About HIVED

At HIVED, were steamrolling forward as one of Europes fastest growing startups, and our momentum shows no signs of slowing.Based in London, we are a climate and logistics start-up building the first sustainable parcel delivery network at scale, powered by a 100% electric fleet. In an ever-growing industry where unreliable service has long been the norm, HIVED has been built from the ground-up to meet the demands of modern consumers and disrupt parcel delivery.A tech company at heart, our talent and technology is laser-focused on delivering the best possible delivery experience for end-customers and meeting the needs of our retail partners. From our drivers to our data engineers, we are constantly working to improve this customer experience that makes us deliver better.Already trusted by leading international brands such as John Lewis, Nespresso, Uniqlo, HandM brands and more, we are solidifying our position as the leaders in Europe to tackle this growing market.

Our tight-knit team is made up of ex-Revolut, Bain, HelloFresh, ASOS, Apple and Google employees, and we are backed by some of Europes leading investors and VCs in climate-tech, logistics and mobility including

Planet A Ventures

,

Maersk Growth

,

Pale Blue Dot VC

,

Eka Ventures

and the British government. Were passionate about driving innovation and redefining the future of delivery.

Role OverviewWe are looking for an experienced and ambitious

Senior Data Scientist

to join our team. Our ideal future colleague loves diving deeply into complex logistics challenges, real-world problems and pushing the envelope of whats possible. They get excited as much about creating tangible business impact and improving the delivery experience of millions of recipients and delivery drivers as they enjoy evaluating and crafting just the right ML model for their use case.Data at HIVEDWe believe in staying ahead and creating a competitive edge through intelligent use of data in an industry that has been stuck in its ways for too long. Thats why we empower our Data team and embed them in product-centered, cross-functional squads for meaningful business context and encourage taking the initiative for impactful projects from day one. We hone our craft and grow our skills as data professionals through functional reporting lines and regular catch-ups as well as knowledge sharing sessions across the Data and wider HIVEDmind organisation (Tech + Data + Product).

Your day-to-dayYour day-to-day activities will range from ideating novel solutions to business problems with your squad and fellow business users, to creating meaningful experiments and developing, deploying, monitoring and maintaining machine learning models that move the needle.You will work alongside data analysts, dataengineers, routing and backend engineers and product managers to develop meaningful products and bring your solutions to live. Wherever you see an opportunity, you will contribute to developing and growing our machine learning platform through selecting the right tooling, setting standards and defining best practices.What you might work on:Routing and ETA calculations: improving our model of the real world to power our daily deliveries, creating reliable recipient experiences and increasing operational resilienceAddress intelligence: solving the most complex challenge in the life of a delivery driver reliably locating the exact delivery location and navigating the last meter efficientlyParcel volume forecasting and shift scheduling optimisationNational expansion modelling and optimising our physical network structureResponsibilitiesTake initiative and translate business context and problem statements into impactful data solutionsDevelop powerful machine learning models, analyses and experimentsCollaborate with fellow squad members to deploy your solutions and monitor their performance and impactEvolve our ML and data platform, select the right tooling and set standards for a growing teamYour profile4+ years of experience in a similar data science or analytics roleDegree with strong statistical/ mathematical component (e.g. Maths, Statistics, Data Science, Artificial Intelligence, Operations Research or equivalent)Proven track record of delivering high-impact machine learning models and developing algorithms that solve real-world challengesExperience programming in Python, SQL and using ML platforms and frameworks such as Sagemaker, MLflow, Seldon Core or similarPrior experience or interest in working with geospatial dataTechnologies we useProgramming languages: SQL, Python, LookML, (+ Go for other backend services)Development tools and frameworks: dbt, dagster, Airbyte, dlt, data-diff, ElementaryData lake and warehouse: GCS, BigQueryAnalytics: Looker, Looker Studio and geospatial analytics toolsHow we reward our team

Dynamic working environment with a diverse and driven teamHuge opportunity for learning in a high-growth environment, with progression opportunities based on success in the role25 days of holiday allowance plus public holidaysWellbeing initiatives, including three wellbeing days in addition to holiday allowanceWeekly team lunch and regular company socialsMacBook Air or Windows Laptop (depending on your preference)Hybrid working set-up with in-person time expected at our Shoreditch officeEnhanced maternity/paternity/adoption policy#J-18808-Ljbffr