# Principal Data Scientist at Sky

AI Level 1, AI centrality 25 out of 100. Milan, Monte Penice.

## Details

- Company: [Sky](https://jobsbylevel.com/companies/sky)
- AI level: AI Level 1 (score 25 out of 100)
- Location: Milan, Monte Penice
- Salary: €52k
- Posted: October 7, 2026
- Apply: https://jobsbylevel.com/go/256a11d3-d888-4957-8c3e-634a91ecb2ba

## Description

About us Sky is a tech media company that makes entertainment and connectivity a personal, simple, and limitless experience. Our motto is We Believe in Better : we believe people deserve the very best, and every day we innovate to create value and make our customers’ lives easier. As part of Sky Group and the Comcast family, we operate in an international environment driven by continuous innovation and supported by world-class technology that enables us to reach millions of people every day. With an IP-first approach, we design cutting-edge technology platforms, including Sky Stream, Sky Q, Sky Glass and NOW, integrating premium content, trusted and around-the-clock news coverage, and major sporting events into a simple and intuitive ecosystem. We connect with audiences across the 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 go. 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 while 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 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. Role: Princiapl Data Scientist We’re looking for a passionate and talented Lead Data Scientist to join our team. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations across a variety of topics. What you’ll do: · Apply data workflow tasks as extraction, mining, preparation, quality control, KPI optimization, modelling, validation and business insight consideration. · Apply advanced analytics techniques in a big data paradigm considering multiple data sources · Develop and deploy machine/deep learning models applied to cross-functional use cases to increase customer value or operational efficiency. · Lead the technical design and delivery of complex data science initiatives, defining analytical and modelling approaches, ensuring methodological rigor, reviewing solutions developed by other data scientists, and partnering with machine learning engineers to deploy models into production. · Mentor and coach junior data scientists through technical guidance, code reviews, modelling reviews, and best-practice sharing. · Define and promote best practices in data science, statistical modelling, experimentation, and machine learning across the team. · Act as the technical reference point for the most complex analytical initiatives, supporting project teams in problem framing, methodology selection, and solution design. · Identify opportunities where advanced analytics and AI can generate measurable business value and drive strategic decisions. Your Profile: · A Master’s Degree or Ph.D in a highly quantitative field (Statistics, Computer Science, Machine Learning, Data Science, etc.) or equivalent experience · At least 5 years of industry experience in data science · Fluent in data wrangling and preparation: exploratory analysis, profiling & cleansing, feature selection, feature engineering, supervised, unsupervised and semi-supervised modelling techniques. · Strong working knowledge on programming languages such as Python, SQL, R, common data science libraries (Pandas, Numpy, Scikit-learn, Dask, etc.) and at least one of the deep learning oriented APIs (Keras, TensorFlow, PyTorch) · Use of version control systems (like git) · Demonstrated ability to translate loosely defined business challenges into structured analytical approaches and actionable solutions. · Strong knowledge of statistical inference,

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Source: https://jobsbylevel.com/jobs/principal-data-scientist-at-sky-f406c3

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