Manager Data Scientist

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 simplify our customers’ lives.

As part of Sky Group and Comcast, we operate in an international environment driven by continuous innovation and powered by world-class technology that allows 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 bring together premium content, trusted news, and world-class sports within a simple and intuitive ecosystem.

We connect with audiences across Italy through our free-to-air channels – TV8, Cielo, and Sky TG24 – and go beyond entertainment with Sky Wifi and Sky Mobile, offering ultra-fast connectivity at home and on the go.

This is how we deliver 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, creating a strong sense of belonging.

Simplifying. We focus on what matters most, set clear priorities, bring clarity, and remove complexity.

Do the Right Thing. We build a culture of clarity, fairness, and trust, supported by transparent processes and decisions people can rely on.

Role: Manager Data Scientist

We are looking for a Data Science Manager who combines strong hands-on expertise with strategic leadership.

This is not a traditional people-management role: you will operate primarily as a senior individual contributor, while acting as the data science lead on high-impact, cross-functional initiatives. You will own complex projects end-to-end, partnering with business and technology stakeholders to turn data into measurable business impact.

You will play a pivotal role in bridging business challenges and advanced analytics, shaping how data science is applied across the organization and elevating both its impact and maturity.

What you will do:

• Lead data science projects from problem framing to production deployment
• Make key decisions on methodology, trade-offs, and technical direction
• Develop and deploy machine learning and AI models to drive customer value and operational efficiency
• Act as Data Lead on strategic initiatives, and serve as the go-to data science expert on critical, cross-functional programs
• Translate ambiguous business questions into structured analytical problems
• Drive alignment between stakeholders and ensure delivery of tangible, measurable outcomes
• Stay deeply hands-on
• Apply advanced analytics techniques in complex, multi-source and big data environments
• Promote high standards in code quality, reproducibility, and model governance
• Support adoption of responsible and ethical AI practices
• Provide guidance and mentorship to junior data scientists
• Foster a culture of ownership, pragmatism, and continuous improvement
• Partner with business stakeholders to identify high-impact opportunities
• Communicate complex analytical insights in a clear, compelling, and actionable way
• Drive data adoption and data-driven decision making across the organization

Your profile:

• Almeno 4 years of experience in data science or advanced analytics roles
• Proven ability to own projects end-to-end in production environments
• Strong track record of working in ambiguous, fast-paced environments
• Natural ownership mindset: you don’t just build models—you drive impact
• Machine learning (supervised, unsupervised, semi-supervised)
• Statistical modeling and experimentation
• Advanced proficiency in: Python (Pandas, NumPy, Scikit-learn, etc.), SQL, and/or R
• Productionization and collaboration with engineering teams

• Solid understanding of Data pipelines and large-scale data processing
• Experience with version control (Git)

• Ability to connect data work to real business outcomes and KPIs
• Experience interacting with stakeholders and influencing decisions
• Capability to identify and prioritize high-value use cases
• Experience leading projects or initiatives, even without direct reports
• Experience mentoring or coaching other data scientists
• Fluency in English and Italian is required

What we offer:

For employees covered by the Private Radio and Television Collective Labour Agreement (CCNL), compensation starts from €51,000 gross per year.

• Permanent employment contract.
• Compensation commensurate with experience and specific skills.
• Eligibility for the annual incentive scheme.
• Access to Sky’s wellbeing programme, Sky4You, designed to support employees throughout different stages of life. Benefits include:
  • Free access to Sky TV services through Sky Q or Sky Stream.
  • Sky Wifi and Sky Mobile at exclusive employee rates.
  • Private healthcare insurance extendable to family members and cohabitants.
  • Life and accident insurance.
  • Free access to the company gym (Milan office only).
  • Financial support for new parents and caregivers.
  • Free tax return assistance.
  • Meal vouchers.
  • Additional initiatives focused on mental, physical, and financial wellbeing, summer camps and language courses for children, as well as a range of discounts and partnerships.

Hybrid Working

Hybrid working that truly works.

Depending on your role, you can benefit from up to 12 days per month of remote working, while our offices provide inspiring spaces where people collaborate, innovate, and make decisions together.

Our Milan hub is located in Rogoredo, Santa Giulia district, just a few minutes’ walk from Milano Rogoredo Station (M3 Rogoredo FS, regional and high-speed trains, suburban rail services), with convenient bus connections and easy access by car or motorcycle.

At the Sky Campus, you'll find cafés, a company restaurant, Sky Cinema, and collaborative spaces designed to foster innovation and idea-sharing. The surrounding area also offers restaurants, bars, supermarkets, and a wide range of services.

Learning & Development:

At Sky, we invest in your growth.

We believe in internal mobility as a key driver of professional development and offer opportunities to explore new roles and career paths across the organization.

Through Sky Learn, our learning platform, you will have access to continuous training, digital learning content, and upskilling and reskilling programmes to help you grow, evolve, and build your future career.

Social Impact & Inclusion

At Sky, we believe in people.

We are committed to creating a diverse, equitable, and inclusive workplace where everyone can be themselves and achieve their full potential. We actively support wellbeing and ensure equal opportunities for all, including candidates belonging to protected categories under Italian Law 68/99.

Sky hosts several employee networks, including Body&Mind, LGBTQ+, Women@Sky, and Parents&Carers—voluntary communities that bring colleagues together to promote wellbeing, inclusion, and empowerment initiatives.

We strive every day to create a lasting positive impact on our communities through Sky Cares volunteering programmes, Sky Up digital education initiatives, and immersive educational experiences offered through the Academy Studios.

Why Wait?

Apply now to build an extraordinary career and join a brilliant team.

We can’t wait to meet you. At Sky, ideas become experiences for millions of people.

Sky welcomes every form of talent. All applications, including those from candidates belonging to protected categories under Italian Law 68/99, will be considered based on equal opportunity and inclusion principles, without discrimination of any kind. Sky Italia guarantees a fair, inclusive, and non-discriminatory recruitment process.

In line with this commitment and Legislative Decree 96/2026, Sky Italia does not request or collect information regarding candidates’ previous compensation or employment grading, either during interviews or through any third parties involved in the recruitment process.