Data Scientist Intern

About this role

Responsibilities

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

Requirements

• 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.)

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 About the job You’ll join our Data Science team, where your mission will be to prototype, iterate on, and bring algorithms to production in close collaboration with Product, Data Engineering, and Development teams. The topics handled by the team have a real impact on our customers: our goal is to make the most of our rich and diverse data to grow their revenue, optimize marketplace operations, and ensure the safety of users and transactions. We’re hiring for an internship staring in September 2026 You’ll be mentored by a senior Data Scientist throughout the internship to support your research, hypothesis validation, implementation of innovative solutions, and the development of your technical and analytical skills. Our stack and tools Python, SQL, TensorFlow, Keras, PyTorch, Databricks, Spark, AWS (Amazon Redshift, S3, etc.), SQL, Airflow, Delta Lake Day to day, you will 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 You’ll love this internship if: 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