Stage Data Scientist

Mirakl; Paris; Sur place; EUR 80 000 - 100 000; Plein temps

Résumé du poste

A leading eCommerce solutions provider in Paris is seeking three end-of-studies interns for its Data Science team. Candidates must be in their final year of a Master's program and possess skills in Python, data preparation, and machine learning algorithms. Interns will analyze data, prototype algorithms, and collaborate with Data Engineers. The role offers an internship stipend of €1,600 monthly and mentorship from senior experts in a supportive environment.

Prestations

€1,600 monthly stipend

Fitness and yoga classes

Mentoring from technical experts

Regular feedback for growth

Access to Works Council discounts

Transportation covered (50% Navigo)

Modern office near Eiffel Tower

Qualifications

• Final year of Master's at an engineering school or university.
• Proficient in Python and data science ecosystem.
• Understanding of machine learning and deep learning algorithms.

Responsabilités

• Analyze and prepare data for quality assurance.
• Prototype and refine algorithms for implementation.
• Collaborate with Data Engineers on deployment.

Connaissances

Python

Data preparation techniques

Statistics

Machine learning

Deep learning

Communication

Teamwork

Formation

Master's degree (Bac+5)

Outils

pandas

sklearn

seaborn

dash

Google Cloud

AWS

MS Azure

Description du poste

Mirakl is the leading provider of eCommerce software solutions. Mirakl's suite of solutions provides enterprises with a transformative way to drive significant growth and efficiency in their online business. Since 2012, Mirakl has been pioneering the platform economy, empowering retail and b2b enterprises with the most advanced, secure and scalable technology to digitize and expand product assortment through marketplace and dropship, improve efficiency in supplier catalog management and payments, personalize shopping experiences, and boost profits through retail media.

Mirakl is trusted by Macy’s, Saks, Henry Schein, The Knot, 1800‑Flowers, Best Buy, Lowe's, Ulta and 450+ industry‑leading businesses worldwide. For more information: www.mirakl.com.

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 3 end‑of‑studies interns for 6 months starting in January or February 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.

About the team

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

Our stack and tools

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

We are recruiting for 3 Mirakl products. Example topics handled by the teams:

Marketplace product

• Developing a seller scoring model based on quality criteria
• Detecting anomalies in seller behavior

Mirakl Ads

• Fine‑tuning and optimizing inference performance of multimodal and text embedding models for a product retrieval system powering sponsored listings
• 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’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

What we offer:

• Internship stipend Master 2: €1,600 per month
• 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)
• 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 strongly encourage you to apply to any of our roles, even if you think you’re not an exact match. 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.

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