We are the UK and Ireland's largest digital automotive marketplace.

Our purpose is to lead the digital future of the UK automotive marketplace. We aim to improve the process of buying and selling vehicles in the UK, by continually evolving the ecosystem to provide a better experience for consumers, retailers and manufacturers alike.

Auto Trader Manchester, UK
Full time
Data Scientists at Auto Trader are a bright bunch! They take volumes of data and analyse it to provide greater insight into our customers and our business. They love thinking creatively and using data to uncover new and innovative ways to improve our products. With over 15 million monthly users carrying out over 159 million searches among over 475 000 new and used vehicles there is around 180 million data events every day! Understanding this data, and the opportunities it creates, is central to the future of our company. To do this we use a cutting-edge tech stack incorporating tools such as AWS for hosting and Databricks to lift and process the data. When not in their day job, there’s a good chance you will find our Data Scientists at a data conference or event sharing their expertise and best practice with the wider data science community. This could be externally at organisations such as the Royal Statistics Society or at an in-house event such as one of our tech talks. Follow this link to view some of our recent talks: https://vimeo.com/305928040 We’re looking for the 6th Data Scientist to join our team. Data Scientists at Auto Trader are responsible for driving some of our most important data-driven business opportunities. Team members have developed seasonal forecasting models, price optimisation algorithms, customer segmentation techniques, and recommendation engines. As a member of the Data Science team, you will have a keen interest in applying mathematical models and algorithms to explore and understand our data and the commercial opportunities it presents. You will have hands-on experience either developing novel algorithms or working with data engineering to take models from prototypes to fully productionised systems. You will have a PhD in a numerate subject and have a strong interest in mathematical modeling, statistics or machine learning. You should have good knowledge of at least one high-level programming language and a desire to work with large, real-world data sets. However, it’s not just about the technical skills, people are a big part of this role too! You’ll be working with non-technical teams and it’s key that you’re able to communicate technical findings in a clear and simple way. We work in an agile environment, where things do move quickly, so you will be comfortable working on projects where requirements could change and you will, therefore, need to adapt as needed. You will have gained some experience within a commercial environment, where you have been able to influence decision-making at both strategic and operations levels. So are you the person we’re looking for? If so we’d love to hear from you. The salary banding for this role is between £50,000- £75,000 and we are willing to appoint at a range of levels depending on experience. We offer a flexible benefits package with 25 days holiday, pension and healthcare. We believe in providing more than just salary and benefits. We’ll give you time and support, so you can develop your career. Our Data Scientists attend conferences, we host external meet-ups in our event space and offer masterclasses focusing on communication, team working and leadership. As you can see, it’s not limited to what you learn at your desk. If we sound like the kind of place for you then we would love to hear from you. Everyone is unique in their own way and we are looking for people from all walks of life to become part of our inclusive culture. We’re committed to making Auto Trader a diverse and inclusive environment for everyone. Diversity for us means respect for and appreciation of differences in: gender, age, sexual orientation, disability, race and ethnic origin, religion and faith, marital status, social, educational background and way of thinking. Our commitment is to ensure you get the chance to be the best that you can be, showcase your full potential and make the right choice for you