Data Science & Architecture Intern — Hybrid

WPP Media Limited; Lombardia; Hybrid; EUR 10,000 - 15,000; Full time

Benefits offered by this job

Hybrid work model

Mentorship program

Competitive benefits package

Job summary

WPP Media Limited is seeking an Intern for the Data Science & Architecture team. You will help turn media and marketing data into actionable insights, collecting, cleaning and preparing data for dashboards and reports, and supporting data pipelines.

You will work alongside Data Scientists, Data Engineers and Cloud Engineers, gaining hands-on experience in data analysis, machine learning and data architecture.

Qualifications

• Degree in data-related field or close equivalent.
• Strong interest in data analysis, reporting and dashboarding.
• Basic knowledge of Python and SQL.
• Familiarity with BI tools (Power BI/Looker Studio/Tableau) is a plus.
• Analytical mindset and problem-solving skills.
• Proactive and eager to learn.
• Good communication skills and fluent English.

Responsibilities

• Collect, clean, validate and prepare data from campaigns, analytics and CRM sources for analysis and reporting.
• Build and maintain dashboards and reports, and analyse datasets to identify trends and insights.
• Contribute to development, testing and maintenance of data pipelines feeding dashboards and reports.
• Help interpret digital campaign performance and translate business questions into metrics and visuals.
• Collaborate with Data Scientists and Engineers to understand data pipelines and architecture.

Skills

Data analysis

Dashboarding

Fluent English

Proactive learner

Education

Bachelor's degree in Data Science/Statistics/Math/CS/Engineering

Currently pursuing or recently completed

Tools

Python

SQL

Power BI

Looker Studio

Tableau

Job description

WPP Media Limited is seeking an Intern for the Data Science & Architecture team. You will help turn media and marketing data into actionable insights, collecting, cleaning and preparing data for dashboards and reports, and supporting data pipelines.

You will work alongside Data Scientists, Data Engineers and Cloud Engineers, gaining hands-on experience in data analysis, machine learning and data architecture.