18 of 18 Predictive Analysis Jobs in the UK excluding London

eradication plans.Modern QA & AI Capabilities: Proactively research, evaluate, and integrate modern QA tools and AI-driven testing capabilities (such as AI-assisted test generation, predictive analysis, and smart automation tools) to improve efficiency and testing coverage.Professional Development (Goal): Commit to continuous professional and technical growth, developing deeper expertise … test data.Modern QA & AI Capabilities: Proactively research, evaluate, and integrate modern QA tools and AI-driven testing capabilities (such as AI-assisted test generation, predictive analysis, and smart automation tools) to improve efficiency and testing coverage.Nice to Have Skills:UI Mobile Automation & Functional/Manual testing.Performance testing experience ...

eradication plans.Modern QA & AI Capabilities: Proactively research, evaluate, and integrate modern QA tools and AI-driven testing capabilities (such as AI-assisted test generation, predictive analysis, and smart automation tools) to improve efficiency and testing coverage.Professional Development (Goal): Commit to continuous professional and technical growth, developing deeper expertise … test data.Modern QA & AI Capabilities: Proactively research, evaluate, and integrate modern QA tools and AI-driven testing capabilities (such as AI-assisted test generation, predictive analysis, and smart automation tools) to improve efficiency and testing coverage.Nice to Have Skills:UI Mobile Automation & Functional/Manual testing.Performance testing experience ...

eradication plans.Modern QA & AI Capabilities: Proactively research, evaluate, and integrate modern QA tools and AI-driven testing capabilities (such as AI-assisted test generation, predictive analysis, and smart automation tools) to improve efficiency and testing coverage.Professional Development (Goal): Commit to continuous professional and technical growth, developing deeper expertise … test data.Modern QA & AI Capabilities: Proactively research, evaluate, and integrate modern QA tools and AI-driven testing capabilities (such as AI-assisted test generation, predictive analysis, and smart automation tools) to improve efficiency and testing coverage.Nice to Have Skills:UI Mobile Automation & Functional/Manual testing.Performance testing experience ...

summary The role is within the Digital Information team. The team is responsible for all aspects of information services, such as Analysis and Intelligence, Data Quality, Performance, BI Warehousing and Business Intelligence, Data Protection, Health Records, Clinical Information and Training. This post holder will manage a small team … This post holder will provide insightful analytics that will provide the senior management with greater visibility and improved understanding of its business through investigative analysis, visualisation and robust data journalism. This post holder will analyse data and provide intelligent information that will contribute towards the transformation of services ...

strategic decision-making. Requirements: Advanced Excel skills. Proven experience analysing large and complex datasets. Strong workforce, people, financial or operational analytics experience. Experience developing predictive models and scenario analysis. Excellent communication skills with the ability to translate technical findings into actionable insights. Ability to manage multiple projects and competing ...

quality standards, governance practices, and reporting best practices. Partner with leadership teams to define key performance indicators (KPIs) and operational metrics. Support root cause analysis activities by combining telemetry, operational, and business data sources. Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes. Document … Factory, Synapse Analytics, Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices, CI/CD pipelines ...

data into compelling stories that influence business outcomes. You'll play a key role in shaping how we understand our customers, using segmentation and predictive modelling to drive smarter decisions and measurable growth. You'll work independently, owning projects and stakeholder relationships, while being part of a close-knit … projects that support strategic Product and Marketing initiatives Developing customer insights that inform targeting, positioning, and growth strategies Building and deploying segmentation models and predictive models to better understand customer behaviour Translating complex analysis into clear, engaging narratives that drive action Managing stakeholders across Product and Marketing, aligning ...

monitoring, telemetry collection, and closed‐loop remediation capabilities. Network Observability & Operational Intelligence Experience with enterprise monitoring and observability strategies using telemetry, flow analytics, packet analysis and performance monitoring. Ability to leverage operational data for predictive analysis, trend identification, capacity forecasting and service optimisation. Experience implementing automated compliance … Capabilities Experience evaluating and implementing self‐healing network technologies and AI‐assisted operational capabilities. Understanding of platforms capable of: Automated fault detection, Root cause analysis, Dynamic RF optimisation, Automated channel selection, Automated power adjustments, Client steering, Service assurance automation, Network anomaly detection Experience leveraging machine learning and analytics ...

