Data Science & Analytics Intern — Learn, Build, Impact

metyisag; Barcelona; Presencial; EUR 8900 - 16.000; A tiempo parcial

Descripción de la vacante

Metyis is seeking an intern to join our Data and Analytics team in Barcelona or Madrid. You will work on data science and data engineering tasks, applying ML concepts and data-driven approaches to client challenges.

You will be mentored by a dedicated manager, gaining hands-on experience across data pipelines, analytics, and visualization tools and collaborating with a diverse, international team.

Formación

• Currently enrolled in a quantitative Master with a focus on data analysis
• Knowledge of statistical concepts, programming languages (e.g., R, Python), machine learning and visualization tools (PowerBI, Tableau, Shiny)
• Curiosity and ability to make data-driven decisions
• Theoretical frameworks from your Bachelor and Master studies
• Professional fluency in English
• Any analytical work experience is a plus

Responsabilidades

• Solve Data Science and Analytics problems we face at clients.
• Apply theoretical machine learning knowledge and analytics in practice.
• Balance taking on tasks from the project.
• Enjoy the knowledge sharing environment of Strategists, Data Engineers, Data Analysts and Data Scientists.
• Assist in design, development and maintenance of data pipelines.
• Help with data warehousing and data modelling activities.
• Participate in data-driven solutions to support business needs.
• Collaborate with data scientists, business analysts and software engineers to implement data requirements.

Conocimientos

Python

R

PowerBI

Tableau

Shiny

Data analysis

English

Educación

Quantitative Master’s program

Pursuing degree in data-related field

Herramientas

PowerBI

Tableau

Shiny

Descripción del empleo

Metyis is seeking an intern to join our Data and Analytics team in Barcelona or Madrid. You will work on data science and data engineering tasks, applying ML concepts and data-driven approaches to client challenges.

You will be mentored by a dedicated manager, gaining hands-on experience across data pipelines, analytics, and visualization tools and collaborating with a diverse, international team.