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For Companies At a Glance
- Tasks: Join our data science team to develop ML solutions and tackle critical projects.
- Company: Auto Trader is the UK's leading automotive marketplace, known for innovation and diversity.
- Benefits: Enjoy a competitive salary, share options, 28 days holiday, and hybrid working model.
- Why this job: Be part of a vibrant culture that values collaboration and continuous learning in data science.
- Qualifications: Experience in data science, strong ML knowledge, and proficiency in Python required.
- Other info: Flexible remote work options available during summer and holiday periods.
The predicted salary is between 34000 - 51000 £ per year.
About us
You’ve probably heard of Auto Trader, but do you know what we’re all about?
We’re the UK’s leading automotive marketplace, a heritage brand, and a tech darling of the stock market. We bring together vehicle buyers and sellers to give them real choices. Cars may be what we’re best known for but we’re also the place for pretty much everything else on wheels, from e-bikes to caravans.
In the automotive world, change is a constant, that’s why we take our job of untangling the complex car-buying journey very seriously.
At our core, we’re all about people. We go our own way while embracing diversity and celebrating our differences. We dedicate ourselves to the idea that we work better together.
Auto Trader is a beautiful, surprising, and vibrant place to work. We might not be for everyone, but we could be perfect for you.
About the job
At Auto Trader, we are looking for a talented Data Scientist to join our highly successful data science team. Over the past 10 years, we have invested heavily in building our data science capability, growing a team of 35+ data scientists and analysts, many with PhD and postdoctoral research experience. In this time, we have developed and deployed a wide range of machine learning-driven products and tools, impacting every area of the business, from consumer search to forecourt management and internal tools.
As a Professional Data Scientist, you will join a cross-functional collaborative squad focused on a set of products or services. Working with a large amount of autonomy, your role will require you to utilise your knowledge of Data Science techniques to find the best scientific approach to the problem, working on critical projects.
You will collaborate with others in your team on the best solution, have a particular focus on developing ML solutions for production, and will work on all stages of the ML lifecycle.
Our Data Scientists are currently focused on several important projects. They’re creating personalised recommendations to engage buyers better, improving our search algorithm for a better buyer experience while helping sellers stand out, developing AI tools for tasks like creating listings and ads, studying how competition impacts seller performance, and upgrading our customer data platform for targeted marketing.
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.
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 you to have experience with all of these):
- Python and Databricks
- Spark, MLFlow, and Airflow for ML Workflows
- Google Cloud Platform for our analytics infrastructure
- dbt and BigQuery for data modelling and warehousing
What we’re looking for
- Experience delivering data-science solutions in a commercial or research (e.g. PhD) environment
- A strong understanding of Data Science techniques, including ML algorithms and statistical methods
- Proficient in building ML pipelines with Python
- An enthusiasm for engaging with non-technical stakeholders and establishing scientific rigour in teams
- Experience collaborating on Data Science projects and working with other disciplines like software engineers
- At Auto Trader, we believe that every candidate brings a unique blend of talents. If you find yourself ticking some, but not all, of the requirement boxes, we’d still love to hear from you
Benefits
We’re offering a salary of £40,000 – £60,000 plus an additional 10% of your salary awarded to you in shares each year. These awarded shares will become yours in yearly instalments over the next three years, and you can choose to either sell them or keep them as shares.
You’ll have 28 days holiday per year, and that’s in addition to bank holidays and half-day closures on Christmas and New Year’s Eve.
That’s not all. We have employee pension contributions up to 7%, comprehensive private medical cover, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and much more.
We always want to give you the support you need and help prioritise your wellbeing, that’s why we provide access to 24/7 online GP and dentist, as well as specialist support for assisted fertility, gender dysphoria, menopause, period care plans and lots more.
On top of all that, our hybrid model, Connected Working, combines the best of both worlds – office and home working. You’ll have two fixed weekly office days for team collaboration and one more of your choice to suit your work-life balance.
Additionally, during July and August, along with two weeks in December, we have our remote first periods. During these times, you can work remotely, whether that’s from another location in the UK or even from certain locations abroad. #J-18808-Ljbffr
Data Scientist employer: Auto Trader
Contact Detail:
Auto Trader Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Python, Databricks Spark, and Google Cloud Platform. Having hands-on experience or projects showcasing these tools can set you apart from other candidates.
✨Tip Number 2
Engage with the data science community by attending meetups or webinars focused on machine learning and data analytics. This not only helps you stay updated on industry trends but also allows you to network with professionals who might provide insights or referrals.
✨Tip Number 3
Prepare to discuss your previous data science projects in detail, especially those that involved collaboration with non-technical stakeholders. Highlight how you communicated complex concepts effectively and contributed to team success.
✨Tip Number 4
Show your enthusiasm for Auto Trader's mission by researching their recent projects and initiatives. Be ready to discuss how your skills and experiences align with their goals, particularly in enhancing buyer engagement and improving search algorithms.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Company: Before applying, take some time to understand Auto Trader's mission and values. Familiarize yourself with their products and services, especially how they utilize data science in their operations.
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly any work with machine learning algorithms and Python. Emphasize your ability to collaborate with non-technical stakeholders and your experience in delivering data-driven solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss specific projects or experiences that align with the job description, particularly your experience in building ML pipelines and collaborating on data science projects.
Showcase Your Skills: If you have experience with technologies mentioned in the job description, such as Databricks Spark or Google Cloud Platform, be sure to include this in your application. Highlight any relevant projects or achievements that demonstrate your expertise in these areas.
How to prepare for a job interview at Auto Trader
✨Showcase Your Data Science Expertise
Be prepared to discuss your experience with data science techniques, particularly machine learning algorithms and statistical methods. Highlight specific projects where you've successfully implemented these techniques, as this will demonstrate your practical knowledge.
✨Demonstrate Collaboration Skills
Since the role involves working closely with cross-functional teams, share examples of how you've collaborated with non-technical stakeholders or software engineers in past projects. This will show that you can communicate complex ideas effectively.
✨Familiarize Yourself with Relevant Technologies
While you may not need to know every technology listed, having a basic understanding of tools like Python, Databricks, and Google Cloud Platform will be beneficial. Be ready to discuss any relevant experience you have with these or similar technologies.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think through how you would approach real-world data science challenges, especially those related to improving user experiences or developing ML solutions for production.
