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Senior Data Scientist

TieTalent
Potters Bar
1 week ago
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Senior Data Scientist

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Senior Data Scientist Job Specification
We believe in better. And we make it happen.

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 here at Sky.

About Us
Join us to rethink how sports are experienced. Backed by our new AI-driven platform, we will be building live sports experiences to be more immersive, more personalised - giving fans a chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you\'ll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. It\'s a space that rewards creativity, flexibility, and a hands-on approach. If you enjoy working iteratively, experimenting with new techniques, and solving open-ended problems, you\'ll feel right at home.

What You\'ll Do
The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to deliver new innovative sports-focused products to Sky\'s significant customer base of sports fans. Identify trends in large datasets and develop models that can predict future outcomes. Communicate insights effectively with stakeholders across the organisation and implement data-driven recommendations.

Responsibilities:

  • Develop predictive models using advanced statistical techniques (e.g., regression, classification, clustering).
  • Analyse large datasets to uncover patterns and relationships between variables.
  • Collaborate with stakeholders to understand needs and develop data-driven solutions.
  • Own the full lifecycle of ML solutions — design, deployment, and maintenance in production.
  • Monitor model performance over time and adjust parameters for optimal results.
  • Stay up-to-date on industry trends and best practices to propose new approaches.
  • Build and integrate cloud-native components to expose models as scalable endpoints and publish inference results as events for downstream systems.
  • Establish and maintain robust MLOps practices, including CI/CD, monitoring, retraining strategies, and automated testing.
  • Mentor and guide junior data scientists and engineers on productionising machine learning.

What you'll bring

  • Collaborative mindset with the ability to work across disciplines and contribute creatively.
  • Understanding of large language and multi-modal models.
  • Strong experience in Python, Docker and cloud-based environments (ideally AWS).
  • Background in data analysis and machine learning with proven end-to-end ML system experience (3+ years).
  • AWS Machine Learning Certification desirable.
  • Experience using Infrastructure-as-Code to deploy ML solutions on AWS.

The rewards

  • Sky Q, for the TV you love all in one place
  • Sky Glass at an exclusive rate
  • Generous pension package
  • Private healthcare
  • Discounted mobile and broadband
  • Sky VIP rewards and experiences

Inclusion & how you\'ll work
We are a Disability Confident Employer and welcome applications from all candidates. We will ensure a fair and consistent experience and provide reasonable adjustments where appropriate. Please flag adjustments with your recruiter early. We operate a hybrid model with a mix of office and remote work. Details on hybrid arrangements will be shared during recruitment.

Your office space
Osterley — our Osterley Campus is a short walk from Syon Lane station, with shuttle buses to nearby stations. On campus you\'ll find restaurants, cafes, a cinema, gym facilities, and more.

We\'d love to hear from you
Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. We value differences, support our community, and contribute to a sustainable future.

If your application is successful, you may be asked to complete a criminal record check. Depending on the role and any convictions, the offer may be withdrawn.


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