RELAY Technologies

A leading logistics technology firm is seeking a Senior Analytics Engineer to support its Last Mile squad. The role revolves around designing data models, ensuring high data quality, and collaborating across teams to meet data needs. Ideal candidates should have over 5 years of experience in analytics, strong SQL and Python skills, and familiarity with tools like BigQuery and dbt. This position offers a unique opportunity to influence cutting-edge data solutions in a rapidly scaling environment.

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 At Relay, we rely on data to guide how every parcel moves through our network - from when it enters the system to when it's delivered at the doorstep. Our data infrastructure is the backbone that powers everything from real-time operational decisions to strategic business insights to networks of autonomous AI agents. We're looking for a Senior Analytics Engineer to sit within our Last Mile squad; our biggest and most data rich squad. Your role will help contribute to the success of the key agentic workflows that power our Last Mile marketplace. You'll be joining at an exciting moment as we grow rapidly and expand our network across the UK. Who Will Thrive in this role? Design core data models - Partner with engineers and business leaders within the Last Mile squad to design and build foundational data models that power analytics, data science and AI workflows Build the foundations for our key AI systems - Our Last Mile marketplace is becoming increasingly agentic, you will be a key owner of the inputs that power these systems Drive data quality - Implement testing, monitoring, and alerting to ensure our data is accurate, timely, and trustworthy Collaborate - Work with team members across the business to understand their data needs and deliver solutions Shape our practices - Help define and evolve our analytics engineering processes and standards as we scale What We're Looking For 5+ years of experience as an analytics engineer, data engineer, data analyst or similar role Extensive experience with SQL, particularly with BigQuery and PostgreSQL Demonstrated experience with dbt, with a track record of building and maintaining efficient, scalable, and reliable DAGs Python proficiency for data manipulation, scripting, and automation Experience with data visualisation tools such as Tableau, Looker, or similar Experience in effective communication, particularly in gathering requirements and guiding non-technical stakeholders to the right data solutions Familiarity with using AI tools to accelerate your workflow Nice to Have Experience with orchestration tools like Dagster, Airflow, or similar Experience building real-time or near-real-time data pipelines Familiarity with machine learning workflows and feature engineering Experience embedded in teams building customer facing products Previous experience of learning and modelling an unfamiliar operational domain A desire to see the real world impact of what you work on! 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 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 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 90 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 Senior Data Scientist - Strategic Finance Relay's network is scaling fast. The decisions that shape that growth, where to expand, how to price, where to invest, depend on models that can simulate how the network actually behaves and how it will develop as density, geography, and operating models change. Those models need to be faster, more dynamic, and more modular than what exists today. This role exists to build them. 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. When the business asks "what happens to our cost per parcel if we enter a new region, change a service type, or shift our first-mile operating model?", your system answers that question, fast and accurately. Your models span the full network, from volume forecasting through to routing. But the real job is bigger than any single model. You deeply understand the components of our network economics, you know where the current models are wrong or incomplete, and you systematically upgrade them. When a new operating model is introduced in the first mile, you upgrade that component. When a new service type changes sortation costs, you understand the change at a granular level and build a model that captures it properly. 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'll be supported by a dedicated finance analyst within the squad who builds the reporting and visibility layer on top of your models, working directly with you on priorities and analytical approach. Who Will Thrive in This Role? 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. Compensation and Benefits 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). 