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980 postes de

Data Scientist Junior à France

Data Analyst Intern

Launchmetrics

Paris
Hybride
EUR 40 000 - 60 000
Il y a 15 jours
Je veux recevoir les dernières offres d’emploi de Data Scientist Junior

Data Scientist Assistant – Stage (6 mois) Mars 2026 (F/H/NB)

Ubisoft

Paris
Sur place
EUR 40 000 - 60 000
Il y a 15 jours

Actuarial Data Scientist - Remote (EU)

Seeqle

Paris
Hybride
EUR 50 000 - 70 000
Il y a 15 jours

IFIP / ATT - Data scientist H / F

Ministère de l-Économie, des Finances et de la Souveraineté industrielle et numérique

Paris
Sur place
EUR 80 000 - 100 000
Il y a 15 jours

Data Scientist

SG

Boulogne-Billancourt
Sur place
EUR 45 000 - 65 000
Il y a 15 jours
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Ingénieur IA Data Scientist(HF)

fortil

Biot
Sur place
EUR 45 000 - 55 000
Il y a 15 jours

Senior Data Analyst | Deals (M&A) | Lyon | CDI | H/F

PwC

Lyon
Sur place
EUR 40 000 - 60 000
Il y a 15 jours

STAGE - DATA SCIENTIST - (F / H / X)

CANAL+ Group

Puteaux
Sur place
EUR 80 000 - 100 000
Il y a 15 jours
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Lesquin
Sur place
EUR 40 000 - 60 000
Il y a 15 jours

Join our teams of enthusiasts STAGE DATA SCIENTIST (FHX)

CANAL+

Puteaux
Sur place
EUR 80 000 - 100 000
Il y a 15 jours

Data Analyst / Data Engineer FIntech, leader Européen précurseur dans la deeptech 50 / 55K€ fix[...]

L2C

Montrouge
Hybride
EUR 50 000 - 55 000
Il y a 15 jours

Data Engineer (all genders)

Phagos

Suresnes
Hybride
EUR 35 000 - 45 000
Il y a 15 jours

Alternance - Data Scientist Junior H/F

Nexa

Paris
Sur place
EUR 40 000 - 60 000
Il y a 20 jours

[STAGE] Data Scientist junior [H/F]

Édifice

Paris
Sur place
EUR 40 000 - 60 000
Il y a 20 jours

Data Scientist Junior (h/f)

emagine

Roissy-en-France
Sur place
EUR 35 000 - 50 000
Il y a 26 jours

Junior Data Scientist - Construction Tech Python, SQL, GCP (H/F)

Bailly Network

Biarritz
Hybride
EUR 40 000 - 50 000
Il y a 26 jours

Data analyst (H/F)

SOC COOPER GROUPEM ACHAT CENTRE LECLERC

Ivry-sur-Seine
Sur place
EUR 43 000 - 60 000
Il y a 18 jours

Data Analyst Contrôle Qualité H/F - Mission / CDD 14 mois

GSK

Évreux
Sur place
EUR 35 000 - 50 000
Il y a 18 jours

CAPEX & Logistics Procurement Analyst Intern

Pernod Ricard

Paris
Hybride
EUR 40 000 - 60 000
Il y a 18 jours

Stage de fin détudes Consultant(e) Data Science & IA

Sia

Paris
Sur place
EUR 60 000 - 80 000
Il y a 18 jours

Data engineer H/F

TWYCE

Paris
Hybride
EUR 35 000 - 45 000
Il y a 18 jours

Stage - Health Data Scientist (H/F)

Withings

Issy-les-Moulineaux
Sur place
EUR 80 000 - 100 000
Il y a 18 jours

Ingénieur(e) Data Scientist IA/GenAI stagiaire

Arkema

Pierre-Bénite
Sur place
EUR 80 000 - 100 000
Il y a 18 jours

Ingénieur(e) Data Scientist IA/GenAI stagiaire

The Arkema Group

Pierre-Bénite
Sur place
EUR 80 000 - 100 000
Il y a 18 jours

Data Scientist Python Stage HF

ASSYSTEM

Courbevoie
Sur place
EUR 80 000 - 100 000
Il y a 18 jours

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Data Analyst Intern
Launchmetrics
Paris
Hybride
EUR 40 000 - 60 000
Plein temps
Il y a 16 jours

Résumé du poste

A data analytics company is offering an internship role in Paris for students pursuing degrees in related fields. The position supports data-driven decision-making through dashboard management, data reliability assurance, and user training. Applicants should have skills in SQL, data analysis, and be fluent in English. The role allows for remote or hybrid work arrangements.

Prestations

Flexible work arrangements
Learning and development allowance
Tailored benefits package

Qualifications

  • Currently pursuing a relevant degree.
  • Familiar with Metabase and ideally Databricks.
  • Strong analytical skills to derive insights.
  • Ability to communicate complex data concepts.
  • Demonstrates quick problem-solving abilities.

Responsabilités

  • Act as the first point of contact for Metabase support.
  • Train teams on effective Metabase usage.
  • Design and maintain BI dashboards.
  • Troubleshoot data inconsistencies.
  • Conduct targeted ad-hoc analyses.

