Senior Data Scientist - Relay Network

Relay
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Senior Data Scientist – Machine Learning -  Defence – Eligible for SC

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

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 model and optimise Relay's end-to-end 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, middle mile, last mile, marketplace, and commercial functions to help forecast demand, plan resources, and drive sustainable growth. 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

  1. Design, prototype, and deploy models to support demand forecasting, resource planning, and strategic decision-making
  2. Build and own financial and operational models that help simulate trade-offs across the Relay network
  3. In partnership with MLE and our Staff Network Data Scientist, orchestrate and automate model pipelines in production, making sure our tools scale as we grow
  4. Collaborate with analysts, engineers, and product managers to embed models into decision processes and tooling
  5. Leverage AI and programmatic techniques to extract structure from messy or ambiguous data sets
  6. Translate business questions into analytical problems and analytical results into actionable recommendations
  7. Act as a thought partner for commercial, operations, and finance leads - bringing a scientific lens to planning and growth questions

What we're looking for

  1. 6+ years of experience in data science, with a strong record of delivering models into production
  2. Deep experience with Python and SQL
  3. Strong foundations in statistics and probability, with experience applying them in operational and/or financial contexts
  4. Comfort working in ambiguity and navigating messy or incomplete data
  5. Experience with forecasting, scenario modelling, and financial modelling (including partnering with Finance and Commercial teams and their models (in Excel, Google Sheets))
  6. Effective communication skills - you can explain technical results clearly to non-technical audiences
  7. Comfortable working across functions and disciplines to drive impact

Nice to haves

  1. Experience working in logistics, marketplaces, or similarly complex operational businesses
  2. Experience using LLMs or AI tools to structure and extract meaning from unstructured data
  3. Experience automating workflows and deploying model pipelines (e.g. Airflow, dbt, MLFlow, or similar)
  4. Exposure to business planning, pricing, or commercial decision-making
  5. Familiarity with geospatial data
  6. 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

  1. 25 days annual leave per year (plus bank holidays).
  2. Equity package.
  3. Bupa Global: Business Premier Health Plan - Comprehensive global health insurance with direct access to specialists, dental care, mental health support and more.
  4. Contributory pension scheme.
  5. Hybrid working
  6. Free membership of the gym in our co-working space in London.
  7. Cycle-to-work scheme
  8. A culture of learning and growth, where you're encouraged to take ownership from day one.
  9. Plenty of team socials and events - from pottery painting to life-size Monopoly and escape rooms

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Summit London 2025: A Complete Guide for UK AI Engineers & Recruiters

Artificial intelligence may be a border-less technology, but every ecosystem needs a beating heart where the community meets face-to-face. For the British Isles that heart is The AI Summit London, the headline AI event of London Tech Week, returning to Tobacco Dock on 11–12 June 2025. With eight content stages, 4 500+ attendees and 300 speakers spanning government, FTSE-100 giants and rocket-ship start-ups, the Summit offers a year’s worth of insight, deal-making and career acceleration in just 48 hours. Whether you are an AI engineer optimising vector databases, a data scientist pivoting into prompt ops, or a hiring manager scouring the market for talent, this handbook distils everything you need to hit the ground running—from ticket tactics and agenda highlights to networking hacks and post-event ROI.

AI Engineer World’s Fair 2025: The Complete UK Guide to June’s Unmissable AI Engineering Event

If 2024 was the year every product team rushed to bolt an LLM onto their roadmap, 2025 is when the craft of AI engineering finally takes centre stage. From rapid-fire prompt iterations to robust eval pipelines, the discipline now demands the same rigour we once reserved for cloud infra or mobile apps. That is precisely why the AI Engineer World’s Fair, 3–5 June 2025 in San Francisco, matters more than any keynote or press release: it is the one place where the movers, makers and maintainers of production-grade AI swap battle-tested patterns in person. For UK technologists—and the recruiters who hire them—the Fair offers a rare chance to compress a year’s worth of learning, networking and tooling discovery into three intense days. Whether you are scaling RAG systems on Azure, bootstrapping an agentic start-up from your kitchen table, or simply hunting for your first AI engineer job, the sessions, workshops and hallway conversations can tilt your career trajectory. The guide that follows distils everything you need to know—programme highlights, travel hacks, ticket tips and post-event ROI—so you can decide if a flight across the Atlantic (or a virtual pass) is the smartest investment you’ll make this year.

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.