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 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 Work Alongside Industry Leaders Karthik Harith - VP Operations Karthik is an operator and GM with a track record scaling multi-channel retail and operations across the UK, Germany, and France. Prior to Relay, he operated at VP/General Manager across multiple markets and brands (Getir, Gorillas, and Frichti). He holds a BS in Electrical Engineering (Brown) and an MBA in Finance (HEC Paris). At Relay, Karthik leads Operations, bringing rigorous execution and scaling experience to solve hard, real world logistics problems end to end. Relay's Mission Relay exists 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 Opportunity Relay's network runs on forecasts. Every day, models predict how many parcels will arrive, which ones to sort tonight, how many shifts to release, and how many bags each route needs. The Network squad owns those forecasts and the operational processes that turn them into action. When teams plan to the right number, the network runs efficiently. When they over plan, capacity goes to waste; when they under plan, cost surges and operational performance suffers. At a high level, the outcome you will drive is excellent day to day forecast guidance-ensuring teams across the network plan to the right number every day. This is one of the most powerful cost levers in the business. As Senior Operations Associate, you will own the day to day operational processes that drive this outcome. You will be the squad's operational backbone: the person who keeps the network on track, steps in when things break, and coordinates the right teams when the operation is under stress. This is fundamentally an operational role-high-context, high ownership, and central to how the network runs every day. Alongside the day to day execution, you will have the opportunity to keep critical projects moving forward across the squad. As a Senior Operations Associate, Network at Relay at Relay, you'll: Own the quality of day to day forecast guidance. Co build and operate the systems that decide how much volume flows through our network every day, ensuring teams plan to the right number-neither over nor under planning. Continually improve these systems, partner with other Operations teams to resolve issues, and maintain a clear specification for Data and Engineering to automate further as resources become available. Plan the business through scheduled operational moments. When demand is going to deviate from the norm-busy shopping periods, holidays, planned promotions-you will develop the operational plan and make sure all relevant teams are prepared, aligned, and acting on the same source of truth. Lead the response to unplanned incidents. When something disrupts the network-adverse weather, supply side shocks, or unexpected client behaviour-you will step in to own the recovery and run the retro process to ensure follow ups are actioned. Work shoulder to shoulder with the data team. When forecasts look off or operations flag a problem, you will dig into the numbers, interrogate the models, and help the Data Scientists and Analysts pinpoint where the models are creating real world friction. You will not be building the models- but you will be a trusted partner in pressure testing them. Help keep the squad's programme of work on track-beginning with coordination and follow up, and growing into a role that guides what the squad prioritises as you build context and credibility. Who Will Thrive in this role? Resilience and high ownership. You enjoy being at the centre of how the network runs each day. The work spans daily execution and complex, ambiguous problem solving, and you take real pride in owning the outcome of both- including stepping in when other teams or processes need support. Project literacy. You have run projects or worked closely with Programme Managers in prior roles. You're comfortable absorbing the administrative scaffolding of a programme without requiring a senior PM to direct you. A bias for action. You would rather get something working today than design the perfect solution for next quarter. You know when to elevate and when to just fix it. Strong written communication. At Relay, a well structured doc or one pager is often how you get things done- it's how you align people, define problems, and create momentum without a meeting. 3-5 years of experience in operations, programme management, consulting, or a similar function-ideally somewhere fast moving where the playbook was being written in real time. Data literacy. Comfortable with SQL and able to query data independently to investigate operational issues. You can articulate the data and insight you need with sufficient clarity that an AI agent or analyst can act on it. You don't need to be building dashboards yourself - but you should be capable of pulling your own numbers when you need to. The qualifications and experiences above act as a loose guide to what we're looking for. We'd still love to hear from you if you have more or less experience, so long as the core skills can be demonstrated. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Hiring Manager Interview - 45 min Case Exercise - 90 min Final Interview w/ VP Operations - 30 min Decision and offer within 48 hours, our process mirrors our pace of work, typically completed in a week. 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.