Connaissances

Data analysis
SQL / NoSQL databases
Problem-solving
Communication
Collaboration
Fluency in English

Formation

Degree in Engineering, Data Analysis, IT or related field

Outils

Metabase
Databricks
Python
R
Description du poste

This internship would suit a student looking for work alongside their studies as part of their degree (internship credit required!).

This role welcomes both full remote and hybrid work arrangements. However, applicants must be based in Spain, France, or Italy.

ABOUT THE ROLE

“ Atlas ” is Launchmetrics’ Data Lake, powered by Databricks . It serves as the central repository for storing, managing, and analyzing large volumes of data across the organization. Designed to empower data-driven decision-making, Atlas enables collaboration and innovation across all departments.

Reporting to our VP of Product in charge of Metrics, you’ll play a key role in helping teams across the company understand and leverage data in their day-to-day decisions . You will support this mission by providing dashboards, insights, and tools that make our data more accessible and actionable.

WHAT YOU'LL DO :
  • Manage Metabase Support : Act as the first point of contact for teams using our BI platform (Metabase, connected to Atlas). You’ll handle permissions, invitations, and guidance requests while ensuring swift and effective resolution of any issues.
  • Enable Data Literacy : Train internal teams on how to use Metabase efficiently, and document our data assets, dashboards, and best practices to foster autonomy and confidence in using data.
  • Build and Maintain Dashboards : Design and maintain BI dashboards that provide meaningful insights to different teams — for example :
  • Product : product measurement frameworks
  • Data Operations : coverage analysis
  • Marketing : brand data performance
  • Ensure Data Reliability : Troubleshoot inconsistencies and contribute to ensuring that data across Atlas remains accurate, reliable, and well-structured.
  • Conduct Ad-Hoc Analyses : Support business and product strategies through targeted investigations that uncover insights and identify opportunities for improvement.
  • Explore Smart Automation & AI Agents : Experiment with tools such as n8n or similar automation frameworks to create MCPs and design agents that help teams interact with Atlas data more intuitively — for example, automated alerts, natural-language data queries, or self-service reporting bots.
ABOUT YOU
Skills and Qualifications :
  • Academic Background : You are currently pursuing a degree in Engineering, Data Analysis, Information Technology, or a related field and you have some demonstrable practical experience in data analytics.
  • Technical Skills : You are familiar with Metabase and ideally Databricks or similar tools, basic understanding of SQL / NoSQL databases, and interest in DataLake.
  • Analytical Abilities : You have strong capability to analyze data, identify patterns, and derive meaningful insights to support business decisions.
  • Communication : You are able to simplify complex data concepts for various audiences.
  • Problem-Solving : You demonstrate efficiency in troubleshooting and resolving issues, demonstrating quick thinking and adaptability.
  • Collaborative Spirit : You work effectively within a team, leveraging collaboration to meet collective goals.
  • Fluency in English : You must be fluent in English, both written and verbal, to ensure effective communication across our global team.
Extra Credit :
  • You have experience with Python or R for data manipulation and ETL processes.
  • You’re interested in automation and AI tools (like N8N) and eager to experiment with new ways to make data more accessible.
  • You are familiar with product analytics tools, understanding the dynamics of product interaction and user experience.

W e value diverse perspectives and recognize that skills and experiences can be gained in various ways. If you're excited about this opportunity but don't meet every single requirement listed, we would love to hear from you and encourage you to submit an application!

OUR RECRUITMENT PROCESS
  • Intro Call
  • Meet & Greet
  • Skills Assessment
ABOUT LAUNCHMETRICS

Launchmetrics provides the First AI-powered Brand Performance Cloud for Fashion, Lifestyle and Beauty (FLB) companies to make smarter decisions around their brand marketing efforts.

Our suite of SaaS leverages AI and data to help our customers plan, execute and measure brand marketing initiatives. With over a decade of industry expertise, we have helped more than 1,200 customers create inspiring, impactful and measurable experiences.

Founded in NYC and with operating headquarters in Paris, we have employees in ten markets worldwide. We have been the trusted brand performance technology to brands worldwide such as Dior, Fendi, Shiseido, NET-A-PORTER and Adidas as well as industry partners like IMG, the Council of Fashion Designers of America, the British Fashion Council, and Camera Nazionale Della Moda Italiana.

WHY YOU'LL LOVE LAUNCHMETRICS

We're a company that prioritizes people, fostering a relaxed yet dynamic atmosphere. Our international team is filled with enthusiastic, motivated individuals who enjoy their work. Autonomy empowers our team members, allowing them to make a substantial difference in our business, for our customers, and within our organization. When you become part of our team, you'll have access to growth and advancement possibilities, including a learning and development allowance, a benefits package tailored to each location, and flexible work arrangements, along with support for establishing your home office and other perks.

OUR COMMITMENT

Launchmetrics is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If there is anything extra we can do to help you feel at ease during your interview process, please let the PeopleOps team member you’ll be meeting with know.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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