The posting
About us
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.
- Welcoming – We are inclusive, collaborative, and respectful, fostering a strong sense of belonging.
- Simplifying – We focus on what truly matters, set clear priorities, bring clarity, and remove complexity.
- 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 stakeholders across the full lifecycle of data science projects, from problem framing and exploration to model development, deployment support, monitoring, and impact assessment.
What you will do:
- Work with business stakeholders to understand requirements, clarify objectives, and translate business questions into analytical approaches.
- Contribute to end-to-end data science projects, from business problem framing to model development, validation, deployment support, impact assessment, and performance evaluation.
- Develop machine learning and advanced analytics solutions for customer analytics, personalization, recommendation systems, next-best-action, and next-best-offer use cases.
- Apply NLP and generative AI techniques on unstructured data to generate actionable insights
- Collaborate with machine learning engineers, data engineers, and platform teams to support model deployment.
- Support the prioritization and delivery of multiple data science initiatives, ensuring alignment with business needs.
- Mentor junior data scientists when needed and contribute to knowledge sharing within the team.
- Stay up to date with relevant developments in machine learning, generative AI, NLP, recommendation systems, and applied analytics.
Your profile:
- Advanced degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Physics, Economics, or a related discipline.
- Solid experience with machine learning, statistical modeling, predictive analytics, and data-driven decisioning.
- Ability to structure analytical problems and deliver practical solutions in a dynamic environment.
- Proficiency in Python and common data science libraries for analysis, modeling, and experimentation.
- Proficiency in SQL for data extraction, manipulation, and analysis.
- Proficiency with Git for version control, code collaboration, and reproducible analytical workflows.
- Good business acumen and ability to communicate effectively with both technical and non-technical stakeholders.
- Experience with customer analytics, personalization, recommendation systems, next-best-action or next-best-offer models is highly desirable.
- Experience with topic modeling, generative AI applications and Agentic Frameworks is a strong plus.
- Experience with cloud platforms (GCP), scalable data environments, production-grade analytics solutions is a plus.
- Proficiency in both Italian and English is mandatory.
What we offer:
Under the Private Radio and Television Collective Bargaining Agreement (CCNL), the salary starts from €40.000.
Contract Type: Permanent
The final compensation package will be based on the candidate’s experience and specific skills.
This position is also eligible for the annual incentive scheme.
At Sky, we are committed to providing a healthy, inspiring, and supportive working environment that values individual needs, both personally and professionally.
That is why we created Sky4You, our wellbeing programme designed to support employees through every stage of life. Some of the benefits available to you include:
- Complimentary access to Sky TV through Sky Q or Sky Stream
- Sky Wifi and Sky Mobile at exclusive employee rates
- Private health insurance, extendable to family members and cohabiting partners
- Life and accident insurance coverage
- Free access to the company gym (Milan office only)
- Financial support for new parents and caregivers
- Free tax return assistance
- Meal vouchers
In addition, you will have access to a range of initiatives focused on physical, mental, and financial wellbeing, as well as summer camps and language courses for children, plus exclusive discounts and partner offers.
Hybrid Working
Hybrid working that truly works. Depending on your role, you can benefit from up to 12 days of remote working per month, giving you the flexibility to focus without distractions. When you're in the office, you'll have the opportunity to collaborate, co-create, and make decisions together in unique spaces designed to help you perform at your best.
Our Milan hub is located in Rogoredo, in the Santa Giulia district, just a few minutes’ walk from Milano Rogoredo Station (M3 Rogoredo FS, regional and high-speed trains, and the suburban rail network), and is also well served by bus connections. The campus is easily accessible by car and motorbike, thanks to its convenient links to the city's main transport routes.
At the Sky Campus, you'll find two cafés, a company restaurant, the Sky Cinema, and a variety of collaborative spaces dedicated to innovation and the sharing of ideas. The surrounding area also offers a wide range of amenities, including cafés, restaurants, supermarkets, and other services
Learning and Development:
At Sky, we invest in your growth. We believe that internal mobility is a powerful driver of professional development, offering you opportunities to explore new roles and career paths across the business. Through Sky Learn, our learning platform, you will have access to continuous learning opportunities, digital content, and tailored upskilling and reskilling programmes designed to help you grow, evolve, and shape your future career.
Social Impact & Inclusion
At Sky, we believe in people. We are committed to fostering a diverse, equitable, and inclusive workplace where everyone feels empowered to be themselves and reach their full potential. We actively support employee wellbeing and are committed to providing equal opportunities for all, including individuals with disabilities and protected-category status under Italian Law 68/99.
As part of this commitment, Sky hosts several employee networks, including Body & Mind, LGBTQ+, Women@Sky, and Parents & Carers. These voluntary communities bring colleagues together to share experiences and promote initiatives focused on wellbeing, inclusion, and female empowerment.
We work every day to create a positive and lasting impact on the communities around us through Sky Cares volunteering initiatives, the digital education programmes delivered by Sky Up, and the immersive company-visit experiences offered through the Academy Studios.
Why wait?
Apply now to build an extraordinary career and become part of a brilliant team. We can't wait to meet you! At Sky, ideas become experiences for millions of people.
Sky is committed to attracting and developing talent in all its forms. All applications, including those from individuals belonging to protected categories under Italian Law 68/99, will be considered in accordance with the principles of equal opportunity and inclusion, without discrimination of any kind. Sky Italia is committed to ensuring a fair, inclusive, and non-discriminatory recruitment process.
In line with this commitment and with Legislative Decree No. 96/2026, Sky Italia neither requests nor collects information regarding candidates’ previous salary, compensation, or employment classification, either during interviews or through direct contacts and/or third parties involved in the recruitment process.
