Data Science Summer School – Paris 2026

Summer School

June 29, 2026 to July 03, 2026
Paris, France

Cutting Edge Data Science

The Teads Data Science Summer School, established in 2018, is a premier, intensive program designed to significantly advance the data science and machine learning skills of students and young professionals.

This hands-on, one-week program combines theoretical concepts with practical application, providing participants with a comprehensive understanding of data science and equipping them with sought-after, cutting-edge skills from the industry. Teads, a leader in digital innovation, is dedicated to fostering excellence through industry collaboration and education.

If you are passionate about data and enjoy coding, this is an exceptional opportunity to propel your career. During the one-week program, you will work with our highly talented data scientists and engineers, navigating the complete lifecycle of real-world data science projects. Using gigabytes of realistic advertising data, you will apply advanced data science techniques to solve actual industry challenges on a massive scale. A great opportunity for gaining practical knowledge and experience.

To qualify, you must possess strong coding skills and a foundational knowledge of data science and machine learning.

The program is entirely FREE, which includes all activities, lunches, coffee, and snacks. However, participants must commit fully to the entire duration of the program.

Who will benefit most from attending the Data Science Summer School?

The Teads Data Science Summer School is designed for enthusiastic individuals with some existing knowledge in machine learning and data science, gained through university studies, online courses, or involvement in platforms like Kaggle.

We encourage applications from final-year undergraduates, master’s, and Ph.D. students in computer science or related fields, as well as recent graduates and professionals seeking to advance their expertise. Although prior experience is advantageous, the program is structured to accommodate all skill levels, allowing both beginners and advanced practitioners to learn and contribute effectively.

Essential prerequisites include a basic grasp of machine learning and data science concepts and proficiency in coding, as the summer school focuses heavily on practical, hands-on projects. While experience with Python and TensorFlow is helpful, it is not mandatory.

What to Expect?

Our team of expert data scientists and engineers will lead you through a week of engaging data science talks, hands-on workshops, and exciting experimentation. You will also have the opportunity to learn from internal and external guest lecturers and connect with fellow data scientists through various social activities.

The curriculum covers essential data science and machine learning topics, with an emphasis on real-life problems Teads solves every day in the programmatic advertising and full-funnel omnichannel data driven solutions.You can expect expert lectures on selected data science topics and hands-on workshops utilizing large and sparse datasets.

The official language of the summer schools, including all presentations and materials, is English.

Schedule

The schedule is yet to be determined!

Why Learn From Us?

At Teads, we’re building the leading recommendation platform for the Open Web. Our World-Class Data Science Team is daily working with:

Machine Learning at Scale: Our systems calculate over 1 billion machine learning predictions every second
Immediate Business Impact: Deployed ML models have a direct and significant impact on our business
Production-Ready Algorithms: We don’t keep cutting-edge deep learning algorithms on the shelf – we deploy them to make a difference
Massive Data Processing: We generate and manage petabytes of data daily, using our own data centers, S3, and BigQuery
Multi-Cloud Environment: Our infrastructure leverages the power of AWS, GCS, and a private cloud
Optimized Production: Java and Go-lang are our primary production languages; Python is used for offline research
In-House TensorFlow Expertise: Our highly optimized ML algorithms are developed in-house using TensorFlow
In-House Distributed AutoML Framework: Our custom AutoML framework empowers effective offline research
End-to-End Ownership: Our data scientists own the ML-powered features they develop, from initial concept to final product
Continuous Learning: We foster a culture of learning, both internally (knowledge-sharing initiatives) and externally (conferences, papers, talks)
Knowledge Sharing: We share our expertise externally through conference talks, meetups, and student mentorship programs
Global Collaboration: We’re part of a world-class data science and software engineering organization with a global presence

Apply Now!

Don’t miss this opportunity to advance your data science skills. Submit your application by 14. 6.2026. Join the ranks of successful alumni who have propelled their careers forward through our program. We welcome participants from diverse backgrounds, fostering a rich learning environment.

Apply to Summer School