9 of 9 Predictive Analytics Jobs in the North West

evaluating product changes and identifying new opportunities for improvement. As a leader in your team, be accountable for its success, champion the use of analytics and support other Data Analysts Plan and prioritise the analytical components of projects and ensure clear communication with Analytics leadership and adjacent teams … experimentation programmes and practices that inform product or business decisions. A good understanding of methods for statistical inference (e.g. Bayesian, Frequentist) and familiarity with predictive analytics techniques is highly beneficial. Working knowledge of common analytics tools used for tracking and analysing user behaviour, such as Google Analytics ...

that enhance system uptime, robustness and overall customer satisfaction. Champion a data-driven approach to reliability engineering by developing new methods for performance monitoring, predictive analytics and system health assessment. Influence system architecture, product requirements and design decisions by ensuring reliability and serviceability considerations are incorporated early ...

scalable data intelligence platform in Azure. This will provide the services and tools to extract deeper insights from big and complex data using predictive analytics and AI. This in turn will enable the uncovering of actionable insights previously hidden in data. You’ll support the roll … require development of data infrastructure (ETLs, data migrations, data models, stored procedures and reporting outputs) with the end goal of providing clear and efficient analytics supported by robust data processes. You will draw insights and shape processes, primarily using structured data to understand behaviour and interactions both throughout ...

adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. That all sounds great, what’s in it for me? In return we offer ...

standards, processes, and KPIs. Establish a unified engineering governance framework to ensure consistency across all sites. Lead the transition from reactive to proactive and predictive maintenance strategies. Reliability & Asset Performance Develop, implement and oversee a new era of reliability engineering, condition-based monitoring, and failure ‐ prevention programmes. Analyse asset … reactive work. Integrate asset ‐ condition data into strategic CAPEX planning to optimise replacement timing and lifecycle value. Digital Transformation Lead the adoption of predictive analytics, IoT technologies, and digital asset ‐ care tools. Drive a cultural shift toward data ‐ led decisions and innovative maintenance methodologies that elevate reliability ...

align delivery teams and resolve constraints. Providing portfolio level insight through integrated reporting, KPI development and dashboard reporting. Championing the use of digital tool, predictive analytics and performance dashboards, to inform better decision making. Managing change control, ensuring strong documentation, traceability and governance. Building and maintaining productive relationships ...

deliver a digital transformation roadmap focused on efficiency, waste reduction and continuous improvement. Partnering with Data Science and AI teams to explore how predictive analytics can be integrated into production processes. Identifying opportunities to improve manufacturing performance through digital tools, automation, data insights and Industry 4.0 solutions. Creating ...

data lakehouse, enabling both batch and streaming data capabilities. You'll also support machine learning initiatives focused on forecasting, customer insight and predictive analytics. This is an exciting opportunity for someone who wants to build something new and see the impact of their work in action, helping us deliver … with CI/CD best practices & IaC Experience with data modelling, data governance, data quality, and data security. Experience with a unified data processing & analytics platform (e.g Databricks) What is in it for you 25 days holiday, increasing with service (up to 28) Option ...

traces and telemetry. Establish operational insight models that support proactive decision‐making and enable advanced capabilities including anomaly detection, event intelligence, noise reduction and predictive operational analytics. AI Operations & Service Reliability: Apply reliability engineering principles to AI‐enabled services, monitoring AI‐specific failure modes such as data quality degradation … engineering. Strong understanding of AI governance, responsible AI, regulatory requirements and model risk management. Experience implementing observability strategies using modern monitoring, telemetry and operational analytics platforms. Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes. Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform. ...