RELAY Technologies

Relay Technologies, located in Shoreditch, is on the lookout for a Senior Analytics Engineer to join their Last Mile squad. This role involves designing core data models and driving data quality to enhance Relay's data-driven operations. With a rapidly growing team and a mission to make e-commerce more accessible, you'll contribute to foundational AI systems and analytics engineering practices in an innovative environment. Join us and thrive in a culture focused on high performance, teamwork, and impactful solutions!

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 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. 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 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 hiring a Software Engineer in Shoreditch to own end-to-end problems from routing algorithms to real-time optimization tools, and to ship production-quality code weekly with autonomy. You will collaborate with top engineers, data scientists, and product leaders in a highly autonomous, impact-driven environment, with 4 days on-site and 1 day remote, and exposure to large-scale e-commerce integrations.

Relay Technologies is looking for a Data Analyst for the Pitstop squad to enhance operational efficiency by analyzing performance metrics. You will monitor aspects such as Launch Velocity and Handover Speed, ensuring effective strategies are in place for scaling the network. The ideal candidate has strong SQL skills and a minimum of 3 years of relevant experience in logistics or operational analysis, with emphasis on collaboration across teams to deliver data-driven insights.

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 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 OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. 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 Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their 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 exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. 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 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 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 Technologies seeks a Senior Operations Associate to enhance daily operational processes. This role involves ensuring accurate day-to-day forecast guidance, managing responses to disruptions, and working closely with data teams to improve operational efficiency. Ideal candidates should have 3-5 years of experience in operations or similar fields, strong communication skills, and a proactive approach to problem-solving. Join a fast-paced environment focused on reshaping logistics in the United Kingdom, based in Greater London.

Relay Technologies is seeking a Senior Data Analyst to enhance courier excellence within its Last Mile network in Shoreditch, England. The role involves measuring performance, designing experiments, and partnering with various teams to continuously improve operations. An analytical mindset is essential. As part of a dynamic team focused on logistics innovation, the ideal candidate will enjoy autonomy and contribute to shaping effective performance management metrics that are beneficial for both couriers and customers.

Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and 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 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 is 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 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. 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.

Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and 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 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 is 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 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. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Relay Technologies is seeking a Senior Data Analyst to enhance performance measurement for couriers. This role involves analyzing delivery operations to improve efficiency and manage performance continuously. Collaborate with various teams to ensure impactful decisions based on detailed data insights. The position values autonomy, autonomy, and analytical thinking, allowing for significant contributions to the company's delivery excellence strategy.

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.

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 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 A last mile marketplace runs on decisions - which parcels? on which routes? delivered by which couriers? at what price? Thousands of them, made every single day. Good decisions have fast and meaningful impact across the entire Relay Network. We're hiring for a Senior Data Scientist to build the intelligence that informs and defines how we make pricing decisions at Relay. This is a senior individual contributor role. You will work alongside Operational Research Scientists, Analysts, and Engineers in a collaborative squad focussed on developing the intelligence, strategy and technology to deliver 1000's of daily pricing decisions. What You'll Do Through your own investigation become an expert in Relay marketplace pricing dynamics, using it to define how routes are priced. Build and maintain production models that inform the daily pricing decisions. Experiment and measure the impact of model improvements or pricing strategy changes. Who Will Thrive in This Role You're a strong modeller who thinks in systems. You care about solving the problem above all else. You love working with smart, motivated people. You're fluent in python and SQL. You communicate inclusively with non-technical team members. You are successful working with high autonomy. You love seeing the impact of your work play out in a daily operation. You have experience modelling marketplace dynamics, pricing strategies 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. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Relay Technologies, located in Greater London, is hiring a Senior Data Scientist to enhance their pricing strategies and decision-making processes. You will develop models that inform daily pricing dynamics within a fast-paced environment, working alongside a talented team. This role offers significant equity packages, private health coverage, and a vibrant office culture in Shoreditch. The position emphasizes autonomy and impact, making it ideal for those who thrive in dynamic settings.

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.

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. How many parcels arrive tomorrow. Which ones to sort tonight. How many shifts to release. When those forecasts are wrong, the cost shows up in CPP: too few shifts and you pay surge premiums, too many and you waste capacity. Behind each forecast is a model, and those models need someone watching them, catching drift, and surfacing problems before they hit operations. As Lead Data Analyst for the Network squad, you will own the analytical oversight across Relay's forecasting systems. That means tracking model performance across demand forecasting, shift planning, dimensions, and BPP inclusion. When a model starts missing, you catch it. When forecast error costs money, you quantify it. When stakeholders say "the forecast was wrong," you investigate and build the case for what to fix. This is not a model-building role. The Network squad's Data Scientists build and ship the forecasting models. Your job is to ensure those models keep working, to set analytical standards for the squad, and to be the first line of defence when something breaks. You will work closely with Sortation, Middle Mile, Last Mile, Routing, and Finance to understand where forecasts are working and where they're not. 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 to the Squad Lead. Depending on your experience, this role also offers line management opportunities. What You'll Do Track forecast accuracy across all Network models: demand forecasts, shift planning forecasts, dimensions model, BPP inclusion models Surface model drift and performance issues before they impact operations - you're the early warning system Diagnose forecast errors by client, geography, day of week, and horizon, and quantify the CPP impact Build dashboards that make model performance transparent to the squad and stakeholders Set analytical direction for the Network squad: define what metrics matter, where to invest analytical effort Work with Data Scientists to build the business case for model improvements, whether that's new input signals, data quality fixes, or client-specific treatment Monitor how capacity matches demand across Sortation, Middle Mile, Last Mile, and track shift release effectiveness Translate model performance into business impact that stakeholders can act on Who Will Thrive in This Role? You catch problems before they become crises - you're vigilant about when models start behaving unexpectedly You're obsessive about data quality and forecast accuracy - you hold models accountable for their predictions You're fluent in SQL and experienced with dbt/BigQuery - you can build and maintain analytical models You've built dashboards that are operationally critical, not just 'nice to have' You have a passion for forecasting and predictive modelling - you're energised by understanding where predictions hit and where they miss You translate technical performance into business impact - CPP, surge costs, wasted capacity You're comfortable challenging Data Scientists when models aren't performing, and working with them to improve You communicate clearly with operations teams and can explain what the data shows without the jargon You have at least 5 years of experience as a data analyst or similar role You care about impact more than insight - you measure success by whether forecasts drive better decisions 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. Grow the Whole Pie If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. 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. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.