Company mission In the future, almost everything we
consume will simply materialise on our doorsteps – what we call
“e-commerce” today will simply be “commerce” tomorrow. But if we
continue on today’s trajectory, the growth of e-commerce risks
damaging the environment, alienating our communities, and straining
the bottom-line for small businesses. Relay is an e-commerce-native
logistics network. We are built from the ground up for
environmental, social, and economic sustainability. By building
from the ground up we are able to entirely rethink both the middle
and last mile enabling us to reduce the number of miles driven to
deliver each parcel, lower carbon emissions, and lower costs, all
while channelling funds to community members. At the same time,
we’re fixing the last broken aspect of e-commerce for consumers:
delivery. As shoppers, we should have complete control over when
and how we receive our purchases, and we should be able to return
unwanted items as easily as we ordered them. That’s why whenever
you buy from a merchant powered by Relay, you’ll be able to
reschedule your delivery at any time. And if you don’t like what
you ordered, at the tap of a button we’ll send someone to pick it
up. To orchestrate this complex ballet, Relay relies on a wide
range of technologies, from advanced routing and planning to
sophisticated user experiences that guide our team members on the
ground. About the role As a highly operational business, we rely on
data science to power nearly every part of our network — from
forecasting parcel volumes, to pricing and planning courier
capacity, to understanding and improving the economics of our
operation. We’re hiring a Senior Data Scientist to help us optimise
our middle mile operation and model the growth, performance, and
economics of our pitstop network. This role spans across domains,
touching forecasting, operations, and commercial planning, and is
ideal for someone who thrives on applying models in ambiguous,
real-world environments. You’ll work with squads across routing,
sortation, first mile, last mile, marketplace, and commercial
functions; you’ll focus on middle mile optimisation, pitstop
expansion, and understanding the long-term financial value of our
physical network. You’ll also bring together data from across the
business, often fragmented or messy, and use smart tooling,
automation, and AI to transform it into usable insight. You’ll need
to be hands-on and pragmatic; it’s a high-impact role with strong
exposure to leadership and decision-making across the business.
What you’ll do - Model and improve the cost, quality, and
efficiency of middle mile operations, including vehicle use,
timings, and handover reliability - Partner with marketplace and
ops teams to optimise driver acquisition, targeting, and pricing
for the middle mile - Optimise pitstop expansion in line with
volume growth, capacity, and service levels - Model pitstop-level
LTV and unit economics to support capital investment and
performance tracking - Collaborate with other data scientists to
support geo-sequencing, zone design, and integration with routing
models - In partnership with MLE and Staff Data Scientists,
orchestrate and automate model pipelines in production - Act as a
thought partner for operations, commercial, and finance leads —
bringing a scientific lens to planning and network growth What
we’re looking for - 6+ years of experience in data science, with a
strong record of delivering models into production - Deep
experience with Python and SQL - Strong foundations in statistics
and probability, with experience applying them in operational
and/or financial contexts - Comfort working in ambiguity and
navigating messy or incomplete data - Effective communication
skills — you can explain technical results clearly to non-technical
audiences - Comfort working across functions and disciplines to
drive impact Nice to haves - Experience working in logistics,
marketplaces, or similarly complex operational businesses -
Exposure to business planning, pricing, or commercial
decision-making; experience with forecasting, scenario, and
financial modelling (including partnering with Finance and
Commercial teams and their models (in Excel, Google Sheets)) -
Familiarity with geospatial data - Experience in fast-scaling
startups or operational teams We're flexible on experience – if
you’re an experienced and pragmatic data scientist, with a track
record of driving impact, we’d love to hear from you. What we offer
- 25 days annual leave per year (plus bank holidays). - Equity
package. - Bupa Global: Business Premier Health Plan -
Comprehensive global health insurance with direct access to
specialists, dental care, mental health support and more. -
Contributory pension scheme. - Hybrid working - Free membership of
the gym in our co-working space in London. - Cycle-to-work scheme -
A culture of learning and growth, where you're encouraged to take
ownership from day one. - Plenty of team socials and events - from
pottery painting to life-size Monopoly and escape rooms
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