Senior Data Scientist
Role details
Job location
Tech stack
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."
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What you'll do -" "
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Responsible for developing and driving actionable customer intelligence from our core data assets using advanced analytics "" "
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Develop AI & machine learning solutions exploiting our rich data assets including product holding, demographics, product usage, customer service interactions and customer metrics " "
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Develop predictive models for churn prediction, lifetime value estimation, customer segmentation and other consumer-focused use cases " "
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Collaborate with stakeholders to define project objectives , develop analytical frameworks, and translate business requirements into analytical solutions " "
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Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions for managing customer treatments at Sky " "
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Strengthen our internal data science capabilities by continuously innovating and driving new ideas , engaging in training and development of our people " "
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Leading projects with 1-2 team members, planning tasks and delegating appropriately " "
Requirements
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Strong experience in advanced analytics and machine learning including forecasting, predictive modelling, optimisation, clustering and modern AI techniques such as generative AI
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Proven track record of building and deploying large-scale AI/ML solutions in cloud environments
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Ability to quickly understand business objectives , solve complex problems and communicate insights clearly to senior stakeholders
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Excellent programming skills in Python with experience in frameworks such as TensorFlow, PyTorch and Scikit-learn and knowledge of MLOps for production deployment
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Hands-on experience with key machine learning methods including regression, decision trees, ensemble models, clustering and modern deep learning (e.g. transformers, LLMs)
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Familiarity with state-of-the-art approaches like generative AI, reinforcement learning and advanced feature engineering for real-world applications