About Auto Trader
We’re Auto Trader, the UK's leading automotive marketplace and a FTSE 100 tech-listed company, uniting the largest and most engaged consumer audience with the most extensive network of vehicle sellers. At our core, it's all about people. We embrace diversity, celebrate our differences, and forge our own path. Our six core values define our distinct culture, and our dedication to in-person collaboration sets us apart.
About the role
We are seeking a Senior Data Scientist who will play a crucial role in driving Auto Trader's transformation into a data science-driven organisation.
As a Senior Data Scientist you will be responsible for the direction of Data Science at Auto Trader. You will join a cross-functional collaborative squad focussed around a set of products or a services. With your experience and research skills you will spot the opportunities for Data Science and work with the leadership in your squad to prioritise, resource and shape subsequent projects. Your role will require you to orchestrate these projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution. You will have a strong focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key.
Right now, our Data Scientists are working on several exciting projects. For instance, they're creating personalised suggestions to get buyers more involved, improving our search system to make buying better for customers while also helping sellers stand out, building AI tools to aid customers in tasks like making listings and describing ads, studying how competition affects seller performance on our site, and upgrading our customer data platform for better targeted marketing beyond our site.
As part of our broader analytical community, Data Scientists collaborate closely with Data Analysts and Digital Analysts. Together, they foster a culture of shared insights, continuous learning, and mutual support through regular showcases, feedback sessions, mentorship programs and skill-based workshops. As a Senior member of the community, you will play a key role in establishing our analytical standards and tools.
We have invested heavily in a Data Platform that supports industry-leading Data Science. These are some technologies that our Data Scientists use (we don't expect applicants to have experience with all of these):
Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.
If you are interested in learning more about how we use Data Science at Auto Trader, here are some interesting posts on our engineering blog:
We are looking to grow our diverse team of curious data scientists. In your application you should demonstrate:
We're offering a salary between £50,000 and £70,000 dependent on experience, and a flexible benefits package to support your health and well-being.
Enjoy 28 days of annual leave, in addition to bank holidays and half-day closures on Christmas and New Year's Eve. Our Aviva pension scheme offers employer contributions ranging from 5% to 7%. We also provide Bupa Healthcare enhanced medical coverage to all employees, which includes support for assisted fertility, gender dysphoria, menopause, and period care plans.
But that's not all. We offer enhanced parental leave, a car salary sacrifice scheme, share-save options, and much more. When you join us, you'll also become an owner of Auto Trader, receiving an additional 10% of your salary in shares each year. This allows you to share in the value you help create, and you'll also have the chance to increase your ownership through our Save As You Earn scheme.
Our hybrid model, Connected Working, combines the best of both worlds – office and home working. With Connected Working, you'll have two fixed weekly office days dedicated to team collaboration. In addition to your fixed office days, we expect you to be in more than you’re out. You can choose the specific days that suit your work requirements, home commitments, and team needs.
Find out more about Connected Working here or speak to a member of our resourcing team.
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