Data Science Manager

Data Science Manager 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 decisions. Where to send couriers. How to price a route. When to expand into a new area. Behind each of those decisions is a model, and behind each model is a data scientist who built it, tested it, and shipped it to production. As Data Science Manager, you will lead a team of six data scientists working across some of the most interesting problems in logistics: last-mile marketplace dynamics, courier performance and retention, route length estimation, network simulation, and telematics. These are production systems that shape how the network operates every day, and small improvements have fast and meaningful impact. This is a new role. Relay's data team has grown quickly and the DS team has been operating without support to deliver initial models core to Relay's operation and growth. This role exists to set direction and prioritise across domains, support execution and innovation, and develop the team. You will also shape how Data Science works as a function: setting up cross-team forums, establishing ways of working, and defining the culture. This role reports to the Director of Data. What You'll Do - Lead, grow and develop a team of data scientists across multiple domains - Set technical direction and quality standards for data science at Relay - With the support of the data science team, define and deliver the data science roadmap - Partner Data Science with Product, Engineering, and Operations to deliver improvement across the network - Shape the Data Science function, structure and culture as we scale Who Will Thrive in This Role? - You have experience working as a data scientist - You have experience leading a team - You enjoy setting a team up for success - You enjoy bringing structure to problems and environments - You enjoy seeing the impact of your work - You are committed to delivering results for your team, and the business - You care about the people using and operating the systems your team builds: couriers, retailers, operatives, teammates, and consumers Fast and Focused Hiring Process 1. Talent Acquisition Interview - 30 min 2. Hiring Manager Interview - 45 min 3. Case Study - 1 hour 4. Values & Impact Interview - 1 hour 5. Decision and offer within 48 hours. Our process mirrors our pace of work. Compensation, Benefits & Workplace - Generous equity, richer than 99% of European startups, with annual top-ups to share Relay’s success. - Private health & dental coverage, so comprehensive you’d need to be a partner at a Magic Circle law firm to match it. - 25 days of holidays - Enhanced parental leave. - Hardware of your choice. - Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). - Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We ... (truncated, view full listing at source)