About the role

Senior Data Scientist in Strategic Finance managing simulation models for Relay's rapidly growing logistics network. Collaborating with finance teams to provide dynamic data-driven insights and improve decision-making.

Responsibilities

As a Senior Data Scientist, Strategic Finance, you will own the simulation of Relay's network.
You will build and maintain a modular collection of models that captures how our unit economics work end-to-end, from first-mile collection through sortation, middle-mile, and last-mile delivery.
Your primary partner is the finance team: Strategic Finance, Commercial Finance, and FP&A.
You translate their questions into data science problems and give them tools that let them explore pricing, margins, and projections dynamically rather than waiting for models to be manually rebuilt.
You product-manage your own roadmap: you take in the needs, prioritise what to build, and ship it.
This is a new role. There is no existing system to inherit.
You are building from scratch; part of a data organisation of around 30 engineers, analysts, and data scientists, but embedded in our finance squad.

You're a strong modeller who thinks in systems. You naturally break complex problems into components, understand the assumptions behind each one, and know when those assumptions need revisiting.
You're a builder. You don't wait for requirements to be handed to you. You go and understand the problem, figure out what's needed, and ship something useful. Then you iterate.
You're fluent in Python and SQL, and you're comfortable doing your own data engineering when needed. You can pull, transform, and model data without waiting for someone else to prepare it for you.
You have real experience with financial modelling, forecasting, or simulation, ideally in a context where you were building models that informed commercial or strategic decisions, not just producing analysis.
You communicate clearly with non-technical partners. Finance will rely on your models to make decisions. You need to explain what they do, where they're reliable, and where they're not.
You care about the problem more than the technique. You'll use whatever modelling approach fits. The point is accuracy, speed, and usefulness, not methodological elegance.
You take ownership of your domain. You set your own roadmap, manage trade-offs, and hold yourself accountable for whether the models are actually driving better decisions.
Logistics or delivery network experience is a plus, but what matters more is the ability to learn a complex operational domain quickly and model it well.

Generous equity, richer than 99% of European startups, with annual top-ups to share Relay’s success.
Private health & dental coverage, so comprehensive you’d need to be a partner at a Magic Circle law firm to match it.
25 days of holidays
Enhanced parental leave.
Hardware of your choice.
Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).