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Senior Data Scientist (Forecasting)

Wave Group · London Area, United Kingdom

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💻 Job Title: Senior Data Scientist (Forecasting)💰 Salary: up to £122.5k🔥 Equity: up to 170% (!!!) - insanely generous 🥵70% guaranteed upon joiningup to 100% additional allotment based on performance in 1st year📍 Location: Shoreditch (4 office days/week)🌴 Benefits:Private healthcare & dental coverEnhanced parental leaveOffice lunches📦 Industry: Logistics👥 Team: ~110💸 Funding: ~$45m (Series A)🛂 VISA sponsorship available if neededThis company is hands-down the hottest logistics scale up in Europe, taking the industry by storm and growing at an astronomical pace.Every parcel that moves through their network generates thousands of data points feeding the forecasting engine that powers every operational decision — shifts, dispatch, routing, expansion. The Senior Data Scientist in this role owns a core domain within that engine, sitting in the company's biggest and most data-rich squad.If you want to be at the heart of something genuinely transformative, this might be for you.🛠️ What you'll be doing:Owning a core domain in the forecasting engine (demand, expansion, parcel intelligence or sortation)Building and maintaining models from exploration through to production deploymentMonitoring live model performance and improving accuracy over timeTranslating problems from Sortation, Middle Mile, Last Mile, Routing and Commercial into DS problemsQuantifying model impact on cost per parcel to help prioritise the roadmap✅ Must have requirements:5+ years in data science or quantitative modelling, ideally with time-series forecastingStrong Python & SQL across the full modelling lifecycle (extraction to production)Track record of taking models from notebook to production, monitored and trustedExperience communicating model reliability to non-technical stakeholdersComfortable working from ambiguous starting points👍 Bonus points for:Logistics or delivery network experienceML experience where it materially improves forecast accuracyComfortable using AI tools (LLMs, code assistants) to accelerate workflowExperience influencing technical direction as a team scales