Senior Analytics Engineer at Relay | London

Relay is revolutionizing the logistics landscape for the digital age. With a record-breaking $35M Series A funding, the largest in European logistics history, and support from innovative investors like Plural, Relay is outpacing 99.98% of its venture-backed peers. We are on a quest to build the most skilled team the logistics industry has ever seen.Our Mission is to eliminate friction in commerce. Currently, exorbitant delivery costs serve as a hidden barrier to online shopping, shaping what can be sold online and who can engage in it. We aspire to create a world where more goods can move freely among more people, enhancing the online shopping experience for all.THE TEAM• Comprising approximately 110 professionals, with over 50% in engineering, product, and data roles.• Home to 45+ advanced degrees in fields like computer science, mathematics, and operations research.• We analyze thousands of data points for every parcel we handle.• Our culture thrives on first-principles thinking, rapid feedback, and continuous experimentation.The OpportunityAt Relay, our operations are driven by data that informs the journey of every parcel, from entry into our system to delivery at the customer's door. Our data infrastructure supports real-time operational decisions, strategic insights, and networks of autonomous AI systems.We are seeking a Senior Analytics Engineer to join our Last Mile squad, which is our largest and data-richest team. Your contributions will be vital to enhancing key workflows that drive our Last Mile marketplace.This is an exciting time to join as we rapidly expand our network across the UK.Who Will Succeed in This Role?Design and Develop Core Data Models - Collaborate with engineers and business leaders within the Last Mile squad to create and implement foundational data models that support analytics, data science, and AI workflows.Establish Foundations for Key AI Systems - As our Last Mile marketplace grows increasingly intelligent, you will play a crucial role in managing the inputs that drive these systems.Ensure Data Quality - Implement robust testing, monitoring, and alerting mechanisms to maintain high data integrity across our systems.

Join Relay, a pioneering force in the evolution of online logistics. With a historic Series A funding round of $35 million, led by Plural, a notable deep-tech investor, Relay is outpacing 99.98% of venture-backed startups. We are building an exceptionally talented team, setting new standards in the logistics sector.Our Mission is to eliminate friction in commerce. High delivery costs are a hidden barrier to e-commerce, influencing what can be sold online and who can participate in the market. We aspire to create a world where goods flow freely among people, ensuring a seamless and inclusive online shopping experience.Our Team consists of approximately 110 members, with over half dedicated to engineering, product, and data roles. We boast 45+ advanced degrees in disciplines such as computer science, mathematics, and operations research. With thousands of data points meticulously captured and analyzed for each parcel, we cultivate a culture of first-principles thinking, robust feedback loops, and a commitment to experimentation.Collaborate with Industry ExpertsDiego Protas – Director of EngineeringDiego specializes in distributed systems and hardware architecture, integrating physical computing with scalable enterprise infrastructure. With experience leading over 170 engineers at Mercado Libre and driving large-scale ML-based inference at Meta, Diego’s dynamic leadership at Relay is setting new benchmarks for speed and reliability.Technical EnvironmentUtilizing Python, Rust, and TypeScript to ensure we employ the best tools for our projects.Developing cross-platform Flutter applications with a focus on exceptional user experience.Operating in a cloud-native environment on GCP, leveraging BigQuery and Cloud Run.Engaging in extensive ML modeling and LLM inference as part of our daily operations.Integrating emerging technologies, including robotics and IoT functionalities.Your Role as a Software Engineer at Relay includes:Taking ownership of complex engineering challenges.

