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 modeland optimise Relay’s end-to-end network. This role spans acrossdomains, touching forecasting, operations, and commercial planning,and is ideal for someone who thrives on applying models inambiguous, real-world environments. You’ll work with squads acrossrouting, sortation, first mile, middle mile, last mile,marketplace, and commercial functions to help forecast demand, planresources, and drive sustainable growth. You’ll also bring togetherdata from across the business, often fragmented or messy, and usesmart tooling, automation, and AI to transform it into usableinsight. You’ll need to be hands-on and pragmatic; it’s ahigh-impact role with strong exposure to leadership anddecision-making across the business. What you’ll do - Design,prototype, and deploy models to support demand forecasting,resource planning, and strategic decision-making - Build and ownfinancial and operational models that help simulate trade-offsacross the Relay network - In partnership with MLE and our StaffNetwork Data Scientist, orchestrate and automate model pipelines inproduction, making sure our tools scale as we grow - Collaboratewith analysts, engineers, and product managers to embed models intodecision processes and tooling - Leverage AI and programmatictechniques to extract structure from messy or ambiguous data sets -Translate business questions into analytical problems andanalytical results into actionable recommendations - Act as athought partner for commercial, operations, and finance leads —bringing a scientific lens to planning and growth questions 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 - Experience with forecasting,scenario modelling, and financial modelling (including partneringwith Finance and Commercial teams and their models (in Excel,Google Sheets)) - Effective communication skills — you can explaintechnical results clearly to non-technical audiences - Comfortableworking across functions and disciplines to drive impact Nice tohaves - Experience working in logistics, marketplaces, or similarlycomplex operational businesses - Experience using LLMs or AI toolsto structure and extract meaning from unstructured data -Experience automating workflows and deploying model pipelines (e.g.Airflow, dbt, MLFlow, or similar) - Exposure to business planning,pricing, or commercial decision-making - Familiarity withgeospatial data - Experience in fast-scaling startups oroperational teams We're flexible on experience - if you’re anexperienced and pragmatic data scientist, with a track record ofdriving impact, we’d love to hear from you. What we offer - 25 daysannual leave per year (plus bank holidays). - Equity package. -Bupa Global: Business Premier Health Plan - Comprehensive globalhealth insurance with direct access to specialists, dental care,mental health support and more. - Contributory pension scheme. -Hybrid working - Free membership of the gym in our co-working spacein London. - Cycle-to-work scheme - A culture of learning andgrowth, where you're encouraged to take ownership from day one. -Plenty of team socials and events - from pottery painting tolife-size Monopoly and escape rooms #J-18808-Ljbffr
