5 of 5 Remote/Hybrid Demand Forecasting Jobs in London

hundreds of rich data points per second, moving terabytes of data while processing it in real time, running complex and complicated prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution … energy assets to unstructured commercial and operational shipping data such as customs filings, fixtures, and SPAs. These inputs drive predictive systems that support energy‐demand forecasting, anomaly detection, and real‐time recommendations for physical and derivative trading. As a Principal Data Scientist, you will become a key part ...

industry expertise with advanced AI and analytics to help clients transform how they plan, trade, and grow. Our Consulting practice leads transformation across merchandising, demand forecasting, and supply chain, by shaping strategy, operating models, and AI-driven solutions that help FTSE 100 and Fortune 500 businesses grow. About … commercial acumen with a track record of expanding accounts or securing new opportunities. Recognised subject matter expertise in at least one domain (e.g. Merchandising, Demand Planning, Retail Strategy, Change, AI Enablement) with knowledge of market best practice. Technology & Delivery Strong understanding of retail systems landscape and latest market trends. ...

industry expertise with advanced AI and analytics to help clients transform how they plan, trade, and grow. Our Consulting practice leads transformation across merchandising, demand forecasting, and supply chain, by shaping strategy, operating models, and AI-driven solutions that help FTSE 100 and Fortune 500 businesses grow. About ...

Data Science projects, from scoping through to modelling and stakeholder presentation. Building predictive models in areas such as fleet behaviour, sensors, demand forecasting and customer journey patterns. Conducting geospatial analysis using mobile network and location-based datasets to understand journey flow and catchment behaviour. Exploring open-ended datasets ...

logistics and optimisation challenges with meaningful real-world impact. Key Responsibilities Develop predictive models using time-series and geospatial datasets Design and iterate on demand forecasting models Support fleet positioning and operational planning initiatives Engineer features from large-scale operational datasets using Python and SQL Design and evaluate ...