Join Relay, where we are revolutionizing the logistics landscape in the digital age. With the backing of Europe’s largest logistics Series A funding ($35M), spearheaded by forward-thinking investors like Plural, we are scaling at an unprecedented rate, outpacing 99.98% of other venture-backed startups. Our mission is to build an exceptionally talented team that will redefine the logistics industry.Our Vision: To eliminate barriers in commerce. High delivery costs currently act as a hidden burden on e-commerce, restricting what can be sold online and who can access it. We aspire to create an ecosystem where goods flow freely among people, ensuring a seamless shopping experience for everyone.About Our Team• Comprising approximately 110 professionals, over 50% of whom specialize in engineering, product, and data• 45+ advanced degrees in fields like computer science, mathematics, and operations research• Thousands of data points meticulously managed for each parcel that we handle• An intellectually stimulating culture driven by first-principles thinking, quick feedback loops, and continuous experimentation.Work with Industry InnovatorsDiego Protas – Director of EngineeringDiego possesses expertise in distributed systems and hardware architecture, integrating physical computing with large-scale enterprise infrastructure. His previous experience includes leading teams of over 170 engineers at Mercado Libre and executing extensive ML-based inference at Meta. At Relay, Diego infuses enthusiasm and hands-on guidance to set new standards in speed and reliability.Technology Stack OverviewCross-platform applications built with Flutter, emphasizing user experienceUtilizing Python, Rust, and TypeScript - we prioritize simplicity while employing the best tools availableCloud-native infrastructure on GCP featuring extensive use of BigQuery and Cloud RunRegular implementation of ML modeling and LLM inference - this is integral to our operationsInnovative tech integrations, including robotics and IoT-driven operationsYour ResponsibilitiesEngage across the full technology stack, from mobile applications to data infrastructure

Relay is revolutionizing the logistics landscape in the digital age. With a groundbreaking Series A funding round of $35 million, backed by leading deep-tech investors including Plural, Relay is outpacing 99.98% of venture-backed startups. Our mission is to build the most skilled team the logistics sector has ever seen.Our Mission is to eliminate friction in commerce. High delivery costs are an unspoken barrier to e-commerce, influencing what products can be sold online and who gets to participate. We strive for a future where goods can move freely among people, enhancing the online shopping experience for everyone.Our Team• Comprising approximately 110 professionals, with over half specializing in engineering, product, and data• Home to 45+ advanced degrees in fields such as computer science, mathematics, and operations research• We analyze thousands of data points for every parcel we manage• Our culture thrives on first-principles thinking, rapid feedback, and constant innovation.Collaborate with Industry ExpertsDiego Protas – Director of EngineeringDiego is a specialist in distributed systems and hardware architecture, blending physical computing with large-scale enterprise infrastructure. Previously, he led teams of over 170 engineers at Mercado Libre and managed extensive ML-based functions at Meta. At Relay, Diego's passionate leadership is pushing the limits of speed and reliability.Technology Stack HighlightsUtilizing Python, Rust, and TypeScript - we prioritize simplicity while selecting the right tools for the taskDeveloping cross-platform Flutter applications with a strong emphasis on user experienceOperating in a cloud-native environment on GCP, leveraging BigQuery and Cloud Run extensivelyEmploying ML modeling and LLM inference as a standard practiceIntegrating emerging technologies, including robotics and IoT-driven operationsYour RoleWork closely with enterprise clients during onboarding to ensure comprehensive technical success: integration, data quality assurance, metrics alignment, and ongoing support.

Role overview relay is hiring an Operations Manager for its London Sort Centre. This on-site role focuses on improving operational efficiency and keeping daily activities running smoothly. What you will do Lead and manage a team at the London Sort Centre Streamline processes to improve performance Support the achievement of operational targets and goals

Relay is at the forefront of transforming the logistics landscape in the digital age. With a remarkable backing of $35M from Europe's largest logistics Series A funding, led by pioneering investors like Plural, which boasts a diverse portfolio from fusion energy to space exploration, Relay is rapidly scaling, outpacing over 99.98% of venture-backed startups. We are curating an exceptionally talented team, setting a new standard within the logistics sector.Our Mission at Relay is to eliminate barriers to commerce. The current high delivery expenses serve as an invisible burden on e-commerce, influencing what products can be sold online and restricting participation. We aspire to create a future where goods flow freely among individuals, ensuring that the online shopping experience is effortless and accessible for all.Join Our Team• A dynamic team of ~110 individuals, with over half specializing in engineering, product development, and data analysis.• Over 45 advanced degrees in fields such as computer science, mathematics, and operations research.• We handle thousands of data points for each parcel, employing rigorous analysis and predictive modeling.• An intellectually stimulating environment characterized by first-principles thinking, rapid feedback loops, and constant experimentation.The OpportunityWe are seeking a Business Operations Lead—a proactive individual contributor role tailored for a hands-on operator. Reporting directly to Relay’s executive leadership, you will own high-context, cross-functional initiatives; enhance operational clarity and drive momentum; and facilitate critical decisions that may otherwise stagnate.This role emphasizes governance, reporting, and cross-team coordination, but it is fundamentally an operational position—distinct from project management. Your success will be gauged by practical execution and measurable outcomes, rather than plans, rituals, or status updates.As the Business Operations Lead at Relay, your responsibilities will include:Leading complex, cross-functional initiatives that span Delivery Squads, Commercial, Finance, and Operations. You will engage in cross-functional projects, consolidate information, and drive execution to completion.Serving as the initial point of contact for urgent, high-stakes Commercial or partner inquiries, performing root-cause analysis and delivering clear recommendations and trade-offs.Facilitating clarity in decision-making across the organization, ensuring that changes in tools and dashboards are well communicated and understood.

