Data Science & Architecture Intern — Hybrid ML & Dashboards

Wpp; Milano; Hybrid; EUR 7,800 - 13,000; Full time

Job summary

WPP is seeking an Intern in the Data Science & Architecture team to help turn media and marketing data into actionable insights. You will collect, clean and prepare data for dashboards and reports, and support data pipelines and campaigns analysis.

Working alongside Data Scientists, Data Engineers and Cloud Engineers, you will gain hands‑on experience in data analysis, machine learning and data architecture, contributing to projects that improve campaign effectiveness and inform business

Qualifications

• Pursuing or recently completed degree in relevant field.
• Strong interest in data analysis, reporting and dashboarding.
• Basic knowledge of Python and SQL.
• Familiarity with BI tools a plus.
• Analytical mindset and problem-solving.
• Proactive and eager to learn.
• Fluent English.

Responsibilities

• Collect, clean, validate and prepare data from campaign, analytics and CRM sources for analysis and reporting.
• Build and maintain dashboards and reports, and analyse datasets to identify trends and insights.
• Contribute to the development, testing and maintenance of the data pipelines that feed dashboards and reports.
• Help interpret digital campaign performance and translate business questions into clear metrics and visualisations.
• Work with Data Scientists and Engineers to learn how data pipelines and architecture are designed.
• Support the documentation and presentation of analytical findings.
• Stay up to date with emerging trends and technologies in data science and AI.

Skills

Python

SQL

BI Tools

Analytical mindset

Communication

Education

Data Science

Statistics

Mathematics

Economics

Computer Science

Engineering

Tools

Power BI

Looker Studio

Tableau

Job description

WPP is seeking an Intern in the Data Science & Architecture team to help turn media and marketing data into actionable insights. You will collect, clean and prepare data for dashboards and reports, and support data pipelines and campaigns analysis.

Working alongside Data Scientists, Data Engineers and Cloud Engineers, you will gain hands‑on experience in data analysis, machine learning and data architecture, contributing to projects that improve campaign effectiveness and inform business