Staff Data Scientist - Network

Relay's network runs on forecasts. Every shift released in sortation, every middle-mile van dispatched, every last-mile route planned, every expansion decision made - all downstream of models that predict how parcels move through our system.

As a Staff Data Scientist, you are the technical anchor for Demand Forecasting. You own the hardest and most ambiguous parts of the forecast, and you set the methodology and validation standards the rest of the area works to. This is a hands-on role. You will spend most of your time building, not managing.

Responsibilities

Own the integrated forecast end to end by blending live tracking signals with model-generated parcels into a single view by area from today to thirty days ahead; Build the hardest models in the area: model-generated long-horizon forecast, inbound-international volume forecast, and parcel size and weight models; Set methodology and validation standards for Demand Forecasting; Raise the technical bar by reviewing approaches, making model-choice and build-vs-buy calls, and mentoring Senior Data Scientist and Analyst; Define the forecast's interfaces to demand-management, Routing, and network-planning; Learn operational processes and identify where the current approach falls short; Own production quality across the estate, working with the ML Engineer; Work with Finance to keep the handoff between operational and financial models reliable; Quantify the impact of model error on cost per parcel

Requirements

At least 8 years in a data science or quantitative modelling role, with clear examples of models you built that informed operational or commercial decisions, and of methodology or technical direction you set for a team; Strong Python and SQL; Depth across the full modelling lifecycle - from data extraction and feature engineering through training, validation and production deployment; Experience with time-series forecasting across classical statistical approaches, gradient boosting and deep learning; You have been the technical anchor on a modelling team before; You think in interconnected systems; You communicate with non-technical stakeholders with authority; You're comfortable using AI tools - LLMs, code assistants, and similar - to accelerate your workflow

Nice to have

Logistics or delivery network experience

Benefits

Generous equity with annual top-ups; Private health & dental coverage; 25 days of holidays; Enhanced parental leave; Hardware of your choice; Extensive perks including gym subsidies, cycle-to-work, Friday office lunch, and covered Uber home and dinner for late nights