Join Relay in Revolutionizing Logistics!At Relay, we are fundamentally transforming the way goods are transported in the digital age. With the backing of Europe’s largest logistics Series A funding ($35M) from visionary investors like Plural—whose portfolio ranges from fusion energy to space exploration—we are growing at an unprecedented pace, surpassing 99.98% of venture-backed startups. We are building an exceptionally talented team that is setting new benchmarks in the logistics sector.Our Mission is to eliminate barriers to commerce. Currently, high delivery costs function as a hidden tax on e-commerce, dictating what can be sold online and who can engage in this space. We aspire to create a world where goods move freely among people, ensuring a seamless and accessible online shopping experience for all.The Team• A dynamic team of approximately 110 individuals, over half of whom are in engineering, product, and data roles.• Home to 45+ advanced degrees in fields such as computer science, mathematics, and operations research.• Handling thousands of data points for each parcel we manage, with extensive calculations, analyses, and predictions.• A culture that thrives on first-principles thinking, rapid feedback loops, and relentless experimentation.Your OpportunityAt Relay, our network generates data at every interaction—couriers, routes, parcels, sortation, pricing, and demand signals. This data serves as the foundation for every decision we make, especially as we increasingly integrate AI systems for autonomous decision-making.As the Head of Data Platform, you will oversee the infrastructure that transforms raw data into actionable insights. This includes managing the transformation layer (dbt), the semantic layer (Cube), the pipelines that supply them, and the standards that ensure the output is reliable. You will be tasked with ensuring data readiness for human analysts, dashboards, machine learning models, and autonomous agents.This is a pivotal leadership role where you will inherit a high-performing engine. The platform currently supports critical decision-making across all departments, backed by a robust dbt architecture and a semantic layer with strict naming conventions. Your mission is to elevate this 'V1' success into a world-class platform that remains the ultimate source of truth as our complexity scales.You will lead a team of dedicated data and analytics engineers who possess deep technical expertise and take great pride in their work. They are autonomous and have a clear vision of excellence. What they need is a leader who can...

About MoneyboxMoneybox is an award-winning financial app designed to help you transform your financial journey. We seamlessly integrate saving, investing, home-buying, and retirement planning into one user-friendly platform, empowering you to achieve your financial aspirations and build wealth, regardless of your starting point.Job OverviewJoin our Data and Insights team, where we cover a diverse range of functions including analytics engineering, reporting, insightful analysis, decision-making, data science, and machine learning. Our mission is to provide comprehensive understanding of customer behaviors, app interactions, product utilization, and priorities. This crucial role ensures that Moneybox is well-equipped to fulfill its vision of empowering customers in their financial journeys.

Relay is revolutionizing the logistics landscape in the digital age. With a remarkable backing of $35 million from Europe’s largest logistics Series A round, spearheaded by forward-thinking investors such as Plural, Relay is outpacing 99.98% of venture-backed startups. Join us in building a highly skilled team that is setting new standards in the logistics industry.At Relay, our mission is to eliminate friction in commerce. High delivery costs are an unrecognized burden on e-commerce, influencing what products can be sold online and who can engage in the space. We aspire to create a world where goods can flow freely among people, thus ensuring a seamless and inclusive online shopping experience.THE TEAM• A dynamic group of ~110 individuals, with over 50% specializing in engineering, product, and data• A collective of 45+ advanced degrees in fields such as computer science, mathematics, and operations research• We handle thousands of data points for every parcel, employing them to enhance our service• A culture that thrives on first-principles thinking, continuous feedback, and rigorous experimentation.Your RoleIn this pivotal, hands-on role, you will be entrusted with the security, reliability, and scalability of Relay’s internal technology systems.As our Internal IT & Systems Lead, you will oversee device management, onboarding and offboarding processes, internal tools, and technical support. You will implement an MDM system, maintain a comprehensive asset register, ensure robust insurance coverage, enforce security best practices (including two-factor authentication), and support ongoing compliance requirements using tools like Vanta.You will be the primary owner of internal technical services, aiming to minimize ad-hoc requests, enhance documentation and processes, and guarantee that every employee possesses the necessary tools and support to operate effectively as the company grows.Ideal CandidatesPossess extensive experience in IT operations, internal systems, or workplace technology.Demonstrate confidence in implementing and managing MDM and device compliance.Exhibit strong organizational skills and a passion for asset tracking, logistics, and documentation.Take security seriously, driving initiatives related to 2FA, training, and compliance.Possess excellent communication skills and a collaborative mindset.

