19 of 19 Permanent Predictive Analytics Jobs in the North of England

teams and leaders make informed, evidence-based decisions. In this role, you'll lead the development and delivery of HR dashboards, management information, workforce analytics and reporting, providing valuable insight into our people, performance and future workforce needs. Working closely with stakeholders across HR, Finance, Payroll … role and strong SAP SuccessFactors expertise is essential.We're looking for an individual who can maximise the value of our people data, reporting and analytics capability through extensive hands-on experience of SuccessFactors, combined with excellent analytical skills and a passion for delivering meaningful business insights. ...

Exciting Responsibilities Architect and execute the EMEA demand generation strategy to drive predictable pipeline growth across enterprise software markets Integrate cutting-edge AI workflows, predictive account scoring, and hyper-personalized content into daily campaign execution Inspire, coach, and scale a high-performing team of regional marketing leaders built … RevOps leadership to establish seamless lead-to-opportunity management and maximize ROI Manage regional demand budgets, compliance, and full-funnel performance metrics using advanced predictive analytics Essential Skills & Experience You bring 10+ years of progressive B2B demand generation or revenue marketing leadership within complex SaaS or enterprise software ...

Exciting Responsibilities: Architect and execute the EMEA demand generation strategy to drive predictable pipeline growth across enterprise software markets Integrate cutting-edge AI workflows, predictive account scoring, and hyper-personalized content into daily campaign execution Inspire, coach, and scale a high-performing team of regional marketing leaders built … RevOps leadership to establish seamless lead-to-opportunity management and maximize ROI Manage regional demand budgets, compliance, and full-funnel performance metrics using advanced predictive analytics You bring 10+ years of progressive B2B demand generation or revenue marketing leadership within complex SaaS or enterprise software environments You offer ...

Analyst to join its strategic planning and transformation function. This is an opportunity to play a pivotal role in shaping how data, insight, and analytics inform strategic decision-making across a large and complex organisation. Your new role As the technical lead for business intelligence and analytics … will lead the delivery of automated management information dashboards, provide strategic insight and recommendations to senior leaders, and champion best practice in business intelligence, analytics, and data governance. The role also includes mentoring colleagues, enhancing organisational data literacy, and contributing to the development of data governance frameworks and reporting ...

Partner with senior leaders across Agile Release Trains, Technology, Finance, and Product teams. Create enterprise-wide insights and dashboards that drive strategic decisions. Use predictive analytics to identify risks, opportunities, and future trends. Lead continuous improvement initiatives that enhance delivery performance and value. Coach and influence stakeholders ...

take a step back to see the bigger picture are essential qualities for success in this role. Your ability to drive initiatives in automation, predictive analytics, and machine learning will be highly valued. Benefits of the role • An environment where you can continue to grow and learn everything … about the international food industry • A competitive salary Ready to Make Your Impact? If you are passionate about analytics, optimization, and supporting business leaders through insight and innovation, we invite you to apply and grow your career at McCain. McCain Foods is an equal opportunity employer. As a global ...

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 ...

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 ...

essential. The Senior Data Scientist is responsible for the management and delivery of projects, be required to coach other Junior Data Scientists and Junior Analytics Consultants within the Solution Delivery group and contribute to business development and growth. They will play a key client-facing role throughout the project … . Further to this, the Senior Data Scientist will interface with the wider business to provide guidance on future solutions and technical input for analytics solutions and products. Role accountabilities: Driving quality and innovation within data analytics solutions and identifying and disseminating best practice in terms of approaches ...

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 ...

Python to support scalable and consistent use across the company’s reporting infrastructure. Your day‐to‐day responsibilities will include: Developing, testing and deploying predictive machine learning models within Azure (e.g., Azure ML, Azure AI Foundry). Monitoring and evaluating model performance, implementing iterative improvements and retraining where required. … based logic to generate accurate, timely flags and alerts from warehouse data, enabling stakeholders to take appropriate operational action and providing important features for predictive analytics. Working with project teams to understand new data sources and how they can be integrated into new and existing products. About you Above ...

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. ...

helping the organisation transition from traditional reporting to advanced analytics. THE COMPANY This leading professional services organisation is investing heavily in its data and analytics capabilities. Having already modernised its infrastructure and established a cloud-based Azure data platform, they are now focused on improving data visibility, strengthening governance … star schemas. Defining modelling standards, governance frameworks, and best practices. Designing and maintaining curated semantic layers for reporting and analytics. Collaborating with Data Engineers, Analytics teams, and senior stakeholders across the business. Producing architecture artefacts, data models, documentation, and design standards. Acting as the technical authority for data modelling ...