Senior Data Scientist - Personalisation/Segmentation

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. 

We are looking for Data Scientists 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.

This is not a typical Data Scientist, as  part of a multidisciplinary, data driven team, you’ll be responsible for exploring new methods in machine learning, statistics, casual interference; prototyping and validating novel algorithms; and  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 self starters, who are passionate about data, experimentation and emerging technologies in machine learning and AI.

• Lead and conduct research into advanced ML/AI methods, causal inference,(i.e. A/B Testing) and experimental design, applied to Retail Media challenges.
• Prototype and evaluate algorithms for audience segmentation, recommendation, targeting, and campaign optimization.
• Collaborating with data and ML engineers to design and maintain scalable data pipelines and ML workflows, ensuring robust model deployment and monitoring.
• Identify and address critical gaps in data quality, model performance and pipeline reliability.
• Mentor and support fellow data scientists, fostering a culture of collaboration and technical excellence.
• Shape and implement data strategies that enable experimentation, audience segmentation and performance analytics.
• Champion best practices in data science and ML, contributing to the wider data science and engineering community at JET.

• Proven experience as a research-focused data scientist, with a track record of applying ML, AI, or statistical methods to complex, real-world problems and building and deployment of these models into production.
• Strong background in machine learning, causal inference, experimentation, or recommendation systems.
• Demonstrated ability to bridge theoretical depth with practical impact, knowing when to experiment and when to deliver.
• Deep understanding of data mining, feature engineering and ML techniques - especially in audience segmentation or personalisation.
• Clear and effective communication skills, with the ability to tailor insights for both technical and non technical stakeholders.
• Strong analytical rigor in evaluating models, experiments and algorithmic changes using offline and online methods.
• Skilled 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).
• Experience with cloud platforms such as AWS, GCP is a plus!

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.
 

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. 
 

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