About Checkout.com Checkout.com is a global payment solutions provider, trusted by brands such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company streamlines online checkout, making transactions smooth for businesses around the world. With headquarters in London and 19 offices across six continents, Checkout.com supports billions of transactions each year. The team focuses on making digital payments reliable, helping businesses grow and keeping customers satisfied. Role Overview: Senior Analytics Engineer Based in London, the Senior Analytics Engineer will drive insights into product performance and create a single source of truth for key metrics. Working closely with product managers and data scientists, this role helps shape the direction of Checkout.com's products. The position involves designing and launching new data products, with responsibility for the full lifecycle, from initial concept to implementation and ongoing operations. What You'll Do Build high-performance, reusable, and scalable data models for the data warehouse using dbt and Snowflake. Design and develop Looker structures (explores, views, and more) to enable self-service analytics across the company. Work with data analysts and business teams to understand needs and deliver analysis-ready data. Continuously discover, transform, test, deploy, and document data sources and models. Support and help define data warehouse governance, focusing on data quality, testing, documentation, coding best practices, and peer reviews. Identify ways to improve and optimize analytics engineering workflows and platforms. Location This position is based in London. Learn more about Checkout.com at Checkout.com.

Join Relay, a pioneering force in revolutionizing the logistics landscape. Fueled by Europe's largest logistics Series A funding of $35M, led by innovative investors like Plural, Relay is achieving growth rates surpassing 99.98% of venture-backed startups. We're on a mission to assemble an exceptionally talented team that sets new standards in the logistics industry.Our Vision is to eliminate barriers in commerce. High delivery costs create a hidden tax on e-commerce, determining what can be sold online and who can participate. We aspire to a future where goods move freely among people, enhancing the online shopping experience for everyone.About Our Team• A dynamic team of ~110 professionals, with over half specializing in engineering, product, and data• 45+ advanced degrees in fields such as computer science, mathematics, and operations research• We analyze thousands of data points for every parcel we manage, creating a culture of first-principles thinking, rapid feedback, and continuous experimentation.The OpportunityAs Relay's operations expand rapidly, the finance team relies on data-driven insights to guide strategic growth decisions, including expansion locations, pricing strategies, and investment opportunities. This role is crucial for managing the analytics that inform these decisions.In the role of Senior Data Analyst within the finance team, you will take charge of the dashboards and reporting systems that illuminate key metrics: cost per parcel, profitability of expansions, performance of clients and cohorts, pricing trends, and their underlying drivers. Your expertise will transform raw operational data into actionable insights for forecasting, modeling, and decision-making.You will collaborate with a centralized data team of approximately 30 data engineers, analysts, and scientists, while being integrated into the finance squad. You'll work closely with the Senior Data Scientist, enhancing visibility and reporting capabilities based on their simulation models. Additionally, you will interact with various squads, refining the metrics they contribute to create the reports that finance requires.

Join Deliveroo as a Senior Analytics Engineer and play a pivotal role in transforming data into actionable insights that enhance our services. You will collaborate with cross-functional teams to design and implement robust analytical solutions, driving strategic decisions that shape the future of food delivery.

