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About the Role
We're recruiting on behalf of a high-growth, venture-backed tech business operating in the logistics space. They're not your typical logistics company; they've built their entire operation around data, and it shows in how they've scaled. Profitable and scaling rapidly, with ambitious plans for growth throughout this year and beyond.
Their data team punches well above its weight relative to the size of the business, and the work their scientists do has a direct, daily impact on how the operation runs. This isn't a team building dashboards; models go into production and drive real decisions.
What the Role Involves
We're looking for a Senior Data Scientist to take ownership across one of two interconnected areas: forecasting and pricing.
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On the forecasting side, you'll build and maintain models that predict how demand moves through the network, informing decisions on capacity, planning and operational resourcing. On the pricing side, you'll develop the intelligence that drives how the business prices its services dynamically, experimenting and iterating based on what plays out in live operations.
It's a senior IC role with genuine autonomy. You'll own problems from first principles through to production, and have meaningful input into how the team approaches modelling as it grows.
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What We're Looking For
- 5+ years in data science with a track record of models that drove real decisions
- Strong Python and SQL, comfortable across the full modelling lifecycle
- Experience with time-series forecasting methods, and/or modelling marketplace or pricing dynamics
- Production-minded; you've taken models beyond the notebook
- Clear communicator with non-technical stakeholders
- A systems thinker who cares about downstream impact, not just model performance
Domain experience in logistics isn't needed; curiosity and the ability to get up to speed fast is what counts.
Location
Hybrid, London.
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