Lead Data Scientist
Cazoo is hiring a Lead Data Scientist. Level rates it ; you can apply on Cazoo.
Level's read on this job
- On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include scikit-learn, XGBoost and Databricks.
- Level classifies it as a lead role.
- Level lists 6 other open roles at Cazoo.
- The role was posted within the past week.
AI in this role
Lead data scientist establishing the data science function, building and productionizing ML models for pricing, churn, and recommendations.
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.
At 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!
We are looking for Lead Data Scientist
Reports To: Director of Data
Contract Type: Permanent
Location: Richmond UK, Hybrid
The Role
Reporting 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.
This 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.
You 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.
As the function grows, you'll help hire, develop and mentor Data Scientists, beginning with a planned mid-level hire.
If 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.
Establish Data Science at Cazoo
Define the Data Science operating model, from identifying and sizing opportunities through to model development, deployment, monitoring and measuring business value.
Set technical standards for code quality, reproducibility, model governance and explainability across the wider data function.
Work with Data Leadership to own and prioritise the data-science roadmap, aligned to Cazoo’s commercial goals and focused on measurable value.
Shape ML tooling on Databricks alongside Data Engineering & ML Ops, including feature pipelines, experiment tracking, deployment and monitoring.
Prove the value, every time
Frame every model around a measurable hypothesis, using holdouts, uplift and control groups to demonstrate commercial impact for Cazoo and its dealers.
Contribute to business-wide quarterly OKR planning, ensuring Data Science initiatives have clear hypotheses, measurement frameworks and expected value.
Balance rigour with practicality, choosing the simplest reliable model that delivers measurable results.
Be the Data Science partner the business needs
Keep dealers at the centre, building data products that help them sell stock faster, improve pricing and generate higher-quality leads.
Partner with Commercial, Account Management, Finance, Product and Marketing to turn model outputs into actionable business decisions.
Work closely with the Analytics CoE to inform model development and embed outputs into dealer reviews and commercial playbooks.
Mentor Analysts in statistical and machine-learning methods, raising Data Science capability across the business.
Represent Data Science at sprint playbacks and Leadership Team reviews.
Our Values
Everything we do at Cazoo is shaped by three values that guide how we work and collaborate.
Fearless We challenge the status quo, take initiative and learn through action rather than waiting for permission.
Dynamic We adapt quickly, make smart decisions and keep moving, even when the path isn't fully mapped out.
Better Together We share knowledge, build strong relationships and hold ourselves and each other accountable.
What we're ideally looking for
Essential
Demonstrable 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.
Hands-on experience in at least two of: churn/retention propensity, Customer Lifetime Value, pricing optimisation, demand forecasting, lead scoring or recommendation systems.
Strong Python for machine learning (scikit-learn, XGBoost/LightGBM, pandas and statistical libraries), with clean, tested and version-controlled code.
Advanced SQL and experience with large-scale cloud data platforms such as Databricks or BigQuery.
Experience productionising ML models, including feature pipelines, experiment tracking, deployment, monitoring and retraining, working alongside Data or ML Engineers.
Understanding of model explainability and governance, including SHAP or equivalent, documented assumptions and model limitations.
Strong statistical and experimental skills, including A/B testing, holdouts, uplift measurement and causal inference.
Proven ability to turn models into commercial decisions, with measurable business outcomes.
Strong stakeholder management, able to prioritise opportunities, challenge constructively and communicate complex methods clearly.
A self-starter comfortable working in an evolving environment without fully established processes or platforms.
Highly Desirable
Automotive, used-car, classifieds or dealer-network experience, including B2B marketplace dynamics.
Databricks and dbt experience, including Spark for large-scale feature engineering.
Experience delivering explainable models through a CRM such as Salesforce.
Marketplace pricing, dynamic pricing or price-index development.
Exposure to LLMs and generative AI, with an understanding of where they add genuine value.
Experience mentoring or managing Data Scientists, or establishing a Data Science function.
Power BI or equivalent for surfacing model outputs to business users.
Perks & Benefits
Here’s how we back you:
Financials 💰
We 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.
Quarterly value-led awards with generous cash prizes.
Referral Bonus: Recommend a colleague, get £2,000.
Work-Life 🏖️
25 days (plus bank holidays)
Hybrid role, two days a week based in our Richmond office
Family Enhanced leave after 6 months of service:
Maternity/Pregnant Parent Leave: 20 weeks at 100% pay,.
Paternity/Non-birth Parent Leave: 12 weeks at 100% pay.
Volunteer Days: We offer 2 volunteer days a year so you can help out wherever matters to you.
Health & Peace of Mind 🏩
Comprehensive cover so you (and your favourite people) have the care you need.
AXA Private Healthcare: High-level coverage for you, partners, and dependents—including pre-existing conditions.
Bupa Dental: Level 2 coverage for cashback on preventative, restorative and emergency care.
Private GP: 24/7 digital access via Help@Hand.
Income Protection: 13 weeks of sick pay, before going onto Long term Illness cover with Canada Life
Life Assurance: 4x basic salary covered by Unum.
Specialist Support: Free counseling and menopause/fertility support via Peppy.
Your Growth 🌱
We hired you for your talent, and we’re committed to helping you expand it.
Learning budget and continuous development opportunities. Every manager has a dedicated budget for your specific role development.
The Extras 🔍
Company issued laptop.
Perks@Work: Discounts at over 30,000 retailers and entertainment venues.
Annual conference with top tier industry guest speakers. Past guests include names like Matthew Syed and Damian Hughes.
Whether 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.
Free food & drinks in the office.
We’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.
Diversity & Inclusion at Cazoo
The 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. Be yourself.
How we rate this
Lead Data Scientist at Cazoo rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $167k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where mlops was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, Machine learning, MLOps, Data Science, and Predictive Modeling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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