Data Scientist Intern

About Mirakl:

Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.

Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).

With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.

For more information, visit www.mirakl.com.

Mirakl in Numbers:

• 🗓️ Founded in 2012 | Member of French Tech Next40
• 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo

Our Values:

Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.

Our 5 values guide how we collaborate:

• 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
• 🏆 Get Things Done:  We prioritize action and efficiency for impactful results
• 🚀 Go Above & Beyond:  We tackle challenges proactively and always aim for excellence
• 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
• 🤝 Satisfy & Empower Clients: We're committed to our clients' success

• Get to Know the Data Science Team That Powers the Mirakl Platform

• Analyze and prepare data: Learn best practices to explore and transform data to ensure quality and relevance for algorithms
• Prototype algorithms: Test and refine your ideas with your manager’s support
• Collaborate on productionization: Work with Data Engineers to make your solutions ready for real-world deployment
• Build dashboards: Showcase the relevance of your work and monitor production performance
• Present your results: Share your progress weekly with the team for feedback and guidance
• Explore advanced methods: Grow in a high-level technical environment with experts who can train you
• Join brainstorming and tech watch, and collaborate with other teams

• For the Catalog Transformer team: Training LLMs and VLMs to automate onboarding of sellers’ catalogs
• For the Media team: Automatically generating new media types from images for marketplace product pages: 3D, video

• You’re in the final year of a Master’s (Bac+5) at an engineering school or university in Computer Science
• You know Python and its data science ecosystem (pandas, sklearn, seaborn, dash)
• You’re familiar with data preparation techniques and feature engineering
• You understand statistics, machine learning, and deep learning algorithms
• You’re particularly interested in industrialization and scaling of data science models beyond experimental work
• You want exposure to cloud environments (Google Cloud, AWS, MS Azure)
• You enjoy teamwork
• You’re responsive, service-oriented, a good listener, and a strong communicator
• You’re curious, autonomous, and proactive

• Internship stipend : based on your master status
• A workplace that supports well-being and balance: breakfasts, fitness and yoga classes, after-work events, game nights
• Supportive mentoring from technical experts
• Regular feedback to help you grow and gain autonomy
• Immersion in a collaborative, passionate team eager to share knowledge and experience
• A unique opportunity to discover a fast-growing French unicorn and work with international teams
• Access to our Works Council discounts (tickets, etc.)
• Healthy body, healthy mind: with the Gymlib pass, take time for yourself
• Modern offices in the heart of Paris (right by the Eiffel Tower)
• Swile meal vouchers
• Transportation covered (50% Navigo, bike, etc.)

We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations.

We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.