28 Jun 2018

Permanent Data Scientist

Auto Trader UK – Posted by Auto Trader UKAnywhere

Job Description

Data scientists and engineers at Auto Trader are a bright bunch! They take volumes of data and analyse it to provide greater insight into our customers and business. They love thinking creatively and using data in different ways to uncover new and innovative ways of making the products we provide to our customers even better. It’s our aim to be the most admired digital company in the UK so we continually review and improve our products and develop new ones to stay ahead of the market. Data is absolutely key to our success as it creates opportunities for our sales and products squads allowing them to make informed decisions. It also enables decisions to be made regarding our strategic direction so you can see how important data science is to us.

Auto Trader is the largest digital automotive marketplace in the UK with over 15 million monthly users carrying out over 159 million searches among over 475 000 new and used vehicles. This creates vast amounts of data every day. Understanding this data, and the opportunities it creates, is central to the future of our company.

We’re looking for a 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 and customer segmentation techniques. Some of our more ambitious projects involve collaborations with academia, and team members have opportunities to attend and present at mathematics and machine learning conferences and workshops. Data science underpins many of our most innovative products and will play an even greater role across the business as our capabilities grow.

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. More senior candidates will have hands-on experience either developing novel algorithms or working with data engineering to take models from prototypes to fully productionised systems.

We encourage applications from candidates across the full range of experience levels from those just starting their data science career to those currently employed in a data scientist role. You will have, or shortly expect to gain, a PhD in a numerate subject and have a strong interest in mathematical modelling, 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.

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 £35,000- £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 (with the option to buy or sell days) and are located in awesome offices in central Manchester and there’s as much free tea, coffee and fresh fruit as you like!

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.

How to Apply

Please apply directly - via the link below; https://careers.autotrader.co.uk/jobs/technology/Data-Scientist

Job Categories: Data Handling. Job Types: Permanent. Job expires in 12 days.

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