Relay is revolutionizing the logistics landscape for the digital age. With an unprecedented funding of $35 million in Europe’s largest logistics Series A, led by pioneering investors Plural, Relay is achieving growth rates that surpass 99.98% of venture-backed companies. We are committed to building a highly skilled team that will redefine the logistics industry.Our Mission is to eliminate barriers in commerce. The current high delivery costs serve as a hidden burden on e-commerce, influencing sales potential and restricting participation. We aspire to create a reality where goods flow freely among people, ensuring a smooth and inclusive online shopping experience for all.ABOUT OUR TEAM• Comprised of approximately 110 individuals, with over half dedicated to engineering, product development, and data analysis• A diverse background with 45+ advanced degrees in fields such as computer science, mathematics, and operations research• We analyze thousands of data points for each parcel we manage• Our culture thrives on first principles thinking, continuous feedback, and a commitment to experimentationThe RoleAs a Senior Data Analyst in the New Services & Expansion team, you will steer the analytics for Relay’s growth strategies. This is an evolving domain with undefined metrics and scattered data across teams. Your role will involve determining what to measure as much as performing the measurements themselves. The expansion efforts impact all facets of the network, hence you will collaborate across routing, sortation, first mile, middle mile, last mile, marketplace, and commercial sectors to assess how new services influence the system.You will be part of a centralized data team consisting of around 30 data engineers, analysts, and scientists, while being embedded within the New Services & Expansion squad.Your ResponsibilitiesAnalyze complex datasets to derive actionable insights for strategic expansion initiatives.Collaborate with cross-functional teams to identify key performance indicators for new service offerings.Develop and maintain dashboards and visualizations to communicate findings effectively.

Relay is revolutionizing the logistics landscape in the digital age. Proudly supported by Europe's largest logistics Series A funding of $35M, spearheaded by innovative investors like Plural, who are involved in pioneering fields such as fusion energy and space exploration, Relay is experiencing rapid growth, outpacing 99.98% of all venture-backed startups. We are committed to creating a team filled with extraordinary talent, the likes of which the logistics industry has never seen.Our Mission is to eliminate friction in commerce. In the current landscape, soaring delivery costs serve as an unrecognized barrier for e-commerce, influencing what products are available online and who can engage in the market. Our vision is a world where goods flow freely among individuals, ensuring a seamless and inclusive online shopping experience for everyone.About Our Team• A diverse group of approximately 110 members, with over 50% specializing in engineering, product, and data roles.• Home to 45+ advanced degrees in fields such as computer science, mathematics, and operations research.• We analyze and predict thousands of data points for every parcel we manage.• Our culture thrives on first-principles thinking, rapid feedback loops, and a spirit of relentless innovation.Technology Stack HighlightsCloud-native infrastructure on GCP, utilizing BigQuery and Cloud Run extensively.Heavy reliance on machine learning modeling and LLM inference - this is a core part of our operations.Programming languages include Python, Rust, and TypeScript - we prioritize simplicity and choosing the right tools.Development of cross-platform Flutter applications, with a strong focus on user experience.Integration of emerging technologies, including robotics and IoT in our operations.The OpportunityAlthough we are not currently hiring for Data Science roles, we recognize that establishing a top-tier delivery system will necessitate outstanding data talent. By applying here, you will become part of our Data Science Talent Pool, and we will reach out when suitable positions become available.This is an excellent opportunity to express your interest early and maintain a connection with us as we expand.Who Thrives in This Role?A robust background in statistical modeling, machine learning, operational research, and experimentation.Curiosity and a drive for continuous learning and improvement.

About UsPerk, previously known as TravelPerk, stands as a pioneering platform for travel and expense management. Our innovative solutions are designed to eliminate the tedious, manual tasks that hinder productivity. We automate everything from travel arrangements to expense management and invoice processing, helping businesses reclaim valuable time and foster a more engaged workforce.With over 10,000 global clients, including industry leaders like Wise, On Running, and Breitling, we are committed to addressing the 7 hours of lost productivity per employee each week, a staggering $1.7 trillion issue.Founded in 2015, Perk has expanded to a diverse team of more than 1,800 employees across 12 offices worldwide, with our headquarters situated in London and Boston. Our mission is to innovate and simplify the workplace, enhancing the way businesses operate and how employees feel about their work.At Perk, our values drive us—ownership, delivering a 7-star experience, and collaboration are at our core. We champion curiosity and purpose, believing in the potential of every team member. Our talent acquisition team consists of top professionals from the travel and SaaS sectors, representing over 70 countries. If you are eager to make a significant impact and redefine the work experience for millions, we invite you to join us.Learn more about us at www.perk.com.

