Lead the development and deployment of core forecasting models for parcel demand, expansion, and sortation. Build and maintain production-ready time-series models that directly impact operational decisions across the logistics network. Requires 5+ years of data science experience with Python/SQL and proven track record of model-to-production implementation.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
💻 Job Title: Senior Data Scientist (Forecasting)
💰 Salary: up to £122.5k
🔥 Equity: up to 170% (!!!) - insanely generous 🥵
- 70% guaranteed upon joining
- up to 100% additional allotment based on performance in 1st year
📍 Location: Shoreditch (4 office days/week)
🌴 Benefits:
- Private healthcare & dental cover
- Enhanced parental leave
- Office lunches
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📦 Industry: Logistics
👥 Team: ~110
💸 Funding: ~$45m (Series A)
🛂 VISA sponsorship available if needed
This 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.
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🛠️ 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 deployment
- Monitoring live model performance and improving accuracy over time
- Translating problems from Sortation, Middle Mile, Last Mile, Routing and Commercial into DS problems
- Quantifying model impact on cost per parcel to help prioritise the roadmap
✅ Must have requirements:
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- 5+ years in data science or quantitative modelling, ideally with time-series forecasting
- Strong Python & SQL across the full modelling lifecycle (extraction to production)
- Track record of taking models from notebook to production, monitored and trusted
- Experience communicating model reliability to non-technical stakeholders
- Comfortable working from ambiguous starting points
👍 Bonus points for:
- Logistics or delivery network experience
- ML experience where it materially improves forecast accuracy
- Comfortable using AI tools (LLMs, code assistants) to accelerate workflow
- Experience influencing technical direction as a team scales
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