Data Scientist - Middle Mile & Pitstops

Relay Technologies; London; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

Relay Technologies, a fast-growing logistics startup, is seeking a Data Scientist to enhance their middle mile operations and optimally utilise their data assets. This role offers the chance to work collaboratively across functions, focusing on real-world impacts in a rapidly scaling environment. The position promises generous benefits, including a hybrid working model and growth opportunities.

Benefits

Generous equity package

25 days annual leave, plus bank holidays

Bupa Global Business Premier health plan

Enhanced Parental Leave

Contributory pension scheme

Friday office lunches

Access to cutting-edge AI tooling

Free gym membership via co-working spaces

Cycle-to-work scheme

Regular team socials and events

Qualifications

• 2+ years of experience in data science.
• Strong experience with Python and SQL.
• Solid foundations in statistics and probability.

Responsibilities

• Modelling and improving cost and efficiency of middle mile operations.
• Partnering with teams on driver acquisition and pricing.
• Optimising performance tracking through data analysis.

Skills

Python

SQL

Statistics

Probability

Communication

Problem Solving

Job description

Company mission

In the future, commerce will be instant, local, and seamless. What we now call "e-commerce" will simply be how we shop.

Relay is building the logistics network that e-commerce should have had from the start. We're designed from the ground up for sustainability - environmental, social, and economic. By rethinking both the middle and last mile, we cut miles driven, reduce carbon emissions, lower costs, and return value to local communities.

Behind the scenes, we orchestrate this with cutting-edge tech: from smart routing and real-time planning to seamless tools that empower our ground teams.

We’re not just building the future, we're scaling it fast.

• We just closed a $35M Series A, the largest ever for a logistics tech startup in Europe.

• Brands like Vinted, TikTok, and Temu are choosing Relay to power their UK expansion.

• We're growing at a top 0.01% among all European Series A startups.

About the role

As a highly operational business, we rely on data science to power every part of our network. From day one, we’ve built Relay around a deep understanding of our supply chain, using our best-in-class data assets to set strategy, improve quality, and optimise performance across every layer of the network. Our high-impact data team works across forecasting, optimisation, pricing, geospatial modelling, infrastructure planning, and more. Whether it’s planning courier capacity, guiding pitstop expansion, or improving the economics of delivery, our work directly shapes how Relay scales.

We are looking for Data Scientists to join our growing data team; these are hands-on roles with wide scope and strong exposure to decision-making. You’ll partner closely with operations, product, and commercial teams to solve practical problems with real-world impact, often working from messy datasets and complex systems, where the answers don’t sit neatly in one model. You’ll be embedded in cross-functional teams, helping drive cost, quality, and reliability across the network. If you’re motivated by fast feedback loops, strong ownership, with strong exposure to leadership, and the chance to shape a growing system from the inside out, we’d love to hear from you.

Open Roles

Data Scientist - Middle Mile and Pitstops

We are looking for a Data Scientist to join our Middle Mile and Pitstops squad, responsible for the growth, performance, and economics of both our Middle Mile Fleet, and our Pitstop network. This role spans across domains, touching forecasting, pricing, operations, and commercial planning, and is ideal for someone who thrives on applying models in ambiguous, real-world environments. Example projects include:

• Modelling and improving the cost, quality, and efficiency of middle mile operations, including vehicle use, timings, and handover reliability

• Modelling estimated route length for Middle Mile Routes by combining real-time geospatial data with historic route and courier intelligence

• Partnering with marketplace and ops teams to optimise driver acquisition, targeting, and pricing for the middle mile

• Optimising pitstop expansion in line with volume growth, capacity, and service levels

• Modelling pitstop-level LTV and unit economics to support capital investment and performance tracking

• Collaborating with other data scientists to support geo-sequencing, zone design, and integration with routing models

• 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

• 2+ years of experience in data science, with experience delivering models into production

• Strong 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

• Generous equity package

• 25 days annual leave, plus bank holidays

• Bupa Global Business Premier health plan – including mental, dental, and optical cover

• Enhanced Parental Leave:

  • 20 weeks of fully paid maternity leave

  • 4 weeks of fully paid paternity leave

• Contributory pension scheme

• Friday office lunches

• Access to cutting-edge AI tooling

• Hybrid working from our dog-friendly Shoreditch office

• Free gym membership via our co-working spaces

• Cycle-to-work scheme

• Regular team socials, events, and offsites!!