Data Scientist

Hungry for a challenge? 

That’s good, because at Just Eat Takeaway.com (JET) we have abundant opportunity, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe.

Our mission? To empower every food moment around the world, whether it’s through customer service, coding or couriers. 

About this role

We are looking for a Data Scientist to join the Insights and Enablement team. This newly established team sits within Retail Media, part of Jet Ventures, and plays a pivotal role in shaping how we use data from our Customer Data Platform (CDP), enabling advanced audience segmentation, data visualisation, dashboards and surfacing insights across Retail Media and the broader JET organisation.

As part of a multidisciplinary, data driven team, you’ll apply coding, statistics, and machine learning to business problems, build models and solutions that drive impact. You’ll work closely with other data scientists, product managers, analysts and engineers to ensure data is reliable, accessible and actionable for product development and analytics.  You’ll also partner with the broader Data & Analytics department, helping scale capabilities across our wider engineering teams.

We’re seeking curious problem-solvers, who are passionate about data, experimentation and emerging technologies in machine learning and AI.

These are some of the key ingredients to the role

Build, test, and deploy machine learning models for audience segmentation, recommendation, targeting, and campaign optimization.

Use statistical methods (e.g. A/B testing, causal inference) to evaluate experiments and business impact.

Develop prototypes and production-ready pipelines using Python, SQL and ML libraries (e.g.. scikit-learn, Pytorch, TensorFlow)

Collaborate with engineers to design and maintain scalable data pipelines and ML workflows, ensuring robust model deployment and monitoring.

Monitor and evaluate model performance, addressing data quality, drift and reliability issues.

Contribute to shared tools, documentation and best practices in the wider data science and engineering community at JET.

What will you bring to the table?

Hands-on experience applying ML and statistical techniques to real-world data problems.

Strong coding skills in Python and ML libraries (e.g. Pandas, NumPy, scikit-learn, PyTorch/TensorFlow,) 

Understanding of feature engineering, data mining, and ML techniques – ideally in audience segmentation or personalisation.

Familiarity with ML pipeline tools (MLflow, Kubeflow, or similar) and version control (Git).

Skills at Navigating ambiguity and turning complex, messy data into actionable insights.

Proficiency in SQL and navigating large scale data lakes and warehouses (e.g. Google BigQuery, Redshift).

A collaborative mindset, eager to learn and share knowledge with peers.

Experience with cloud platforms such as AWS, GCP is a plus!

At JET, this is on the menu: 

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. 

Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.

Inclusion, Diversity & Belonging 

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. 

What else is cooking? 

Want to know more about our JETers, culture or company? Have a look at our where you can find people's stories, blogs, podcasts and more JET morsels.

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