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Senior Data Scientist

  • Data Science
  • London
  • Permanent
  • £80,001-£100,000
  • About the role

    Senior Data Scientist – Forecasting (Time Series)– Retail – London £85k

    Are you a Data Scientist who has experience developing Time Series Forecasting models?

    Who are we?

    We’re one of the UK’s biggest retailers and we’re looking for a Senior Data Scientist to join our Data Science team who are working on modelling business problems including loyalty cards, online pricing, security, fulfilment and deploying products at scale.

    What should my background look like?

    You’ll come from a strong statistical analysis/mathematical background with experience in developing Time Series models for forecasting, prediction and inferences. 

    You’ll have experience in designing and developing Time Series forecasting models and applying them to large datasets to solve real world business problems.

    You have experience of explaining your models, processes and output to non technical colleague

    What skills should I have?

    As our Senior Data Scientist you will have:

    • At least 2 years experience developing probabilistic models (Monte Carlo, Markov Chain, MCMC, Regression etc)
    • You’ll have at least 2 years’ experience with Time Series Analysis for (ARIMA, SARIMA etc)
    • Experience with Python Machine Learning libraries (NumPy, Pandas etc)
    • At least 3 years Python programming experience
    • Experience applying models to Big Data
    • Familiar with the principles of Continuous Integration and Deployment


    What’s on offer?

    There’s a generous base salary of up to £85k on offer alongside a generous package which includes, up to 20% bonus, up to 7.5% matched pension contribution, extensive healthcare and wellness program and flexible working. This position will have flexible working but you will be required to attend one of our offices (London/Hertfordshire) 3 x per week from September.

    How do I find out more? 

    If you feel this is the role for you or would like to find out more get in touch by clicking the ‘apply now’ button or get in touch with me by the following:

    • Email me at
    • Call me on 01412250189