Recursion Pharmaceuticals combines artificial intelligence, automation, and scientific expertise to rethink drug discovery. The Senior Analytics Engineer in London connects complex chemical data with the systems that drive discovery, shaping tools and infrastructure for computational designers and medicinal chemists. This work supports informed, data-driven decisions throughout discovery programs. This position advances analytics and automates the platform, helping to close the Design-Make-Test-Learn (DMTL) loop and speed up design cycles. The role carries responsibility for the analytical ecosystem, including the Spotfire library, data schemas, and automation services. The main goal is to turn complex data into actionable insights to improve the platform and accelerate Recursion’s mission to decode biology and improve lives. What you will do Develop and maintain integrated project dashboards that align assay results with portfolio data for design teams. Code and manage repositories for Spotfire automation and BigQuery integration to streamline data flow across the discovery lifecycle. Design and refine metrics and predictive modeling workflows to guide next-best design choices and track project progress. Create automated reporting pipelines that surface critical signals, enabling teams to respond quickly to new scientific findings. Collaborate across functions to turn strategy into scalable analytical tools, using adoption metrics to prioritize impactful features. Define and evaluate metrics for product success, tool adoption, and scientific impact, helping teams focus on priorities that accelerate drug discovery. Identify opportunities for innovation in analytics maturity and implement solutions that modernize data interactions for scientists. Contribute to the development of advanced analytical methods and tools to strengthen overall analytical capabilities.

ClearScore Technology Limited is hiring a Senior Analytics Engineer in London. This position centers on developing and refining data products that influence company decisions and enhance the experience for users. Key responsibilities Design and build analytical models and reporting tools in partnership with engineering and other teams. Translate business requirements into effective data solutions that align with company objectives. Apply analytics to deliver insights that inform product and business strategies. Recommend improvements to user experience based on data-driven analysis. Collaboration and impact This role works closely with cross-functional teams throughout ClearScore. The work done here directly shapes company direction and the way users are served.

Join Zopa as a Senior Analytics Engineer and play a pivotal role in leveraging data to drive strategic decisions. You will collaborate with cross-functional teams to design and implement data solutions that enhance our analytics capabilities. If you are passionate about data engineering and possess a strong analytical mindset, this is the perfect opportunity for you.

Relay is revolutionizing the logistics landscape. With the backing of Europe’s largest logistics Series A funding of $35M, spearheaded by innovative deep-tech investors Plural, Relay is outpacing 99.98% of venture-backed startups. We are curating a highly skilled team that is setting new benchmarks in the logistics industry.Our Mission at Relay is to eliminate friction in commerce. We recognize that exorbitant delivery costs serve as a hidden barrier to e-commerce, limiting market participation and product offerings online. Our vision is to create a world where goods can traverse boundaries with ease, enhancing accessibility and convenience for all consumers.About Our Team• A dynamic group of approximately 110 professionals, with over 50% specializing in engineering, product development, and data science.• Our team boasts 45+ advanced degrees in disciplines including computer science, mathematics, and operations research.• We manage thousands of data points for each parcel we handle, harnessing analytics for informed decision-making.• Our culture thrives on first-principles thinking, rapid feedback cycles, and a commitment to continuous experimentation.Role OverviewAs a Senior Data Scientist within the Network squad, you will play a pivotal role in enhancing our forecasting engine, which is essential for operational efficiency. Your contributions will directly influence critical decisions across multiple teams at Relay. You will collaborate with fellow Data Scientists and Analysts, leveraging diverse expertise to tackle challenges in demand forecasting, expansion modeling, parcel intelligence, and sortation predictions. Your specific domain focus will align with your strengths and the squad's priorities.Your responsibilities may include developing models that guide Relay's expansion strategies, determining optimal new locations, forecasting parcel dimensions for effective routing and logistics, and refining our operational models to ensure cost efficiency across the network.

Join Zoopla as a Senior Analytics Engineer and play a pivotal role in driving data-driven decisions across our innovative team. You will leverage your expertise in analytics, data modeling, and visualization to enhance our product features and improve user experience. Your contributions will directly impact how we serve millions of customers seeking their perfect home.