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Sky

Principal Data Scientist

London
Posted 1 day ago
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Job Description

We don’t just believe in better. We make it happen.

Better content. Better products. And better careers.


Working in Tech, Product or Data at Sky

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream 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.


Role/Team Overview

Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, we are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extract value from our data assets and maximise customer value.


What You’ll Do

  • Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms: work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience
  • Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems.
  • Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions
  • Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky
  • Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches.
  • Responsible for identifying the best analytical techniques, developing the solution, creating a framework for testing the solution and measuring the incremental value to the business from the solution

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.


What You’ll Bring

  • Strong track record delivering end-to-end data science solutions (preferably B2C) in cloud environment
  • Deep expertise in machine learning and statistical modelling, with proven impact in areas like personalisation, churn, pricing, and optimisation
  • Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholders are essential
  • Commercial knowledge and applications of data science to drive commercial value is a must – everything we do drives value into the business
  • Hands-on experience with Generative AI and LLMs, including prompt engineering, fine-tuning, evaluation, and production deployment
  • Strong command of modern data stacks, including Python, SQL, Spark, BigQuery, and Snowflake
  • Clear communication skills, able to explain complex AI concepts, including LLMs and agentic systems, to both technical and non-technical audiences

Benefits and Perks

There's one thing people can't stop talking about when it comes to: 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

We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week.


Osterley

Your office space:

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon.

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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.


Who We Are

We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society.


We’re an Equal Opportunity Employer

We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited 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 as early as you can.


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.

To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position.

To find out more about working with us, search on social media.

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Skills

Machine Learning
Statistical Modelling
Generative AI
LLMs
Prompt Engineering
Python
SQL
Spark
BigQuery
Snowflake
Predictive Algorithms
Data Science
Agentic Systems
Cloud Computing
Problem Solving
Stakeholder Management

Location

London, England, United Kingdom

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