Hybrid Data Platform Intern: Analytics & Pipelines

Havas Media Group Spain SAU; Greater London; Hybrid; GBP 18,000 - 24,000; Part time

Benefits offered by this job

Free breakfast in the office

Wellbeing and mental health support

Yulife wellbeing app

Gym discount

Cycle to work scheme

Eye care

Season ticket loan

Employee assistance programme

Workplace nurseries

Training and development sessions

Diversity, Equity & Inclusion

Networking

Industry insights

Group projects

Job summary

Havas Media Group is seeking a Data Science & Engineering Platformer on a hybrid basis in London. The intern role focuses on building data pipelines, analyzing marketing data, and supporting data-driven storytelling for client campaigns.

You'll work with Python and SQL on Google Cloud Platform, gaining hands-on experience across data collection, transformation and modeling while collaborating with cross-functional teams.

Qualifications

• Strong curiosity about data and technology and a numerical, analytical mindset.
• Interest in applying data science and engineering to support business decisions.
• Ability to communicate data-driven stories clearly to non-technical audiences.

Responsibilities

• Extract, process and transform large datasets from multiple sources.
• Conduct data analysis using Python and SQL, and present findings in Excel/PowerPoint.
• Contribute to designing data pipelines and analytics platforms.
• Collaborate with Data Ops, Consumer Research, and Data Strategy teams.
• Gain exposure to cloud platforms (AWS, GCP or Azure) and learning workflows.

Skills

Python

SQL

Excel

PowerPoint

Data engineering basics

Tools

Google Cloud Platform

pandas

NumPy

Job description

Havas Media Group is seeking a Data Science & Engineering Platformer on a hybrid basis in London. The intern role focuses on building data pipelines, analyzing marketing data, and supporting data-driven storytelling for client campaigns.

You'll work with Python and SQL on Google Cloud Platform, gaining hands-on experience across data collection, transformation and modeling while collaborating with cross-functional teams.