Data Science Lead

About EucWe're making good health last a lifetimeMore than 1 billion people globally live with obesity, a significant leading indicator of many preventable chronic diseases such as diabetes and heart disease.Eucalyptus is the company behind Juniper, one of the world's largest weight management programs combining GLP-1 medication with a tailored nutrition and exercise programme, supported by our multidisciplinary care team of prescribers, health coaches, dietitians, nurses and pharmacists.Our published clinical research demonstrates that our combined approach to weight management and lifestyle change increases the likelihood of our patients losing significant weight during their treatment with Juniper by four times.Since launching, we've grown fast to support millions of patients. In the last 12 months:We grew the size of our patient base by 10x in the UK, received selective NICE endorsement for our holistic approach to obesity management, and grew our team from 50 to 200.Globally, we grew revenue by >120% YoY, while reducing cash burned by 90% YoY, with over $100M USD raised from global investors such as BOND, NewView, Blackbird and Airtree - early backers of companies like Canva, Stripe, Uber and Airbnb.What's next?In 2025, we are charting the path to support hundreds of thousands of patients while launching into new conditions, demographics, and geographies as we move towards our vision of creating a preventive healthcare ecosystem.We're building the world's largest international digital healthcare company. This will be highly challenging, very rewarding and the adventure of a lifetime, working with the best operators you will ever encounter.If that gets you excited, let's talkAbout The RoleWe're hiring aData Science Leadto build and lead acommercial & transactional data science squadin the UK.RoleThis role sits at the intersection ofproduct, data science, and engineering, with a primary focus on designing and deliveringrecommendationsthat drive:Product discovery and cross-sell (OTC, programs, prescriptions)Personalised patient experiencesCommercial outcomes that align with patient valueThis is ahands-on rolewith early people leadership responsibilities. You'll be responsible for shaping the technical direction of the squad, delivering models into production, and working closely with product and engineering partners to ensure real-world impact.What You'll DoIn this role, you'll balance technical leadership and hands-on delivery — setting the vision for how data science is applied to our commercial ecosystem in the business. You'll ensure the team's work is impactful, reliable, and aligned with organisational priorities.Build and lead a small data science squad focused on transactional and commercial recommendation systems across OTC products, structured programs, and prescription cross-sell.Design, experiment with, and iterate on recommendation models, starting with lightweight heuristics to get early signal and scaling sophistication where clear upside exists.Translate product and commercial goals into concrete data science roadmaps, aligning experimentation, feature development, and delivery timelines.Partner closely with product and engineering teams, influencing technical direction without being prescriptive and ensuring solutions are practical, scalable, and valuable to patients.Support production-ready data science, including feature definition, evaluation design, model handover, monitoring, and iteration in collaboration with ML and data engineering.Set technical standards and best practices for experimentation, model evaluation, and deployment within the squad.About You (Who You Are)We're looking for someone who isstrong technically,commercially minded, andcomfortable operating in ambiguity.You Likely Have8+ years' experience in data science, applied ML, or advanced analytics including prior experience leading either technically or direct people managementExperience building and iterating on recommendation, ranking, or personalisation systemsStrong foundations in statistics, machine learning, feature engineering, and model evaluationHands-on experience with Python, SQL, and modern ML librariesExposure to production ML environments and collaboration with ML / data engineering teamsThe ability to clearly communicate technical ideas to product and non-technical stakeholdersAn opinionated but pragmatic approach to how data science should be built and deployedPrior people leadership experience is a plus, but not required — stepping intosquad-level leadershipwhile remaining deeply technical.Why you should join EucMake real impact, fast - We build in the open together, which helps us learn and iterate more quickly so we can deliver high quality outcomes faster than anyone else. Helping impact patients lives for the better from the moment you join Euc.You'll be supported to accelerate your career - Regular feedback alongside our bi-annual performance reviews, a professional development budget & leave help ensure you have the support you need to level up. We're committed to helping every Eucalypt reach their full potential.You'll work with others who are incredibly passionate about what they do - Our talent bar is high and our work ethic is strong. You'll get to stretch yourself everyday, be given autonomy to tackle interesting problems, and work amongst people who care deeply about our patients.We also offer a range of benefits includingYour own stake in the business with our employee options programNewly opened HQ in vibrant Old Street, designed for focus and collaborationA flexible hybrid setup: 3 days a week in our Old Street officeA monthly wellness allowance, for you to spend on whatever wellness means to youA yearly personal development budget and 3 extra days of leave to continuously up-skill yourself25 days holiday + bank holidays with an enhanced parental leave policyA fun office with regular socials including after school sport, clubs, cycle kick offs and seasonal partiesWant to hear more about what it's like to work at Eucalyptus? Hear from our team here or check us out on Instagram At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process.