1 to 25 of 121 Permanent Demand Forecasting Jobs in England

Planning Transformation Manager Role Purpose: Support the Future of Business Planning program and the Integrated Business Planning Model (IBPM) transformation, driving the merger of Demand Forecasting and Marketing Planning into a unified, efficient process. The role will enable process redesign, automation, and advanced forecasting capabilities, ensuring alignment … rights. Document current and future state processes, ensuring clarity on roles, responsibilities, and workflows. Support change management activities, including stakeholder engagement and training. 2. Forecasting & Planning Integration Consolidate demand forecasting and marketing planning processes into a single operating model. Support the development and Maintenance of bottom ...

operational efficiency across our contact operations. This role is ideal for someone who understands how data can be used to optimise operations, shape channel demand and support decisions around call demand volume, workforce planning and demand forecasting. You'll work within a matrix organisation, partnering closely with … data science and analytics to improve customer contact operations, agent performance and end-to-end customer experience Develop insight and models that support call demand volume forecasting, channel demand optimisation and operational planning Translate complex operational challenges into scalable, actionable data products Ensure data, analytics and digital ...

Data Scientist – Time Series Forecasting 4 days per week in office London) About the Company This fast-scaling UK tech company is building one of the most innovative demand forecasting and workforce optimisation platforms in their space. With major clients across food, drink, and service sectors, their … depth of a scale-up, working from a collaborative Central London HQ four days a week. What You’ll Be Doing Build and refine forecasting models that help predict demand, footfall, and staffing requirements at the hourly and site level Apply time series modelling techniques to real-world ...

Data Scientist – Time Series Forecasting 4 days per week in office London) About the Company This fast-scaling UK tech company is building one of the most innovative demand forecasting and workforce optimisation platforms in their space. With major clients across food, drink, and service sectors, their … depth of a scale-up, working from a collaborative Central London HQ four days a week. What You’ll Be Doing Build and refine forecasting models that help predict demand, footfall, and staffing requirements at the hourly and site level Apply time series modelling techniques to real-world ...

teams within client environments. AI & Data-Driven Innovation Identify and lead opportunities to embed AI and machine learning into the retail value chain (e.g., demand forecasting, personalisation, pricing optimisation, customer insights). Shape AI-enabled commerce platforms, search and recommendation systems, and automation-led operational efficiencies. Stakeholder Management ...

teams within client environments. AI & Data-Driven Innovation Identify and lead opportunities to embed AI and machine learning into the retail value chain (e.g., demand forecasting, personalisation, pricing optimisation, customer insights). Shape AI-enabled commerce platforms, search and recommendation systems, and automation-led operational efficiencies. Stakeholder Management ...

working with a fast-scaling AI organisation that partners with large product and platform-led businesses to deliver machine learning systems that support personalisation, demand forecasting, and operational resilience. Their work helps clients enhance customer experience, optimise fulfilment and logistics, and make smarter, data-driven decisions. This ...

working with a fast-scaling AI organisation that partners with large product and platform-led businesses to deliver machine learning systems that support personalisation, demand forecasting, and operational resilience. Their work helps clients enhance customer experience, optimise fulfilment and logistics, and make smarter, data-driven decisions. This ...

large volumes of operational data, helping to improve how labour is forecast, scheduled, and optimised. The role involves developing data-driven systems that anticipate demand, improve service delivery, and surface actionable insight across a portfolio of well-known consumer-facing brands. You’ll also contribute to building scalable analytics … standard machine learning libraries and frameworks A solid understanding of core ML techniques and appropriate use cases Experience delivering ML-driven features such as demand forecasting, optimisation models, or computer vision systems Exposure to working within cloud platforms such as AWS Strong grounding in mathematics and statistics ...

large volumes of operational data, helping to improve how labour is forecast, scheduled, and optimised. The role involves developing data-driven systems that anticipate demand, improve service delivery, and surface actionable insight across a portfolio of well-known consumer-facing brands. You’ll also contribute to building scalable analytics … standard machine learning libraries and frameworks A solid understanding of core ML techniques and appropriate use cases Experience delivering ML-driven features such as demand forecasting, optimisation models, or computer vision systems Exposure to working within cloud platforms such as AWS Strong grounding in mathematics and statistics ...

world’s most recognisable gaming platforms. The Role: As a Category Planner , you’ll be responsible for pricing, promotions, product lifecycle management, and demand planning. You’ll act as the bridge between finance, supply chain, marketing, and online retail teams, ensuring clarity, accountability, and execution across the gaming business. … management , ensuring competitive positioning and timely execution. Oversee product onboarding/offboarding processes, including SKU swaps, catalog management, and end-of-life activities. Drive demand forecasting and inventory planning to support product launches and seasonal campaigns. Collaborate with finance teams to deliver accurate forecasts and category performance reporting. ...

world’s most recognisable gaming platforms. The Role: As a Category Planner , you’ll be responsible for pricing, promotions, product lifecycle management, and demand planning. You’ll act as the bridge between finance, supply chain, marketing, and online retail teams, ensuring clarity, accountability, and execution across the gaming business. … management , ensuring competitive positioning and timely execution. Oversee product onboarding/offboarding processes, including SKU swaps, catalog management, and end-of-life activities. Drive demand forecasting and inventory planning to support product launches and seasonal campaigns. Collaborate with finance teams to deliver accurate forecasts and category performance reporting. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...

travel technology ecosystem. Lead our shift from surface‐level AI features to deeply integrated, AI‐native capabilities across the platform. Embed intelligence into routing, demand forecasting, bag tracking, customer communication, and partner integrations—turning data into real‐time, adaptive decision systems that drive measurable operational and customer impact. ...