Data Analyst - Pitstops

Relay

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay’s Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM • ~110 people, more than half in engineering, product and data • 45+ advanced degrees across computer science, mathematics and operations research • Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle • An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation About the role 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. When those models are right, the network runs efficiently and cost per parcel drops. When they drift, the cost compounds across every stage of the operation. The Network squad builds and maintains the forecasting engine that powers all of it. As a Senior Data Scientist in the Network squad, you will lead a core domain within that engine, working alongside other Data Scientists and Analysts who each bring different expertise. The scope spans demand forecasting, expansion modelling, parcel intelligence, and sortation predictions - and the specific domain you take on will depend on your strengths and what the squad needs most. What's common across all of it: you will build and maintain models that directly drive operational decisions for multiple teams across Relay, every day. This means different things depending on the domain. It might mean building the expansion models that determine where Relay grows next: which outcodes to enter, how volumes ramp in new areas, and how the pitstop network should evolve. It might mean working on the dimensions model that predicts parcel weights and sizes before they arrive, feeding route planning and vehicle loading decisions. It might mean extending the demand forecast horizon from 7 days toward 30, giving downstream teams more lead time to plan. Or it might mean improving the predictions that determine what volume is available to sort on a given night, and how that volume should be allocated across sort centres. Relay operates a centralised data team of around 30 Data Engineers, Analysts, and Data Scientists, with specialists embedded into squads across the business. You will sit in the Network squad alongside other Data Scientists and Analysts, reporting into the centralised data team. The squad is growing, and you will have significant influence over its technical direction and the modelling approaches it adopts. You will be supported by Analysts who build the monitoring and reporting layer, and a squad lead who sets strategic direction. What You'll Do * Build and maintain forecasting models within your domain - from initial exploration through to validation and production deployment * Learn the operational processes your models serve, supported by the squad and the teams who use the forecasts, and identify where the current approach falls short * Monitor how your models perform in production, investigate when accuracy drops, and work with the squad to improve them * Contribute to methodology decisions and validation approaches, working with other Data Scientists in the squad to improve the forecasting engine over time * Translate problems from consuming squads into data science problems - Sortation, Middle Mile, Last Mile, Routing, and Commercial each depend on Network's forecasts * Work with Finance, who extend the operational forecasts into longer-range financial projections, to ensure the handoff between operational and financial models is reliable * Quantify the impact of model errors on cost per parcel, helping the squad and stakeholders prioritise where to invest effort * Influence the squad's technical direction and modelling approaches as the team grows Who Will Thrive in This Role? * Experience thinking about interconnected systems - understanding that a demand forecast isn't just a number, but flows through shift release, van dispatch, route planning, and courier allocation. You're interested in how your models connect to the models around them. * A track record of building and delivering models. You've worked from ambiguous starting points before - understanding the problem, building something useful, validating it against real operations, and iterating. You evaluate models beyond standard offline metrics - connecting outputs to downstream applications and business KPIs, and measuring how improvements translate into operational impact. The squad works collaboratively to define priorities and scope, and you'll have support from the squad lead and your peers as you ramp up * Strong Python and SQL, and comfort working across the modelling lifecycle - from data extraction and feature engineering through to model training, validation, and production deployment. You've worked with time-series forecasting methods - whether classical statistical approaches, gradient boosting, deep learning, or a combination - and you understand the trade-offs between them. Experience with data engineering is useful, and you'll be supported by a dedicated engineer in the squad. * You have at least 5 years of experience in a data science or quantitative modelling role, with examples of models you built that informed operational or commercial decisions. You've taken models from notebook to production - writing maintainable code, building pipelines that run reliably, and debugging when they don't. You've contributed to methodology decisions and understand that a model isn't done when it trains well; it's done when it's running, monitored, and trusted. * You have experience communicating with non-technical stakeholders. The squads that consume the forecasts need to trust them, and that trust comes from explaining what the models do, where they're reliable, and where they're not. * You’re comfortable using AI tools - LLMs, code assistants, and similar - to accelerate your workflow, from exploratory analysis to code generation, and you're curious about where these tools can augment the modelling process itself. * This role suits someone who wants to see whether their models made a real difference to how the network operates - there is a direct feedback loop between your work and operational outcomes. * 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. Compensation, Benefits & Workplace * 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. * Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. * Hardware of your choice. * Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? * Aim with Precision: You define problems clearly and measure your impact meticulously. * Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. * 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. * All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. * People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. * Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let’s connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Relay

