About Motorway
Motorway is the UK’s fastest-growing used car marketplace – our award winning, online-only platform connects private car sellers with over 7,500 verified dealers nationwide, who compete to offer the best price. Founded in 2017, our technology makes the process refreshingly easy, earning us an 'Excellent' Trustpilot rating with over 70,000 reviews. We're not just building a platform; we're changing how people sell cars.
Backed by leading investors like Index Ventures and ICONIQ Growth, and following a successful $190 million funding round, we're on a mission to transform the used car market.
About The Team
The Marketplace team's right at the heart of Motorway’s growth, making our online car auction platform the best it can be. We're not just about tech; we’re about creating a smooth, enjoyable experience for car sellers and dealers alike. We’re unique because we have a direct impact on Motorway’s success. We use data to shape auction strategies, improve user experience, and drive growth. If you’re passionate about data science and want your work to make a real difference, this is your team.
About The Role
As our Senior Data Scientist, you’ll be a key player in:
- Developing cutting-edge predictive models: You’ll build models to optimise auctions, predict outcomes, and help consumers bid smarter.
- Uncovering insights from data: You’ll dive deep into our data, spot trends and patterns, and turn them into actionable strategies.
- Collaborating to bring new products to life: You’ll work closely with analysts, engineers, and product teams to design, test, and launch new features.
- Ensuring fair play: You’ll contribute to solutions that encourage positive behaviour and keep our auctions fair.
- Exploring new possibilities: You’ll research and evaluate different auction formats and strategies to maximise efficiency and revenue.
- Sharing your knowledge: You’ll clearly explain complex technical concepts to everyone.
About You
We welcome applications from all backgrounds, but here’s what you’ll likely bring:
- A Master’s or Ph.D. in Data Science, Computer Science, Maths, Physical Sciences, Economics, or similar.
- Proven expertise in data science and machine learning, with a track record of building and deploying models.
- Strong Python skills and experience with libraries like pandas, scikit-learn, stan, pyro, matplotlib, and plotly.
- The ability to choose the right machine learning model (linear/logistic regression, RFs, xgboost, NNs, etc.). Experience with calibrated probabilistic models is a plus!
- Experience with MLOps and software engineering best practices, including git, CI/CD, testing, and releasing.
- A knack for working with large datasets and cloud platforms like AWS or GCP.
- Proficiency in SQL and experience with data pipelining and warehousing. BigQuery and dbt experience is a bonus.
- Ideally, experience with econometrics, Bayesian ML, causal inference, and/or auction theory.
- A natural problem-solver with sharp analytical and critical thinking skills.
- You communicate effectively and collaborate well, explaining technical stuff clearly.
You could be a great fit if
- You’re excited by the challenge of using data to optimise a marketplace.
- You have experience in the automotive or e-commerce industry.
- You’re familiar with A/B testing and experimentation.
- You’re a creative thinker who can come up with innovative solutions.
- You’re passionate about staying at the forefront of data science and machine learning.
- You’re interested in auction dynamics and behavioural economics.
Our interview process
- Initial Screen with Talent Team - 30 minutes
- Hiring Manager Interview - 45 minutes
- Skills Assessment - 60 minutes
- Exec Interview - 60 minutes
We’ll aim to get back to you within a week of each stage. A talent partner will be there to answer any questions or help with accommodations.
