University College London Partners on Data Driven Marketing Internship

Author: Monika H.

Through this collaboration, UCL interns will contribute to two critical areas of our work: data-driven customer segmentation and Marketing Mix Modelling (MMM). These projects provide a unique opportunity to apply theory to practice in real-world scenarios, helping us solve complex challenges with cutting-edge marketing science. We also know that learners today are the leaders of tomorrow. That is why we are proud to invest in exceptional talent and create a space where analytical thinking and creative problem-solving come together. As part of this announcement, we are also answering some of the most common questions about marketing internships and methodologies.

What are the hard skills for a marketing internship?

A marketing internship provides exposure to key areas such as data analysis (BigQuery, Looker Studio), digital advertising (Google Ads, Meta Ads), Search Engine Optimization (SEO), content writing, CRM platforms, and WordPress website management. Interns also gain insight into using Google Analytics and dashboards for data-driven marketing decisions.

Key hard skills for a marketing internship include:

• Basic knowledge of Google Ads and Meta Ads platforms
• Understanding of SEO fundamentals and keyword research
• Familiarity with content writing for web and social media
• Basic skills in WordPress website management and CMS platforms
• Use of Google Analytics for interpreting website performance
• Data handling with Google Sheets, BigQuery, and Looker Studio
• Understanding email marketing tools and campaign setup
• Exposure to basic design tools (e.g., Canva or Adobe Express)

What is data-driven customer segmentation?

Data-driven customer segmentation is the process of dividing a customer base into groups using behavioral, demographic, or transactional data. This approach helps marketers create targeted strategies, personalize messaging, and improve ROI by understanding the unique needs and characteristics of each segment.

What is the MMM methodology?

Marketing Mix Modelling (MMM) is a statistical technique used to estimate the impact of various marketing channels on sales or conversions. It helps businesses allocate budgets efficiently by analyzing historical data to understand what’s working, what’s not, and how to optimize future marketing efforts.

This partnership is more than a milestone — it is a step forward in shaping the next generation of marketing professionals. We cannot wait to see the insights and innovations our interns bring to the table.

Stay tuned for more updates as we continue to grow, learn, and lead in data-driven marketing.

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