Senior Data Scientist - Middle Mile & Pitstops

Company mission In the future, almost everything weconsume will simply materialise on our doorsteps – what we call“e-commerce” today will simply be “commerce” tomorrow. But if wecontinue on today’s trajectory, the growth of e-commerce risksdamaging the environment, alienating our communities, and strainingthe bottom-line for small businesses. Relay is an e-commerce-nativelogistics network. We are built from the ground up forenvironmental, social, and economic sustainability. By buildingfrom the ground up we are able to entirely rethink both the middleand last mile enabling us to reduce the number of miles driven todeliver each parcel, lower carbon emissions, and lower costs, allwhile channelling funds to community members. At the same time,we’re fixing the last broken aspect of e-commerce for consumers:delivery. As shoppers, we should have complete control over whenand how we receive our purchases, and we should be able to returnunwanted items as easily as we ordered them. That’s why wheneveryou buy from a merchant powered by Relay, you’ll be able toreschedule your delivery at any time. And if you don’t like whatyou ordered, at the tap of a button we’ll send someone to pick itup. To orchestrate this complex ballet, Relay relies on a widerange of technologies, from advanced routing and planning tosophisticated user experiences that guide our team members on theground. About the role As a highly operational business, we rely ondata science to power nearly every part of our network — fromforecasting parcel volumes, to pricing and planning couriercapacity, to understanding and improving the economics of ouroperation. We’re hiring a Senior Data Scientist to help us optimiseour middle mile operation and model the growth, performance, andeconomics of our pitstop network. This role spans across domains,touching forecasting, operations, and commercial planning, and isideal for someone who thrives on applying models in ambiguous,real-world environments. You’ll work with squads across routing,sortation, first mile, last mile, marketplace, and commercialfunctions; you’ll focus on middle mile optimisation, pitstopexpansion, and understanding the long-term financial value of ourphysical network. You’ll also bring together data from across thebusiness, often fragmented or messy, and use smart tooling,automation, and AI to transform it into usable insight. You’ll needto be hands-on and pragmatic; it’s a high-impact role with strongexposure to leadership and decision-making across the business.What you’ll do - Model and improve the cost, quality, andefficiency of middle mile operations, including vehicle use,timings, and handover reliability - Partner with marketplace andops teams to optimise driver acquisition, targeting, and pricingfor the middle mile - Optimise pitstop expansion in line withvolume growth, capacity, and service levels - Model pitstop-levelLTV and unit economics to support capital investment andperformance tracking - Collaborate with other data scientists tosupport geo-sequencing, zone design, and integration with routingmodels - In partnership with MLE and Staff Data Scientists,orchestrate and automate model pipelines in production - Act as athought partner for operations, commercial, and finance leads —bringing a scientific lens to planning and network growth Whatwe’re looking for - 6+ years of experience in data science, with astrong record of delivering models into production - Deepexperience with Python and SQL - Strong foundations in statisticsand probability, with experience applying them in operationaland/or financial contexts - Comfort working in ambiguity andnavigating messy or incomplete data - Effective communicationskills — you can explain technical results clearly to non-technicalaudiences - Comfort working across functions and disciplines todrive impact Nice to haves - Experience working in logistics,marketplaces, or similarly complex operational businesses -Exposure to business planning, pricing, or commercialdecision-making; experience with forecasting, scenario, andfinancial modelling (including partnering with Finance andCommercial teams and their models (in Excel, Google Sheets)) -Familiarity with geospatial data - Experience in fast-scalingstartups or operational teams We're flexible on experience – ifyou’re an experienced and pragmatic data scientist, with a trackrecord of driving impact, we’d love to hear from you. What we offer- 25 days annual leave per year (plus bank holidays). - Equitypackage. - Bupa Global: Business Premier Health Plan -Comprehensive global health insurance with direct access tospecialists, dental care, mental health support and more. -Contributory pension scheme. - Hybrid working - Free membership ofthe gym in our co-working space in London. - Cycle-to-work scheme -A culture of learning and growth, where you're encouraged to takeownership from day one. - Plenty of team socials and events - frompottery painting to life-size Monopoly and escape rooms#J-18808-Ljbffr