with intention Build mission-ready tech that protects the nation. Massive volumes of multi-INT data including structured, semi-structured, and unstructured, demand disciplined analysis to drive timely, mission- relevant insight. As a Data Scientist supporting All-Source Intelligence, you will fuse information across SIGINT, HUMINT, GEOINT, OSINT … model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets. Build dashboards and lightweight applications that communicate key insights, assessments, and confidence levels to audiences with varied technical backgrounds. Guide ...

prototyping tools such as Figma for collaborating on user interface and experience requirements Experience with traditional artificial intelligence and machine learning techniques, such as predictive analysis Prior experience serving as an Application Owner or in an equivalent application governance and lifecycle management role Familiarity with Technology Risk ...

recruitment, performance, and succession planning. Provide actionable insights and recommendations to HR and business leaders to improve workforce productivity, engagement, and organisational performance. Develop predictive analytics and trend analysis to support future workforce planning and business forecasting. Create executive-level reports and presentations, translating complex data into meaningful … also have: Experience using the wider suite of SAP SuccessFactors reporting tools, including Story Reports and Canvas Reports. Experience supporting workforce planning, predictive analytics, and organisational forecasting initiatives. Experience working within a large-scale, fast-paced, multi-site organisation. Join us as we redefine travel experiences and create memories ...

leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.Enhancing your leadership style, you motivate, develop and inspire others ...

leadership role responsible for driving operational excellence, implementing lean manufacturing techniques, and transforming maintenance strategy from a reactive model to a robust preventative and predictive maintenance programme. The successful candidate will lead a multidisciplinary engineering team and play a central role in improving plant reliability, efficiency, and safety. … maintenance activities. Lead the implementation of lean tools and methodologies including 5S, Kaizen, Value Stream Mapping, SMED, TPM (Total Productive Maintenance), and Root Cause Analysis (RCA). Identify and eliminate waste in engineering processes, reducing downtime, material costs, and inefficiencies. Establish and track KPIs aligned with lean objectives. Facilitate ...

SLAs, KPIs, scope, and cost. Leverage AIOps and observability tools (e.g. Dynatrace, Datadog, New Relic, Elastic) to proactively monitor service health and performance. Utilise predictive alerting and anomaly detection to prevent incidents and optimise delivery priorities. Coordinate across internal teams, vendors, and stakeholders to ensure seamless delivery. Client Communication … decision-making and proactive operations. Documentation and Reporting Establish and lead governance forums, service reviews, and performance discussions. Deliver AI-enhanced reporting, including predictive insights and trend analysis using tools such as ServiceNow Performance Analytics, Azure Monitor, and AWS DevOps Guru. Ensure transparency and governance in AI usage ...

decision-making and proactive operations. Documentation and Reporting Establish and lead governance forums, service reviews, and performance discussions. Deliver AI-enhanced reporting, including predictive insights and trend analysis using tools such as ServiceNow Performance Analytics, Azure Monitor, and AWS DevOps Guru. Ensure transparency and governance in AI usage … excellence. Risk Management Act as escalationleadformajor incidents, service risks, and client concerns, including participation in on-call rotations. Use event correlation and root cause analysis tools such asMoogsoft,BigPanda, and Splunk IT Service Intelligence to accelerate resolution. Proactivelyidentifyand mitigate risks using data-driven insights. Compliance Ensure adherence to client ...

role responsible for driving operational excellence, implementing lean manufacturing techniques, and transforming our maintenance strategy from a reactive model to a robust preventative and predictive maintenance programme. The successful candidate will lead a multidisciplinary engineering team and play a central role in improving plant reliability, efficiency, and safety. … maintenance activities. Lead the implementation of lean tools and methodologies including 5S, Kaizen, Value Stream Mapping, SMED, TPM (Total Productive Maintenance), and Root Cause Analysis (RCA). Identify and eliminate waste in engineering processes, reducing downtime, material costs, and inefficiencies. Establish and track KPIs aligned with lean objectives ...

Desktop surveys with Ekahau tools. Key Responsibilities Design, deploy and optimise enterprise wireless LAN solutions across office and industrial environments. Conduct wireless surveys (predictive & on‐site), RF analysis and coverage optimisation. Lead troubleshooting for complex Wi‐Fi issues, including authentication, interference and performance degradation. Create and update ...

Unified Supply Chain (USC) team. The role focuses on numerical modelling and the development of our Assay Engine, a desktop application used for predictive modelling and data analysis in the oil, gas and refining industries. You will maintain and improve mathematical models, tackle challenging problems, manage large work ...