7 of 7 Demand Forecasting Jobs in the North West

next - together! You will join the Predictive Intelligence engineering team within Anaplan, the group responsible for the Syrup platform and the family of forecasting and predictive services that power Anaplan’s verticalized solutions. The team builds and operates the ML platform, forecasting engines, and data processing services that … deliver demand forecasting, inventory recommendations, and predictive insights to enterprise customers in retail, supply chain, and beyond. This role reports to the Director of Engineering for Predictive Intelligence and serves as the senior technical leader across the predictive intelligence pillar. Your Impact Own the overall architecture and technical ...

Data scientists take a business or research question — Which customers will churn? Which transactions are fraudulent? What will demand look like next quarter? — and answer it with data. The work spans the full pipeline: sourcing and cleaning data, exploratory analysis, feature engineering, training and validating models (regression, tree ensembles … What does a Data Scientist do? Data scientists take a business or research question — Which customers will churn? Which transactions are fraudulent? What will demand look like next quarter? — and answer it with data. The work spans the full pipeline: sourcing and cleaning data, exploratory analysis, feature engineering, training ...

roadmaps aligned with AECOM’s business objectives, including sustainability and operational efficiency.Develop and deploy predictive and prescriptive models for key use cases such as demand forecasting, optimisation, and anomaly detection in infrastructure projects.Establish best practices for model lifecycle management, including MLOps, monitoring, and retraining, ensuring alignment with AECOM … Computer Science, Statistics, Applied Mathematics, or related field, with a focus on data science applications in infrastructure or environmental domains.Familiarity with time-series forecasting, optimisation, and causal inference, particularly in project planning and resource management.Experience with IoT analytics and real-time data processing, including applications in smart cities ...

wider business transformation. The organisation is moving away from ad-hoc analytics and building a modern Data Science function capable of supporting customer personalisation, forecasting, and smarter commercial decision-making at scale. The culture is collaborative, pragmatic, and delivery-focused, with a strong emphasis on getting models into production … level Data Scientist role focused on developing and deploying customer-focused machine learning models. Projects include: Customer segmentation Customer Lifetime Value (CLTV) modelling Demand forecasting Propensity modelling Targeted promotions and campaign optimisation Data Science initiatives linked to a major new loyalty programme The team are still early ...

solutions. Build and deploy models that support customer and commercial decision making Work on use cases such as customer segmentation, lifetime value modelling and demand forecasting Contribute to the development of a scalable Data Science platform Collaborate with data engineers, analysts and business stakeholders Translate business problems into ...

Consumer Goods industry, businesses are transforming well beyond simply selling products – through new channels, advanced stores and enhanced customer touchpoints, value-chain optimisation through demand forecasting and logistics, digital marketing, and customer-service advancement - using the full suite of cloud, data and AI services available through ...

through simplification, standardisation, shared services and new operating models across front, middle and back officesTechnology adoption and automation e.g. automation in warehouses and stores, demand forecasting toolsSustainability and ethical consumptionExperience of use of AI/Automation to accelerate key operational processes and/or optimise ways of working ...