Internship – Data Scientist / Data Engineer (End-of-Studies, 6 Months)

Job description

About

DATA&DATA is a growing startup on a mission to transform how luxury brands understand online market dynamics. We aggregate and analyze large-scale data from across the web to provide actionable insights into the pricing, availability, and visibility of high-end consumer goods.

We work at the intersection of data engineering and machine learning , with a strong emphasis on building reliable, scalable, and maintainable data pipelines. Our systems power core analytics for some of the world’s most iconic luxury brands.

Job Description

As a Data Scientist / Data Engineer Intern , you’ll be part of a small, fast-moving team responsible for processing large volumes of structured and unstructured data related to luxury items . Your focus will be on:

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Working on data scraping, enrichment, and normalization processes

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Designing, improving, and maintaining our ETL pipelines (the core of our system)

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Developing and testing clean, production-grade data workflows

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Researching and prototyping new algorithms (classification, information extraction, etc.)

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Extracting insights from our database to drive internal and client-facing analytics

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Monitoring data quality and building tools to help us scale faster and smarter

Preferred Experience

We’re looking for someone who is curious, hands-on, and passionate about data and code. You must be in your final year of studies (Master’s or equivalent) and eligible for a 6-month end-of-study internship .

Must-haves :

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Excellent Python skills (++), including use of common libraries (pandas, scikit-learn, etc.)

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Strong SQL knowledge (you know your way around JOINs and subqueries)

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Good understanding of machine learning fundamentals and practical experience

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Solid grasp of NLP concepts and applications (classification, entity extraction, etc.)

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Experience with Git for version control and collaboration

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Ability to write clean, maintainable, and tested code

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Fluency in English (written & spoken); French is a bonus

Nice-to-haves :

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Experience with cloud platforms (e.g. Azure, GCP)

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Working knowledge of modern data tools (Airflow, dbt, Spark, etc.)

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Experience with computer vision or deep learning frameworks (PyTorch, Hugging Face transformers, ...)

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Familiarity with scraping techniques (Selenium, BeautifulSoup, etc.)

Recruitment Process

The recruitment process involves:

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Initial screening – We review your resume and additional materials you submitted

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Phone interview – A call to discuss your background, motivation and ask some basic technical questions

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Take-home assignment – A technical test related to data and databases

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Final interview – Meet the team and discuss your solution and fit

Why Join Us?

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Impact : Your work will go straight to production and contribute to our core tech from day one

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Tech & Challenges : A playground for data lovers—real problems, real scale

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Culture : Flat hierarchy, flexible hours, casual every day, no unnecessary bureaucracy

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Team : Tight-knit, passionate, and supportive

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Workspace : Based at Station F , the heart of the Paris startup ecosystem

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Perks : Mentorship, autonomy and a clear path to a full-time offer

Additional Information

·  Contract Type: Internship (Between 6 and 6 months)
·  Start Date: 01 September 2025
·  Location: Paris
·  Education Level: Master's Degree
·  Occasional remote authorized