Manager Data Scientist

Questa posizione è in Sky

Il processo di selezione sarà interamente gestito Sky.

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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

• 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