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Senior Data Scientist



12d ago

  • Job
    Senior Level
  • Data
  • London
  • 2d left


  • Ability to proactively reframe ambiguous business questions, define and execute hypothesis-driven analysis to address business questions, issues, and opportunities using more complex statistical concepts and can derive a project plan to deliver a product that resolves the business question
  • SQL and Python coding skills using software development principles
  • Database experience and good knowledge of combining internal and external data sources together for modelling
  • Advanced knowledge in statistical modelling methods – predictive modelling, trend analysis, unsupervised models etc
  • Can clearly articulate ideas with non-technical language and present a simple story to a wide audience
  • Demonstrate brilliant listening skills to understand and influence the needs of your stakeholders and customers
  • Deploying DS models in the cloud environment (Azure preferred) desirable
  • PySpark coding skills desirable


  • Responsible for identifying, building, validating, optimising and managing complex models and data pipelines
  • Responsible for the data science lifecycle of your products including deployment into production, testing, CICD, documentation and security considerations - Generating and delivering new opportunities to improve customer experience via Data Science
  • Be the expert in an area and use it to support and grow the whole team – e.g. specific models, Azure environment, PySpark code optimisation
  • Coaching and mentoring junior colleagues and peers in Data Science practices
  • Integration and analysis of diverse data from multiple sources using statistical methods to identify trends, expose new opportunities, and answer ongoing business questions
  • Champion continuous improvement within the team by helping others to identify their development areas as well as achieving your own important learning plan
  • Continuously look for innovative ways to improve our products
  • Good understanding and use of internal and external datasets and share this knowledge openly
  • Promote the importance of data openly across the company
  • Encourage collaboration and communication between teams across the delivery tribes, and promote a culture of giving, receiving and adapting due to feedback throughout the chapter
  • Identify resolution paths and possible opportunities to solve unstructured problems and articulate specific research questions to form analytics project ideas and project plans to delivery
  • Take responsibility for decisions that you make within your projects and able to clearly explain your reasoning

Retail & Consumer Goods
Founded Year

Mission & Purpose

One of the world’s largest retailers of consumer goods from food to fashion. Serving our customers, communities and planet a little better every day in our stores and online is at the heart of everything we do. Founded in 1919 by Jack Cohen using the £30 he received on leaving the Royal Flying Corp, we’ve come a long way from his small market stall in East London. Today over 400,000 colleagues work across our stores, office, distribution and customer engagement centres in the UK, Europe and Asia. Share our passion for the people, products and places that make us great, and we can offer the right support to develop your skills.