{"id":4096300,"url":"https://alion.io/job/cazoo-lead-data-scientist","title":"Lead Data Scientist","company":{"id":449710,"name":"Cazoo","domain":"cazoo.co.uk","url":"https://alion.io/company/cazoo","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Richmond, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Databricks","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SHAP","optional":false},{"name":"SQL","optional":false},{"name":"XGBoost","optional":false},{"name":"dbt","optional":true},{"name":"Power BI","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-11T11:39:37Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T21:08:05Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Cazoo, is the ultimate destination for car enthusiasts and buyers alike! As a leader in the market, we pride ourselves on providing unparalleled search tools, expert car guides, insightful reviews, and a comprehensive vehicle price guide. Our mission is simple: to empower buyers to find their perfect car efficiently and with confidence, while also helping automotive retailers reach millions of eager buyers.\nAt Cazoo, you'll be part of a team that's revolutionising the way people buy and sell cars. If you're ready to drive your career forward in a dynamic, fast-paced environment, Cazoo is the place for you. Join us and be a part of shaping the future of automotive retail!\nWe are looking for Lead Data Scientist\nReports To: Director of Data\nContract Type: Permanent\nLocation: Richmond UK, Hybrid\nThe Role\nReporting into the Director for Data, this is Cazoo’s inaugural Data Science role: a senior, hands-on individual contributor who will establish Data Science as a discipline, set its standards and deliver its first production models, with the opportunity to grow the team over time.\nThis is not a research role. You will work alongside Data Engineering & ML Ops to productionise models, using our evolving Databricks platform, and partner with Analytics and BI to ensure outputs drive commercial decisions.\nYou will own the data-science roadmap, prioritising opportunities such as dealer churn propensity, Customer Lifetime Value, vehicle pricing, stock recommendations, buying propensity and Next Best Action, alongside Marketing Attribution and Marketing Mix Modelling.\nAs the function grows, you'll help hire, develop and mentor Data Scientists, beginning with a planned mid-level hire.\nIf you'd rather ship a well-understood model today than a perfect one next year, and are as comfortable explaining a propensity score to an Account Manager as you are tuning it, you'll feel right at home.\nEstablish Data Science at Cazoo\nDefine the Data Science operating model, from identifying and sizing opportunities through to model development, deployment, monitoring and measuring business value.\n\nSet technical standards for code quality, reproducibility, model governance and explainability across the wider data function.\n\nWork with Data Leadership to own and prioritise the data-science roadmap, aligned to Cazoo’s commercial goals and focused on measurable value.\n\nShape ML tooling on Databricks alongside Data Engineering & ML Ops, including feature pipelines, experiment tracking, deployment and monitoring.\n\nProve the value, every time\nFrame every model around a measurable hypothesis, using holdouts, uplift and control groups to demonstrate commercial impact for Cazoo and its dealers.\n\nContribute to business-wide quarterly OKR planning, ensuring Data Science initiatives have clear hypotheses, measurement frameworks and expected value.\n\nBalance rigour with practicality, choosing the simplest reliable model that delivers measurable results.\n\nBe the Data Science partner the business needs\nKeep dealers at the centre, building data products that help them sell stock faster, improve pricing and generate higher-quality leads.\n\nPartner with Commercial, Account Management, Finance, Product and Marketing to turn model outputs into actionable business decisions.\n\nWork closely with the Analytics CoE to inform model development and embed outputs into dealer reviews and commercial playbooks.\n\nMentor Analysts in statistical and machine-learning methods, raising Data Science capability across the business.\n\nRepresent Data Science at sprint playbacks and Leadership Team reviews.\n\nOur Values\nEverything we do at Cazoo is shaped by three values that guide how we work and collaborate.\nFearless We challenge the status quo, take initiative and learn through action rather than waiting for permission.\nDynamic We adapt quickly, make smart decisions and keep moving, even when the path isn't fully mapped out.