Data Internship (6 months) Jan 2027 — Remote 1x/wk €1,700/mo

L'Oréal; Paris; Hybrid; EUR 17,000 - 21,000; Part time

Benefits offered by this job

Remuneration €1,700 per month

Transportation: 75% of publictransport

Remote working: 1 day/week

PaidLeave: 1 day per month

Job summary

L’Oréal is offering a 6-month Data internship starting January 2027 in Paris. The role covers multiple Data paths such as Data Analyst, Data Scientist, and Data Engineer. You will work across brands and markets with real responsibilities and mentorship.

The program expects Master’s students in Data, Statistics, Applied Mathematics, or CS, fluent in English and French, with strong analytical and technical skills. A hybrid working setup and structured recruitment process are provided.

Qualifications

• Master’s student (Bac+4/5) from an engineering school, university, or business school.
• Fluent in both English and French.
• Solid technical foundations (Python, R, SQL, visualization tools, or engineering frameworks).
• Strong analytical mindset, attention to detail, curiosity, and excellent communication with technical and non-technical audiences.

Responsibilities

• Data analysis & exploration to identify trends and opportunities.
• Develop ML models (e.g., segmentation, forecasting) to support decisions.
• Design dashboards and present recommendations to stakeholders.
• Contribute to data pipelines and database structuring.
• Bridge business requirements with technical teams.

Skills

Data analysis

Bilingual EN/FR

Python

R

SQL

Visualization tools

Communication skills

Education

Master’s student (Bac+4/5)

Tools

Python

R

SQL

Visualization tools

Job description

L’Oréal is offering a 6-month Data internship starting January 2027 in Paris. The role covers multiple Data paths such as Data Analyst, Data Scientist, and Data Engineer. You will work across brands and markets with real responsibilities and mentorship.

The program expects Master’s students in Data, Statistics, Applied Mathematics, or CS, fluent in English and French, with strong analytical and technical skills. A hybrid working setup and structured recruitment process are provided.