Data Science Intern — Hybrid (Barcelona/Madrid) AI-Driven

Aily Labs SLU; Madrid; Hybrid; EUR 10,000 - 17,000; Part time

Benefits offered by this job

Competitive internship compensation

Flexible remote work and time管理 within

Access to latest technologies and upsk

Job summary

Aily Labs SLU is offering a Data Scientist Internship in Spain. You will translate business needs into technical requirements and work on methodologies with Python and SQL.

This hybrid role allows 2–3 office days per week in Barcelona or Madrid, with part-time or full-time hours. Ideal for students or recent graduates in math, stats, data science, or related fields who are eager to learn and contribute to real-world analytics.

Qualifications

• Currently studying or recently graduated in Mathematics, Statistics, Data Science, Physics, or related fields.
• Knowledge of Python and SQL.
• Highly motivated, dynamic, and detail-oriented.
• Strong multi-tasking skills and ability to work in a fast-paced environment.
• Strong interpersonal and communication skills, both verbal and written.
• Advanced level of English.
• Open to part-time or full-time work.
• Must have legal authorization to work in Spain (we cannot provide visa sponsorship).

Responsibilities

• Translate business needs into technical requirements.
• Design, develop, and implement statistically grounded methodologies to address business needs.
• Debug and problem-solve issues to ensure the delivery of accurate metrics.
• Create and document reusable packages and libraries.
• Dive into technical problems and figure out solutions that make our product meaningful.

Skills

Python

SQL

English

Communication skills

Attention to detail

Teamwork

Education

Mathematics, Statistics, Data Science, Physics

Tools

Pandas

Job description

Aily Labs SLU is offering a Data Scientist Internship in Spain. You will translate business needs into technical requirements and work on methodologies with Python and SQL.

This hybrid role allows 2–3 office days per week in Barcelona or Madrid, with part-time or full-time hours. Ideal for students or recent graduates in math, stats, data science, or related fields who are eager to learn and contribute to real-world analytics.