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Senior Data Scientist

Sky UK

Senior Data Scientist

Salary Not Specified

Sky UK, City of Westminster

  • Full time
  • Permanent
  • Onsite working

Posted 3 weeks ago, 15 May | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: fff70268d58e462eae2e577b5c0ad0ea

Full Job Description

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

  • Develop advanced analytics algorithms 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

    Expertise in at least two advanced analytical areas including, but not limited to Predictive Modelling, Optimisation, AI and Graph Analysis

  • Experience building and deploying advanced analytics solutions at a large scale (preferably B2C) cloud environment

  • Ability to quickly understand a business objective, problem solving to create an analytical solution and stakeholder communication are essential

  • Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business

  • Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is desirable

  • Experience in data engineering, data modelling for advanced analytics, data processing on cloud, model management and app deployment on cloud is desirable


    • Skills
  • Programming for modelling and/or data analysis, ideally Python (essential)

  • Experience with Machine Learning libraries such as scikit-learn, XGBoost, Keras, Tensorflow etc. (essential)

  • Experience using SQL for data extraction, feature development etc. (essential)

  • Experience creating machine learning pipelines including raw data, features, model building and testing (essential)

  • Experience on Google Cloud Platform e.g. BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable)

  • Experience deploying machine learning pipelines for real-world applications (useful)

  • Experience with big data solutions e.g. Spark, Hadoop, MapReduce (useful)

  • Other programming experience e.g. SAS, C++, JavaScript (useful)


    • Analysis:
  • Machine learning - Supervised/unsupervised learning, regression, neural networks, decision trees, random forests, boosting, SVM, clustering (essential)

  • Deep learning - CNN, RCNN, LSTM, Autoencoder (desirable)

  • NLP/Text mining - Bag of Words, text embedding, sentiment analysis (desirable)

  • Statistical modelling- GLM, Bayesian hierarchical models (useful)


    • Soft skills
  • Excellent communication with both technical team members and non-technical stakeholders

  • Ability to break down complex problems into manageable tasks