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Marketing Data Scientist

Pubblicato il 17-08-2026 - Sky Italia in Milano

Sky is the technology and media company that makes entertainment and connectivity a personal, simple, and seamless experience.
Our motto is We Believe in Better : we believe people deserve the very best, and we innovate every day to create value and make our customers’ lives easier.
As part of Sky Group and the wider Comcast family, we operate within an international environment driven by continuous innovation and powered by outstanding technology, enabling us to reach millions of people every day.
With an IP-first approach , we design cutting-edge technology platforms— Sky Stream, Sky Q, Sky Glass, and NOW —that seamlessly bring together premium content, trusted 24⁄7 news coverage, and world-class sporting events within a simple and intuitive ecosystem.
We connect with audiences across the entire country through our free-to-air channels—TV8, Cielo, and Sky TG24—and go beyond entertainment with Sky Wifi and Sky Mobile, delivering ultra-fast connectivity both at home and on the move.
This is how we bring the joy of a better experience, guided by our values:




Creative – We are ambitious and innovative, embracing new technologies and leveraging insights to stay one step ahead, continuously raising the bar for our customers.
Do the Right Thing – We build a culture rooted in clarity, fairness, and trust through transparent processes and decisions that people can rely on.

Position: Data Scientist
We are seeking a skilled and motivated Senior Data Scientist to contribute to data science initiatives focused on customer analytics, personalization, recommendation systems, next-best-action strategies, and NLP/text analytics.

In this role, you will work with large-scale customer, product, content, and interaction data to develop machine learning and advanced analytics solutions that improve customer experience, support business decision-making, increase operational efficiency.
You will collaborate with data scientists, machine learning engineers, data engineers, and business s

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