Network Data Scientist

Sky
Peckham
1 year ago
Applications closed

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Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: You will work in a team of Network Planners, Developers and Data Scientists to support the develop ment of software and analytics capabilities for model ling Sky's European network infrastructure and to drive the network strategy. Your main responsibilities will be: Data Engineering and Network Modelling Ingest and process network usage and commercial data Create capacity and economic network model s G enerate capacity and budget forecasts Network Analytics Apply data science methodologies to analyse and improve network performance and cost efficiency Develop Insights to support commercial objectives and p resent analysis/plans to relevant stakeholders up to UK CTO Software Development Develop and Deploy software to support data collection and interaction with delivery teams Design , Develop and Support Network Automation tools Stakeholder Management Extract and evaluate requirements from service owners Identify , modify , or create and document business processes What you'll bring: You will have excellent knowledge and experience ( gained in the industry ) in the data science and SW development area s . This is a highly dynamic role that will allow you to grow multidisciplinary skills i n the D ata Science , N etwork Modelling and S oftware D evelopment domains . Essential requirements: BSc in Computer Science (or similar) 3 years Industry experience developing and deploying P ython applications Working e xperience with managing and analysing large data sets H ands-on knowledge of SQL Familiarity with Agile methodologies Excellent s takeholder m anagement skills Desirable requirements: Statistical analysis and Machine Learning knowledge Modelling and trend analysis expertise Familiarity with IP networks and data centre infrastructure Working experience deploying solutions on public cloud Team Overview: The Network Software and Data Science team, part of Sky's Network Automation and Intelligence division , takes a data-driven approach towards meeting network planning goals, including capacity planning, performance planning and network economics. We develop insights which reinforce planning decisions and support wider commercial objectives . The rewards: There's one thing people can't stop talking about when it comes to LifeAtSky : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences How you'll work - hybrid working: The world has changed. And so have we. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and varied community; close to street food, cafes, and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way.

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