London, England, United Kingdom Requirements What youll do Lead and improve the S&OP demand planning process using data-driven forecasting. Create, maintain, and enhance demand forecasts across all product segments. Build forecasting models using Python, SQL, and advanced Google Sheets. Apply statistical forecasting techniques, including time-series modelling, regression methods, and machine learning approaches. Use scenario planning to model promo uplift, market uncertainty, trend shifts, and best/worst-case demand outcomes. Analyse demand drivers, seasonality, customer behaviour, and commercial impacts to improve forecast accuracy. Work closely with Sales, Marketing, Supply, Finance, Category Management, Logistics, and Operations to align demand assumptions. Present forecast results, demand risks, and opportunities in S&OP meetings with clear, evidence-based recommendations. Support portfolio and innovation planning by forecasting new wines and product launches. Monitor market trends, portfolio performance, product lifecycle stages, and customer behaviour to identify opportunities. Track and report forecasting KPIs including accuracy, bias, baseline stability, promo uplift accuracy, and demand variability. Carry out root-cause analysis when forecasts differ from actual results. Improve forecasting tools, automation workflows, dashboards, and data pipelines. What youll bring Core skills and experience Experience in demand planning, forecasting, or S&OP within a product-led or fast-moving environment. Strong analytical skills with the ability to interpret complex datasets. Knowledge of statistical methods such as time-series forecasting, regression analysis, clustering, or machine learning. Advanced Python skills (pandas, NumPy, statsmodels, scikit-learn, Prophet) for forecasting model development. Proficiency in SQL for data extraction and modelling. High capability in Google Sheets for analytical modelling and scenario analysis. Experience using data visualisation tools (Power BI, Tableau, Looker). Ability to automate forecasting workflows and improve data quality. Experience with ERP/MRP or planning systems (e.g., SAP, Oracle, NetSuite) is beneficial. Communication & collaboration Ability to explain analytical findings in a clear, structured way. Experience working with cross-functional teams to support alignment across commercial and operational functions. Confidence discussing forecast assumptions, risks, and demand drivers with both technical and non-technical audiences. Commercial & operational understanding Understanding of commercial planning, promotional strategies, product lifecycles, and sales processes. Knowledge of how demand planning connects to supply planning and inventory strategy. Ability to consider service levels, operational feasibility, and financial goals when forecasting.