Senior Data Scientist

Sky UK
Charing Cross, United Kingdom
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Computer Programming
Python
Machine Learning
TensorFlow
Reinforcement Learning
Feature Engineering
PyTorch
Large Language Models
Deep Learning
Generative AI
Core Data
Scikit Learn
Machine Learning Operations

Job description

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 -" "

  • Responsible for developing and driving actionable customer intelligence from our core data assets using advanced analytics "" "

  • Develop AI & machine learning solutions exploiting our rich data assets including product holding, demographics, product usage, customer service interactions and customer metrics " "

  • Develop predictive models for churn prediction, lifetime value estimation, customer segmentation and other consumer-focused use cases " "

  • Collaborate with stakeholders to define project objectives , develop analytical frameworks, and translate business requirements into analytical solutions " "

  • Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions for managing customer treatments at Sky " "

  • Strengthen our internal data science capabilities by continuously innovating and driving new ideas , engaging in training and development of our people " "

  • Leading projects with 1-2 team members, planning tasks and delegating appropriately " "

Requirements

  • Strong experience in advanced analytics and machine learning including forecasting, predictive modelling, optimisation, clustering and modern AI techniques such as generative AI

  • Proven track record of building and deploying large-scale AI/ML solutions in cloud environments

  • Ability to quickly understand business objectives , solve complex problems and communicate insights clearly to senior stakeholders

  • Excellent programming skills in Python with experience in frameworks such as TensorFlow, PyTorch and Scikit-learn and knowledge of MLOps for production deployment

  • Hands-on experience with key machine learning methods including regression, decision trees, ensemble models, clustering and modern deep learning (e.g. transformers, LLMs)

  • Familiarity with state-of-the-art approaches like generative AI, reinforcement learning and advanced feature engineering for real-world applications

About the company

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.", 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." " 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."

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