Evidence Based Medicine, Clinical Quality Measures, Accountable Care and Clinical Decision Support and advise Executive leadership and product development teamsPlay a key role … diversity of personalities. Is approachable and presents data with effective communication and presentation skills. Must be an effective consensus builderDirect experience with Healthcare Analytics, Clinical Decision Support systems, Evidence Based Medicine, Clinical Quality Measures, and Electronic Health Record systemsClinical domain knowledge and credibility within healthcare communityInterpersonal, communication (verbal ...

business development activities, support strategic account planning, influence purchasing decisions, and provide clinical expertise during procurement, implementation, and transformation initiatives.Key ResponsibilitiesFollow trends in Healthcare Analytics, Evidence Based Medicine, Clinical Quality Measures, Accountable Care and Clinical Decision Support and advise Executive leadership and product development teamsPlay a key role … diversity of personalities. Is approachable and presents data with effective communication and presentation skills. Must be an effective consensus builderDirect experience with Healthcare Analytics, Clinical Decision Support systems, Evidence Based Medicine, Clinical Quality Measures, and Electronic Health Record systemsClinical domain knowledge and credibility within healthcare communityInterpersonal, communication (verbal ...

scalable AI solutions and agent-based workflows. · Identifying opportunities to combine SAP S/4HANA, SAP Business AI, Joule Agents, AI copilots, automation and analytics to create measurable business value and productivity improvements. · Leading multidisciplinary teams across business consulting, technology, data, analytics and engineering to deliver innovative client … governing AI-enabled operating models that combine people, process, technology, data and autonomous agents. · Leveraging SAP S/4HANA, SAP Business Technology Platform, analytics and emerging technologies to transform end-to-end processes. · Establishing governance frameworks covering AI risk, regulatory compliance, responsible AI, security and value realisation. · Leading programme ...

scalable AI solutions and agent-based workflows. · Identifying opportunities to combine SAP S/4HANA, SAP Business AI, Joule Agents, AI copilots, automation and analytics to create measurable business value and productivity improvements. · Leading multidisciplinary teams across business consulting, technology, data, analytics and engineering to deliver innovative client … governing AI-enabled operating models that combine people, process, technology, data and autonomous agents. · Leveraging SAP S/4HANA, SAP Business Technology Platform, analytics and emerging technologies to transform end-to-end processes. · Establishing governance frameworks covering AI risk, regulatory compliance, responsible AI, security and value realisation. · Leading programme ...

scalable AI solutions and agent-based workflows. · Identifying opportunities to combine SAP S/4HANA, SAP Business AI, Joule Agents, AI copilots, automation and analytics to create measurable business value and productivity improvements. · Leading multidisciplinary teams across business consulting, technology, data, analytics and engineering to deliver innovative client … governing AI-enabled operating models that combine people, process, technology, data and autonomous agents. · Leveraging SAP S/4HANA, SAP Business Technology Platform, analytics and emerging technologies to transform end-to-end processes. · Establishing governance frameworks covering AI risk, regulatory compliance, responsible AI, security and value realisation. · Leading programme ...

scalable AI solutions and agent-based workflows. · Identifying opportunities to combine SAP S/4HANA, SAP Business AI, Joule Agents, AI copilots, automation and analytics to create measurable business value and productivity improvements. · Leading multidisciplinary teams across business consulting, technology, data, analytics and engineering to deliver innovative client … governing AI-enabled operating models that combine people, process, technology, data and autonomous agents. · Leveraging SAP S/4HANA, SAP Business Technology Platform, analytics and emerging technologies to transform end-to-end processes. · Establishing governance frameworks covering AI risk, regulatory compliance, responsible AI, security and value realisation. · Leading programme ...