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay’s Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM • ~110 people, more than half in engineering, product and data • 45+ advanced degrees across computer science, mathematics and operations research • Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle • An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay’s Hybrid Sort Centres are where parcels enter the network, get sorted into routes, and flow out to delivery. Sortation is operationally complex: warehouse operatives, intake scanners, supervisors, and robots all working together to process thousands of parcels daily. First Mile is how those parcels arrive - collections from retailers, with all the variability that brings. Together, these domains sit at the start of the network and set the pace for everything downstream. As a Data Analyst in the Sortation & First Mile squad, you will own the analytics for both domains. The work is broad: cost investigations, workforce planning, capacity analysis, performance tracking, and operational reporting. Your analysis won’t sit in a dashboard waiting to be discovered - it will shape how shifts are scheduled, how volumes are managed, and where the operation focuses its improvement efforts. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Sortation & First Mile squad, but report into the centralised data team. You’ll work closely with operations, commercial, and finance to turn data into decisions that affect how the network runs every day. What You’ll Do * Investigate cost per parcel: where are we spending too much, where are savings available, and what’s driving the variance * Track operative performance across roles: throughput, accuracy, shift utilisation, and the balance between direct and agency labour * Monitor robot efficiency and capacity: what volumes can they sustain, where are the bottlenecks, how do they compare to manual processing * Build models to predict shift requirements and automate workforce planning, prioritising top-performing operatives * Analyse injection volumes and manifest accuracy: how much are we actually sorting vs. what’s forecast, and where are the gaps * Define KPIs and build dashboards that make sortation and first mile performance transparent to operations and leadership * Work with commercial teams to set volume limits and injection timing that balance growth with operational stability Who Will Thrive in This Role? * You want to understand how an operation actually works, not just analyse it from a distance * You’re excited by cost problems - finding where money is leaking and building the case for how to fix it * You can navigate messy operational data and turn it into metrics people trust * You’re comfortable working with operations teams and embedding your analysis into their daily workflows * You’re fluent in SQL and experienced with BI tools, with strong problem-solving instincts * You have at least 3 years experience, ideally with some exposure to logistics * You care about impact, not just insight - you measure success by whether the operation runs better * You communicate clearly with non-technical stakeholders and can explain what the data shows and where the limitations are Fast and Focused Hiring Process 1. Talent Acquisition Interview - 30mins | Online 2. Hiring Manager Interview - 45mins 3. SQL Live Coding - 60mins 4. Case Study - 60mins 5. Relay Operating Principles & Impact- 60mins 6. Decision and offer within 48 hours. Our process mirrors our pace of work. Compensation, Benefits & Workplace * 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). * Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Who Thrives at Relay? * Aim with Precision: You define problems clearly and measure your impact meticulously. * Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. * 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. * All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. * People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. * Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let’s connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Relay

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay’s Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM • ~110 people, more than half in engineering, product and data • 45+ advanced degrees across computer science, mathematics and operations research • Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle • An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay’s Last Mile network runs on couriers - tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring for a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There's a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation: Every handover is a trade-off between competing outcomes - speed, quality, and risk. Moving any one of them can have knock-on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade-offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management: Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality - defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier-facing analytics: Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role * You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. * You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. * You care about solving the problem more than which techniques you use. * You love working with smart, motivated people. * You're fluent in SQL. * You're comfortable across the analytical spectrum - designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. * You communicate inclusively with non-technical team members. * You love seeing the impact of your work play out in a daily operation. * Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace * 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. * Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. * Hardware of your choice. * Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? * Aim with Precision: You define problems clearly and measure your impact meticulously. * Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. * 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. * All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. * People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. * Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let’s connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.