A logistics technology company in London is seeking a Senior Data Analyst to enhance the finance team's analytical capabilities. The ideal candidate will have over 5 years of experience and expertise in SQL, ensuring the development of reliable reporting and insightful dashboards. Responsibilities include translating data into actionable analytics, collaborating across teams, and owning financial metrics visibility. This role is based in a vibrant office in Shoreditch and emphasizes a proactive approach to data analysis and reporting.

A leading logistics firm in London seeks a passionate individual to tackle complex challenges spanning the full stack of technology. You will work closely with team members, taking ownership of real-world problems and ensuring user experience remains paramount. This role requires strong problem-solving abilities, collaborative skills, and a continuous improvement mindset. Join us in reshaping e-commerce logistics where you can truly make an impact and thrive in an inclusive workplace.

A logistics innovation company in London is seeking a Senior Data Scientist to drive the simulation of their logistics network. You'll develop modular models that answer complex business questions regarding pricing and expansions. Ideal candidates will have strong modelling skills, proficiency in Python and SQL, and the ability to communicate insights clearly to non-technical partners. The role offers equity, comprehensive health coverage, and extensive perks including holidays and flexible working arrangements.

A fast-growing logistics startup in London seeks a Software Engineer to tackle challenging problems and collaborate with experienced professionals. The role involves impactful work from optimizing operational tools to developing scalable applications. This company offers competitive compensation, generous equity, and several benefits, including private health coverage and flexible work arrangements. If you are driven by precision and teamwork, consider joining this innovative team.

A leading logistics technology firm in the City of London is looking for a Senior Data Analyst to own analytics for growth initiatives. This role involves defining new KPIs, working across teams, and partnering with finance for setting targets. Candidates should have a minimum of 5 years of experience, strong SQL skills, and be comfortable presenting findings to senior leadership. Competitive compensation includes generous equity and extensive benefits tailored for employee well-being.

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. 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 Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large scale ML based inference at Meta. At Relay, Diego's infectious enthusiasm and hands on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross platform Flutter apps with a deep focus on user experience Cloud native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT powered operations What you'll do Embed with enterprise clients during onboarding to deliver end to end technical success: integration, data quality, metrics alignment, and operational readiness. Partner closely with AMs, and external clients to define and implement a delivery performance metrics spec, and build client specific dashboards that track these metrics in real time for both the client & Relay Improve and extend Relay's client integrations (APIs/webhooks/data feeds), increasing reliability, reducing exceptions, and lowering cost per shipment. Build tooling for integration observability (dashboards, alerting, reconciliation, replay) and drive measurable reductions in integration related incidents. Stand up forecast ingestion and validation workflows to improve network planning accuracy and service levels. Feed repeatable learnings back into Relay's platform (templates, SDK patterns, metric contracts, connector blueprints) to scale onboarding and reduce bespoke work. What success looks like Client metric alignment achieved with signed off definitions and automated reconciliation. Material reduction in AM/Ops time spent on reporting disputes and manual data work. Improved integration uptime, lower error rates, faster issue resolution (clear SLOs). Forecast accuracy and timeliness improves; operational planning volatility decreases. New client onboarding time and marginal integration cost goes down quarter over quarter. Ideal background Strong software fundamentals (APIs, distributed systems basics, data pipelines). Customer facing maturity: you can run a room with technical + business stakeholders. Bias to shipping: you turn ambiguity into production outcomes quickly. Comfort in chaotic reality: inconsistent data, changing requirements, operational pressure. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. 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.

A logistics technology startup based in Greater London is seeking a motivated individual to manage client integrations and improve operational efficiency. The role includes working closely with enterprise clients to ensure successful onboarding and effective performance metrics. Candidates should possess strong software fundamentals and the ability to navigate complex, changing environments. The company offers an exciting atmosphere focused on innovation, with generous equity and excellent benefits including health coverage and flexible working arrangements.

A logistics innovation company in Greater London is seeking a Senior Data Scientist to lead forecasting models crucial for operational decisions. You will monitor model accuracy, work alongside data engineers, and contribute to methodology decisions. This role demands strong skills in Python and SQL with 5+ years of experience in data science. The position offers rich equity benefits, generous health coverage, and a hybrid work model in a vibrant office environment.

Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), 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 90 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 Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Cross-platform Flutter apps with a deep focus on user experience Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations What you'll do Work across the full stack of technology, from mobile all the way down through data infrastructure. Take end-to-end ownership over thorny real-world problems, like using machine vision to automatically assess proof of delivery photos. Collaborate with team members across the company. Regularly spend time in the field learning how the technology you build impacts our couriers and parcel recipients. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Build a UI Component Interview - 1 hour Design and Mobile Fundamentals Interview + AI Programming (Build an APP) - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours, our process mirrors our pace of work, typically completed in a week. 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.

Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), 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 90 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 Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. 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 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 90 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 network moves parcels through a chain of operations: First Mile, Sortation, Middle Mile transport, Pitstops, and Last Mile delivery. The efficiency of that chain determines our cost per parcel - and Middle Mile and Sortation are where some of the biggest operational levers sit. As Lead Data Analyst for Middle Mile & Sortation, you will own the analytics that drive efficiency across four of Relay's most operationally complex domains, from First Mile through to Pitstops. Middle Mile connects our Hybrid Sort Centres to Pitstops. Sortation is what happens inside the warehouses - a mix of operatives and robots working together to process thousands of parcels daily. Both domains are rich with data, full of trade offs, and directly tied to unit economics. This is a player coach role. You will lead a small team - the Middle Mile & Pistops Analyst and the Sortation & First Mile Analyst - setting direction, providing coaching, and creating the conditions for them to do excellent work. But you'll also be hands on yourself, building models, digging into data, and solving hard problems directly. When something complex needs figuring out, you're in the work, not just reviewing it. Relay operates a centralised data team, with analysts embedded into squads across the business. You will work with the Middle Mile & Pitstops, and Sortation & First Mile squads, but report into the centralised data team. You'll be the analytical voice at the leadership table, influencing priorities, making trade offs explicit, and shaping where the squad focuses its efforts. This role reports to the Data Analytics Lead. What You'll Do Identify and quantify the biggest cost per parcel reduction opportunities across our operations Build models that make operational trade offs explicit: cost vs. reliability, speed vs. utilisation, capacity vs. flexibility Shape Middle Mile network design: where vehicles go, when they arrive, and how efficiently they're used Drive Sortation efficiency: workforce scheduling, throughput optimisation, and the balance between human and robotic capacity Line manage two Analysts: set goals, provide coaching and feedback, and support their development Act as a trusted advisor to the squads, shaping where analytical efforts are focused and what gets prioritised Represent the analytical perspective in leadership discussions, influencing decisions and driving focus Who Will Thrive in This Role You take full ownership of your domain and don't wait for someone to tell you what's important You're comfortable leading a small team while still doing significant hands on analysis yourself You build models that quantify trade offs and make complex operational decisions clearer You translate analytical results into recommendations that operations and leadership can act on You're fluent in SQL and experienced with BI tools, with strong problem solving instincts You have at least 5 years of experience, ideally with some exposure to logistics You care about developing the people you lead, not just the work they produce You thrive in operational environments where the data is messy and the stakes are real Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Technical SQL Interview - 1 hour Hiring Manager Interview - 45 min Case Study - 1 hour Values & Impact Interview - 45 min 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.

A logistics technology company based in London seeks a Head of Data Platform to lead the data strategy and oversee a team of analytics engineers. You will focus on transforming raw data into actionable insights while ensuring its reliability and accessibility for various stakeholders. This role requires strong technical and leadership skills, as well as experience in data platforms. The company supports a collaborative environment with extensive benefits including equity opportunities and a hybrid work model.

A cutting-edge logistics firm is seeking a Lead Data Analyst for Middle Mile and Sortation to optimize operations and drive efficiency. This player-coach role involves leading a small team while directly engaging in hands-on data analysis. Ideal candidates will have over 5 years of experience, fluency in SQL, and a robust understanding of logistics. Located in Shoreditch, the position offers a hybrid work model with comprehensive benefits, including equity and health coverage.

Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), 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 • 90 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 network generates data at every touchpoint. Couriers, routes, parcels, sortation, pricing, demand signals. That data is the raw material for every decision the business makes, and increasingly, for the AI systems that make decisions autonomously. As Head of Data Platform, you will own the infrastructure that turns raw data into usable signal. That means the transformation layer (dbt), the semantic layer (Cube), the pipelines that feed them, and the standards that make the output trustworthy. You will be responsible for data being ready for human analysts, for dashboards, for ML models, and for agents that act without human review. This is a foundational leadership role where you will inherit a high-performing engine. The platform already powers critical decision-making across every department, underpinned by a mature dbt architecture, a semantic layer with rigorous naming conventions, and a workflow where the team has successfully leveraged AI to drive exceptional productivity. Your challenge is to take this 'V1' success and scale it into a global-class platform that remains the single source of truth as our complexity grows. You will lead a team of data and analytics engineers who are deeply technical and take immense pride in their craft. They are highly autonomous and possess a clear vision for what 'good' looks like. What they need is someone who can set strategic direction, prioritise across competing demands, and represent the platform's interests at leadership level. You will work closely with Engineering to shape how upstream systems produce data, not reactively cleaning up after them. This role reports to the Director of Data. What You'll Do Own the data platform roadmap: transformation, semantic layer, orchestration, and the tooling that makes the team fast Lead and grow a team of senior analytics engineers, setting technical standards and creating space for them to do their best work Partner with Engineering to define contracts and expectations for how data is produced at source Set the self-serve strategy: make data accessible to analysts, PMs, and operators without bottlenecking on your team Extend the platform for automated and AI-driven systems: Ensure data is structured for programmatic action, with an uncompromising focus on accuracy and observability so that agents act on a foundation of absolute trust. Own strategy for emerging data types: unstructured data, telematics, real-time signals Represent the platform in leadership discussions, translating technical constraints into business terms Who Will Thrive in This Role? You've led analytics engineering or data platform teams before, and you're comfortable with both the technical depth and the people leadership You're a player-coach: you can review a dbt PR, debug a performance issue, and then context-switch to a prioritisation discussion with a VP You think in systems: how data flows, where quality breaks down, what contracts need to exist between teams You're pragmatic about standards. You know when to enforce and when to flex You're comfortable with strong individual contributors and can create alignment without micromanaging You've worked in environments where data powers not just dashboards but automated systems You communicate clearly with technical and non-technical stakeholders, and you're not afraid to push back when the platform's integrity is at stake Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Hiring Manager Interview - 45 min Case Study - 1 hour Values & Impact Interview - 1 hour 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. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

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 network runs on forecasts. Every day, models predict how many parcels will arrive, which ones to sort tonight, how many shifts to release, and how many bags each route needs. When those predictions are right, operations run smoothly. When they drift, the cost shows up fast: routes cancelled from a dimensions model that shifted, surge premiums from under-predicted volumes, wasted capacity from over-forecasting. As a Data Analyst in the Network squad, you will monitor and interrogate the performance of every model the squad owns - demand forecasts, collection predictions, parcel dimensions, shift planning, and demand management allocation. The focus is analytical oversight rather than model building: Is accuracy holding? Where is bias creeping in? Which clients are the models struggling with? Why did Tuesday's forecast miss by 12%? When something is off, this role involves investigating the root cause, quantifying the impact, and collaborating with the Data Scientists to fix it. This requires strong dashboarding skills. You'll build the monitoring infrastructure that makes model performance visible to the squad and to the downstream teams that depend on these forecasts. You'll also develop a deep understanding of these models - their strengths, their weak spots, their failure modes - so the squad can catch changes early. 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 Network squad, reporting into the centralised data team. You'll work closely with Sortation, Middle Mile, Last Mile, and Routing - the squads that rely on the accuracy of the forecasts you're monitoring. What You'll Do Provide analytical oversight of the Network squad's models - demand forecasts, collection predictions, dimensions, shift release, and demand management allocation - in collaboration with Data Scientists and engineers Investigate forecast errors by client, sort centre, day of week, and horizon - not just "accuracy is 92%" but "accuracy drops to 78% for TikTok on Mondays and here's what that costs us" Quantify the CPP impact of model errors, working with the squad to understand how a 5% shift forecast miss translates into surge premiums or wasted capacity Build dashboards that the squad and stakeholders rely on - accuracy tracking, bias monitoring, drift detection, model comparison before and after changes Design alerting that surfaces model degradation before it hits operations, contributing to the squad's early warning capability Partner with Data Scientists to validate model changes: did that retrain actually improve things, or did it just shift the error somewhere else? Investigate when things go wrong - a forecast missed badly, a model drifted, a client's behaviour changed - working with the team to find out why and prevent recurrence Translate model performance into language that Sortation, Last Mile, Middle Mile, and Finance can act on - helping build trust in the forecasts across the business Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer Who Will Thrive in This Role? Experience investigating data quality and model performance - spotting when numbers don't look right and following through to understand why Familiarity with how predictive models work - their behaviour, assumptions, and common failure modes Strong SQL skills, with experience using dbt and BigQuery or similar tools to build analytical pipelines Experience building monitoring dashboards that inform regular decision-making Clear communication with both technical and non-technical stakeholders - explaining model performance without unnecessary jargon At least 3 years of experience in a data analyst or similar role Bonus: comfort with Python for ad-hoc analysis and automation A focus on impact - success in this role means the squad catches problems faster and the models improve over time 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.