Scientist to tackle structured/tabular problems, including rent arrears and tenant risk, delivering evidence-based outcomes. You will join a small central data & analytics function, collaborating with product and engineering on a shared roadmap and experimental approach. Responsibilities span forecasting, prescriptive analytics, AI agents, and deployment with ...

expectations. As a Senior Software Engineer (SDET), you’ll be the transformational force that revolutionizes our testing approach. You’ll leverage AI and advanced analytics to identify quality gaps, architect intelligent testing solutions, and establish new standards for test effectiveness that go beyond simple coverage metrics. What … initiatives that significantly improved test effectiveness and reduced production issues AI expertise for testing: Ability to design, implement, and optimize solutions leveraging LLMs, and predictive analytics for quality assurance Knowledge of continuous integration tools (Jenkins/GitLab, TeamCity, AWS) and their optimization for quality gates Advanced test analysis ...

/data science, computer science, applied mathematics or otherwise research-based fieldWhat Would Make You Stand Out:Passionate about the power of data and predictive analytics to drive better business outcomes for customersProven ability to work effectively in a distributed working environment and ability to work efficiently ...

Spire Global is a space-powered data and analytics platform that offers unique insights and powerful solutions about Earth from the ultimate vantage point – space – so organizations can act now and plan for the future with confidence, accuracy and speed. Leveraging its proprietary multi-purpose satellite constellation and sophisticated … predictive analytics, Spire gives commercial and government organizations an unprecedented competitive advantage to solve their toughest challenges, empowered with knowledge from space. Spire Global is currently embarking on projects that range from the design of advanced satellite communication and navigation systems to RF monitoring constellations. As part ...

efficiency. You will work closely with SRE, platform, and cloud engineering teams , within a global technology support organisation to embed AI-driven decision-making, predictive analytics, and autonomous remediation into infrastructure platforms . What youll do Infrastructure Automation at Scal e Design and deploy AI-powered automation frameworks … detection, incident prediction, and root cause analysis across distributed systems . Implement intelligent alerting systems to reduce noise and improve signal fidelity . Build predictive reliability models (e.g., capacity forecasting, failure prediction). What youll bring Essential criteria: Strong experience in AI engineering, particularly in operational or systems contexts ...

Company description Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data platform help clients measure market share, uncover consumer behavior, and drive growthpowered by six decades of expertise and an expansive, high … sales processes including prospecting, needs assessment, solution development, negotiation, and closing. Collaborate Cross-Functionally: Partner with internal teams (e.g., Client Insights, Product, and Analytics) to deliver integrated solutions and ensure client success. Maintain Industry Expertise: Stay current on trends in [retail, CPG, or general merchandise] to position Circana ...

such as APICS, SCOR, BIAN, and industry-specific standards Deepunderstanding of trends like: Supply chain digitalization, inventory optimization, omnichannel retail, lean manufacturing, Industry 4.0, predictive analytics, and demand-driven planning Passion and energy for building business relationships and is accustomed to driving the simplification of complex concepts into … include SaaS, PaaS, multi-tenancy, and automation Experience and understanding of multiple technical domains - application, data, DevOps, AI/ML, integration, big data, mobility, analytics, etc. Intrinsically curious and passionate aboutresearching current and emerging technologiesand developing innovative solutions Experience presenting architecture concepts, designs, and goals to technology leaders ...

APICS, SCOR, BIAN, and industry-specific standards Deep understanding of trends like: Supply chain digitalization, inventory optimization, omnichannel retail, lean manufacturing, Industry 4.0, predictive analytics, and demand-driven planning Passion and energy for building business relationships and is accustomed to driving the simplification of complex concepts into compelling … include SaaS, PaaS, multi-tenancy, and automation Experience and understanding of multiple technical domains - application, data, DevOps, AI/ML, integration, big data, mobility, analytics, etc. Intrinsically curious and passionate about researching current and emerging technologies and developing innovative solutions Experience presenting architecture concepts, designs, and goals to technology ...

unstoppable together!Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer behavior, and drive growth—powered by six decades of expertise and an expansive … sales processes including prospecting, needs assessment, solution development, negotiation, and closing.Collaborate Cross-Functionally: Partner with internal teams (e.g., Client Insights, Product, and Analytics) to deliver integrated solutions and ensure client success.Maintain Industry Expertise: Stay current on trends in [retail, CPG, or general merchandise] to position Circana as a thought ...