ABOUT US

Our mission is to deliver joy in every shop, through unbeatable choice, unrivaled service, and reassuringly good value.
We’re Ocado Retail, a market-leading, joint venture between Ocado Group and M&S and the world’s largest dedicated online supermarket ocado.com. Not only is Ocado.com the only place to shop a full range of M&S food online, but it’s also the home to the widest online supermarket range in the UK and champion of small, independent brands. We’re also the brains behind Zoom by Ocado, our same-day grocery delivery service.

ABOUT THE TEAM AND THE ROLE

Data is core to our decision making, and we have one of the richest datasets in the industry. The Data Science team develops models which turn our data into actionable insights. It is our mission to leverage data to give the best value and experience to our customers and suppliers whilst increasing profitability and growth for Ocado Retail.
The Data Science team is responsible for understanding the complexities in the data, generating appropriate models to answer business questions, and delivering the outputs of these models to stakeholders in diverse areas of the business . It is our responsibility to work across functions to productionise these models so they are available to the right people, any time they need them. This could be in the form of a data table with the outputs of the model, or developing an interface to allow users to interact with the data in a way that allows them to leverage models for their specific needs.
Our remit is to apply statistics, machine learning and artificial intelligence to our data at scale, and to do this we use Python, SQL, and the Google Cloud Platform (GCP). We are cross-functional by design, working with stakeholders across the business with varying degrees of technical expertise, meaning communicating complex ideas is core to the success of the Data Science team.

WHAT YOU’LL DO

Research, plan, and deliver the development of data science products for a variety of business areas. This will include creating statistical models and deploying them on enterprise cloud infrastructure, as well as interfacing with internal stakeholders to understand their business needs and communicating possible solutions.
You will effectively communicate complex technical issues and findings to a range of technical and non-technical internal audiences.