Overview

Vacancy Name: Data Scientist

Vacancy No: VN955

Job Type: Permanent

Location: Hatfield

Job Details

Data Scientist

Contract type: Permanent

Location: Hatfield (Hybrid working - 3 days in the office)

Working hours per week: 40 hours

Level: Mid-level

Application Closing Date: Friday 10th September 2025

About us

Our mission is to deliver joy in every shop, through unbeatable choice, unrivalled 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, 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.

Who you are

• Have a curious mind and a passion for learning new methods of problem solving
• Have a methodical approach to explore every angle of a problem to be certain it\'s completely solved
• Have an undergraduate degree in sciences and further post-graduate study in mathematics, statistics or related field or equivalent industry experience.
• Experience with Python and SQL, including key packages such as Numpy, Pandas and Scikit-learn
• Have experience with implementation of machine learning concepts and methods
• Have a solid knowledge of statistical concepts and their applications
• Have great communication skills with a passion for data storytelling

It would be great to have

• Experience with data science in a retail environment
• Experience using version control software (e.g. Git), and deploying code to be executed in the cloud
• Using Large Language Models (LLMs) in product development
• Experience using cloud computing (Google Cloud Platform preferred) and cloud ML suites (GCP Vertex AI preferred)
• Conducted high level research, such as a M.Phil or PhD or relevant industry experience
• Knowledge of deep learning frameworks such as Tensorflow or Torch

What\'s in it for you

By joining Ocado Retail, you\'ll have the chance to experience life at the world\'s largest online retailer, work with an amazing bunch of people who challenge what\'s possible each day, and grow your skills and career in online retail.

If that\'s not enough to tempt you, you\'ll also get access to loads of great benefits to sweeten the deal. Here\'s a taste of what we offer:

Health & Wellbeing: Private medical insurance with option to add your family, Digital GP appointments, market-leading family policies, mental health support, discounted gym memberships, dental insurance, and more.

Spend & Save: Annual bonus scheme split between personal and business objectives, recognition with reward platform, up to 7% matched pension contributions, 15% Ocado discount, 20% M&S discount, free breakfast every day in the office, electric vehicle leasing scheme, and free shuttle bus from Hatfield station to the office.

Never miss the moments that matter: Hybrid working, 26 days holiday plus 8 flexible bank holidays, options to buy extra holiday, 2 weeks work from anywhere, and lifestyle break opportunities.

Our Hiring Process

Lucky for us, we receive a high volume of applications and genuinely appreciate the time and effort invested by every candidate. To ensure a fair and thorough process, every application is reviewed by a member of our team. If your skills and experience are a strong match, a Talent Partner will contact you to discuss the role and guide you through the next steps of our hiring process.

Your Application and AI

In the spirit of innovation, we welcome you to use AI tools in your application, just as we use them in our own business at Ocado Retail. However, as you leverage this technology, please don\'t lose sight of the most important element: your unique self. Your experiences, passions, and personality are what truly set you apart. Ensure that your application still authentically conveys who you are and why you\'re a great fit for us.

Everyone\'s welcome

We\'re an equal opportunity employer. That means that we make sure all potential colleagues are treated fairly and equally. If you require reasonable adjustments during the recruitment process, please let us know on the application form.