About Motorway
Motorway is the UK’s fastest-growing used car marketplace – our award winning, online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our technology-led approach has redefined the experience of selling a car, generating thousands of monthly car sales and helping us to grow to a team of over 400 across 4 locations. We are now valued at over £1 billion and is backed by some of the world’s leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better. About the team
The Marketplace team is at the heart of Motorway's growth, focused on making our online car auction platform the best it can be. We're not just about the tech; we're about creating a smooth and enjoyable experience for both car sellers and dealers. Our team is unique because we have a direct impact on Motorway's success. We use data to shape our auction strategies, improve user experience, and drive growth. If you're passionate about data science and want to see your work make a real difference, this is the team for you. 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 auction dynamics, predict outcomes, and help consumers bid smarter.
Uncovering insights from data:
You'll dive deep into our data to identify trends and patterns, turning your findings 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 maintain fairness in our auctions.
Exploring new possibilities:
You'll research and evaluate different auction formats and strategies to maximise efficiency and revenue.
Sharing your knowledge:
You'll clearly communicate complex technical concepts to both technical and non-technical audiences.
About you
We welcome applications from all backgrounds, but here's what you'll likely bring to the table: A Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, Physical Sciences, Economics, or a similar field.
Proven expertise in data science and machine learning, with a track record of building and deploying models in a real-world setting.
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 for the job (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 technologies. BigQuery and dbt experience is a bonus.
Ideally, you'll also have experience with econometrics, Bayesian ML, causal inference, and/or auction theory.
You're a natural problem-solver with sharp analytical and critical thinking skills.
You communicate effectively and collaborate well, explaining technical information clearly to different audiences.
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 have familiarity with A/B testing and experimentation frameworks.
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 have a strong interest in auction dynamics and behavioural economics.
Our interview process
Our interview process includes: 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 2-3 business days of each stage. A talent partner will be there to answer any questions or assist with accommodations throughout the process.
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Motorway is the UK’s fastest-growing used car marketplace – our award winning, online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our technology-led approach has redefined the experience of selling a car, generating thousands of monthly car sales and helping us to grow to a team of over 400 across 4 locations. We are now valued at over £1 billion and is backed by some of the world’s leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better. About the team
The Marketplace team is at the heart of Motorway's growth, focused on making our online car auction platform the best it can be. We're not just about the tech; we're about creating a smooth and enjoyable experience for both car sellers and dealers. Our team is unique because we have a direct impact on Motorway's success. We use data to shape our auction strategies, improve user experience, and drive growth. If you're passionate about data science and want to see your work make a real difference, this is the team for you. 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 auction dynamics, predict outcomes, and help consumers bid smarter.
Uncovering insights from data:
You'll dive deep into our data to identify trends and patterns, turning your findings 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 maintain fairness in our auctions.
Exploring new possibilities:
You'll research and evaluate different auction formats and strategies to maximise efficiency and revenue.
Sharing your knowledge:
You'll clearly communicate complex technical concepts to both technical and non-technical audiences.
About you
We welcome applications from all backgrounds, but here's what you'll likely bring to the table: A Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, Physical Sciences, Economics, or a similar field.
Proven expertise in data science and machine learning, with a track record of building and deploying models in a real-world setting.
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 for the job (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 technologies. BigQuery and dbt experience is a bonus.
Ideally, you'll also have experience with econometrics, Bayesian ML, causal inference, and/or auction theory.
You're a natural problem-solver with sharp analytical and critical thinking skills.
You communicate effectively and collaborate well, explaining technical information clearly to different audiences.
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 have familiarity with A/B testing and experimentation frameworks.
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 have a strong interest in auction dynamics and behavioural economics.
Our interview process
Our interview process includes: 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 2-3 business days of each stage. A talent partner will be there to answer any questions or assist with accommodations throughout the process.
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