\nBetter Together We share knowledge, build strong relationships and hold ourselves and each other accountable.\nWhat we're ideally looking for\nEssential\nDemonstrable experience as a Data Scientist, including time at Senior or Lead level, in a commercial, B2B, marketplace or e-commerce environment, with models taken from idea to production and measurable business impact.\n\nHands-on experience in at least two of: churn/retention propensity, Customer Lifetime Value, pricing optimisation, demand forecasting, lead scoring or recommendation systems.\n\nStrong Python for machine learning (scikit-learn, XGBoost/LightGBM, pandas and statistical libraries), with clean, tested and version-controlled code.\n\nAdvanced SQL and experience with large-scale cloud data platforms such as Databricks or BigQuery.\n\nExperience productionising ML models, including feature pipelines, experiment tracking, deployment, monitoring and retraining, working alongside Data or ML Engineers.\n\nUnderstanding of model explainability and governance, including SHAP or equivalent, documented assumptions and model limitations.\n\nStrong statistical and experimental skills, including A/B testing, holdouts, uplift measurement and causal inference.\n\nProven ability to turn models into commercial decisions, with measurable business outcomes.\n\nStrong stakeholder management, able to prioritise opportunities, challenge constructively and communicate complex methods clearly.\n\nA self-starter comfortable working in an evolving environment without fully established processes or platforms.\n\nHighly Desirable\nAutomotive, used-car, classifieds or dealer-network experience, including B2B marketplace dynamics.\n\nDatabricks and dbt experience, including Spark for large-scale feature engineering.\n\nExperience delivering explainable models through a CRM such as Salesforce.\n\nMarketplace pricing, dynamic pricing or price-index development.\n\nExposure to LLMs and generative AI, with an understanding of where they add genuine value.\n\nExperience mentoring or managing Data Scientists, or establishing a Data Science function.\n\nPower BI or equivalent for surfacing model outputs to business users.\n\nPerks & Benefits\nHere’s how we back you:\nFinancials\nWe more than match your commitment to your pension, so when you contribute 6% , we put in 9%, taking your total up to 15% of your base salary.\n\nQuarterly value-led awards with generous cash prizes.\n\nReferral Bonus: Recommend a colleague, get £2,000.\n\nWork-Life\n25 days (plus bank holidays)\n\nHybrid role, two days a week based in our Richmond office\n\nFamily Enhanced leave after 6 months of service:\n\nMaternity/Pregnant Parent Leave: 20 weeks at 100% pay,.\n\nPaternity/Non-birth Parent Leave: 12 weeks at 100% pay.\n\nVolunteer Days: We offer 2 volunteer days a year so you can help out wherever matters to you.\n\nHealth & Peace of Mind\nComprehensive cover so you (and your favourite people) have the care you need.\nAXA Private Healthcare: High-level coverage for you, partners, and dependents-including pre-existing conditions.\n\nBupa Dental: Level 2 coverage for cashback on preventative, restorative and emergency care.\n\nPrivate GP: 24/7 digital access via Help@Hand.\n\nIncome Protection: 13 weeks of sick pay, before going onto Long term Illness cover with Canada Life\n\nLife Assurance: 4x basic salary covered by Unum.\n\nSpecialist Support: Free counseling and menopause/fertility support via Peppy.\n\nYour Growth\nWe hired you for your talent, and we’re committed to helping you expand it.\nLearning budget and continuous development opportunities. Every manager has a dedicated budget for your specific role development.\n\nThe Extras\nCompany issued laptop.\n\nPerks@Work: Discounts at over 30,000 retailers and entertainment venues.\n\nAnnual conference with top tier industry guest speakers. Past guests include names like Matthew Syed and Damian Hughes.\n\nWhether it’s our Summer bash or the annual festive party, we make sure we take the time to bring everyone together and celebrate in style.\n\nFree food & drinks in the office.\n\nWe’re proud partners of Brentford FC, and we share the rewards with you. From tickets to matches to the bucket-list opportunity to actually play on the pitch yourself, we bring you closer to the action.\n\nDiversity & Inclusion at Cazoo\nThe best ideas come from people with different backgrounds, experiences and ways of thinking. At Cazoo we are a place where people feel comfortable speaking up, contributing and growing. Bring your perspective. Bring your experience. 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