Product Data Scientist Intern

Criteo is looking for new talented interns able to start from September 2026!

The Product Analytics & Data Science team uses cutting-edge technology, advanced statistics and machine learning to tackle some of the most complex Product challenges at Criteo. We help Criteo validate and evolve our products while exploring strategic game-changers to vault Criteo ahead in a fast-evolving media landscape. The team brings data and business expertise to feature teams, a unique understanding of complex Criteo machinery and supports Product Managers to design and build products with difference. 

Wondering how is the life in the Product Analytics & Data Science​ team?

Take a peek at : https://careers.criteo.com/en/criteo-life-blog/from-the-inside/live-my-life-with-the-product-analytics-data-science-team/ 

You will be assigned to one or several projects.  The topics we tackle are wide and always evolving! 

• Support the Measurement and R&D teams to build a comprehensive, practical, and universal measurement framework that frames the way CMOs understand their online marketing efficiency along the entire buyer journey 

• Improve Identity & Privacy solutions by optimizing our capability to recognize users across all their devices and their interactions in the open-internet 

• Work with the Quality Ad Experience team to pivot our user-level personalization engine and delivery rules to contextual and/or audience-based strategy 

• Explore and support the development of our New Marketing Outcomes: Video & CTV, Contextual, and Omnichannel. 

• Build the Buyer Index, a decision support service to improve the performance of digital ad campaigns in meeting clients’ goals across all addressability scenarios: addressable, cohort-based, or contextual. 

• Work with the Trading Strategies team, to offer a suite of controls to our advertisers and enhance the performance of our business models: budget, audience, targeting.

Overall, your responsibilities include: 

• Mine large data sets and turn them into understandable and actionable insights 

• Build scalable analytic solutions using state of the art tools based on large and granular datasets 

• Design and execute a stream of analysis and tests to measure the impact of your solutions 

• Master our internal analytic datasets and reporting tools 

• Master’s degree student or higher (Mathematics, Computer Science, Physics, Engineering, Economics, etc.)

• Available for at least 5 to 6 months from September

• End of study or gap year internship

• Outstanding analytical skills and creative thinking 

• Fluency in the core toolkit of Data Science: 

• Python; SQL

• Manipulating large-scale data sets 

• Building data pipelines 

• Descriptive and predictive modeling 

• Implementing visualizations, dashboards, and reports 

• Excellent interpersonal and communication skills, pro-active and independent to work with!

PS: Please apply with an English resume

We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!​

We’re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses.
At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment.
We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs—never on non-job-related factors or legally protected characteristics.