Sainsbury’s: Sr. Data Scientist
Seeking a Senior Data Scientist to lead the way on game-changing data science projects, and enjoy incredible variety and scope to make a lasting impact at Sainsbury’s. Based in the brand new Data & Analytics Centre of Excellence, our dedicated central Data Science team sit alongside experts in analytics, reporting, engineering and information management
Location: London, UK
Position: Senior Data Scientist
Leading the way on game-changing data science projects, you’ll enjoy incredible variety and scope to make a lasting impact at Sainsbury’s. Based in the brand new Data & Analytics Centre of Excellence, our dedicated central Data Science team sit alongside experts in analytics, reporting, engineering and information management - providing all the resources and support needed to turn big ideas into bold solutions. The highly experienced Head of Data Science makes sure the team is engaged only in significant work. You’ll have a pivotal role to play.
As a Senior Data Scientist, you’ll lead a small team working closely with internal customers from across the business. This is a growing function, with a queue of customers and plenty to build - so you’ll relish the chance to drive forward as many different projects as your team can enthusiastically handle. Working closely with the customer, you will be the face of the project. You’ll help them to understand what we can offer, run workshops to tease out the business objective, and transform it into a scientific problem with a set of experiments or hypotheses to test. It’s all about gathering relevant data; exploring ways to identify meaningful patterns or verify the reality of a hypothesis; then working with an engineering team to turn your findings into a software product.
You could help to change customer behaviour online, optimise the use of space in our stores or schedule every product from supplier to shelf. Every change you shape will be a change that is visible to everyone.
We are keen to understand our customers and what they want. So, by considering integrated customer data on purchases, overlaid with third party data on stores, plus affluence in the local area, we’ve been able to give teams a more data-driven approach to planning what to stock and how to layout a store. Similarly, we gathered data on historic customer transactions online and used machine learning algorithms to predict what would be next in their basket. The next innovations? Whatever they are, you’ll be a driving force in their success.
Highly driven and proactive, you’ll have multiple projects on the go at any given moment. You’ll enjoy the support of data scientists, and they will enjoy your skills in coaching them to develop. Crucially, you’ll make sure the team takes a proper data science approach to the work. We’ll look to you to design experiments that really test for statistical significance, and to rigorously design and test ideas and data. You’ll establish the need for test and control groups, determine the range of inputs to the algorithm, quantify what does and doesn’t work, and test it all for significance. As well as solution design and review, you’ll focus strongly on stakeholder management. The relationships you build and the solutions you communicate will underpin exciting changes.
Along the way, you’ll have the benefit of advanced ways of working, including an enviable AWS technology stack as we move onto an AWS Cloud infrastructure. You will learn from a diverse team of colleagues with backgrounds in areas as diverse as mathematics, marketing, computer science, engineering, and even biomedicine. You will have the potential to develop and hone skills in selling new work, take ownership of relationships with specific areas of the business, and attend conferences and training.
To be equal to the challenge, you’ll need be to be proficient with Python or R. We’ll expect a demonstrable ability to own and run data science deliverables. You’ll bring to the role proven expertise in Design of Experiments, hypothesis testing and how to package your science into prototype algorithms deployed on a Spark/Hadoop stack. Familiarity with software engineering techniques will make a difference, too. Curious about data and creative in your thinking, you are also an exceptional communicator. It’s vital that you have a flair for storytelling and visualisation, which enables you to distil complex mathematical stuff into clean, beautiful visuals and communicate it all to the customer. Because your ideas will revolutionise our business.