Job Detail

Network Data Scientist

Data Science and AI Full–time
ID: #9998
Posted: 2026-03-16
Salary

Description

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 • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) • Analyses large amounts of information to discover trends and patterns in complex datasets. • Designs experiments and build models that can help improve customer experience or optimise operational efficiency. • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. • Creates visualisations of results using various SaaS platforms or other Python software packages. • Monitors performance of models over time by tracking key metrics. • Present findings in a clear manner using reports or presentations. What you'll bring • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. • Prior exposure to time series forecasting • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place • A generous pension package • Private healthcare • Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. 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 diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. We'd love to hear from you 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. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Hard Skills 7
Skill Source Confidence
Python llm_hard
100%
SQL llm_hard
100%
Exploratory Data Analysis (EDA) llm_hard
100%
Clustering llm_hard
100%
Feature Engineering llm_hard
100%
Time Series Analysis llm_hard
100%
Forecasting llm_hard
100%
Soft Skills 19
Skill Source Confidence
Collaboration llm_soft
100%
Presentation Skills llm_soft
100%
Problem-Solving llm_soft
100%
Critical Thinking llm_soft
100%
Analytical Thinking llm_soft
100%
Explaining Complex Ideas Clearly llm_soft
100%
Stakeholder Communication llm_soft
100%
Written Communication llm_soft
100%
Organization Skills llm_soft
80%
Planning llm_soft
80%
Goal Setting llm_soft
80%
Working Independently llm_soft
80%
Cross-Team Collaboration llm_soft
80%
Creative Problem Solving llm_soft
80%
Innovation llm_soft
80%
Adaptability llm_soft
80%
Flexibility llm_soft
80%
Learning Agility llm_soft
80%
Time Management llm_soft
80%
Apply Options
Publisher Direct Link
Glassdoor No Apply
Experteer No Apply
Jobs For Stevenage Fans No Apply
LinkedIn No Apply
Talents By StudySmarter No Apply
SaluteMyJob No Apply
IT Job Board No Apply
BeBee No Apply
Glassdoor No Apply
API Logs for this Job
Query Country Status Response ms Created
Network Data Scientist extracted 8770 2026-03-22 02:06
Network Data Scientist classified 439 2026-03-21 20:53
junior data scientist in London gb duplicate 15834 2026-03-21 16:54
junior data scientist in United Kingdom gb processed 15536 2026-03-21 16:54
Raw JSON
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  "job_description": "We believe in better. And we make it happen.\n\nBetter content. Better products. And better careers.\n\nWorking 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.\n\nWe turn big ideas into the products, content and services millions of people love.\n\nAnd we do it all right here at Sky.\n\nWhat you'll do\n• Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS)\n• Analyses large amounts of information to discover trends and patterns in complex datasets.\n• Designs experiments and build models that can help improve customer experience or optimise operational efficiency.\n• Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions.\n• Creates visualisations of results using various SaaS platforms or other Python software packages.\n• Monitors performance of models over time by tracking key metrics.\n• Present findings in a clear manner using reports or presentations.\n\nWhat you'll bring\n• Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights.\n• Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling.\n• Prior exposure to time series forecasting\n• Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability.\n• Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows.\n• Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights.\n• Comfortable working in Agile environments, participating in sprint planning, retrospectives etc.\n• Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders.\n\nTeam overview\n\nOur team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers.\n\nThe rewards\n\nThere's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:\n• Sky Q, for the TV you love all in one place\n• A generous pension package\n• Private healthcare\n• Discounted mobile and broadband\n\nInclusion & how you'll work\n\nWe are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.\n\nWe'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.\n\nYour office space:\n\nBrick Lane:\n\nOur Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops.\n\nThe closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk.\n\nWe'd love to hear from you\n\nInventive, 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.\n\nBut 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.\n\nIf you believe in better, we'll back you all the way.\n\nJust so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.",
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