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Data Scientist

2 months ago

Chichester, West Sussex, United Kingdom JD Sports Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at JD Sports, a leading omnichannel retailer of Sports Fashion, Street & Premium Fashion, Outdoors and Gyms. As a Data Scientist, you will play a key role in developing and deploying core machine learning algorithms to tackle data science challenges within our organization.

Key Responsibilities
  • Translate business requirements into data science use cases
  • Apply advanced statistical, mathematical and machine learning modelling techniques for predictive modelling, and performance optimization/measurement
  • Support all aspects of a data science project lifecycle, starting from scoping, data gathering, pre-processing, dimensionality reduction, hyperparameter tuning, modelling, evaluation, deployment, documentation, industrialization and performance monitoring
  • Apply data science techniques to support measurement of media effectiveness
  • Collaborate with D&I and other business teams to develop data products that allow us to embed the use of data science directly in our processes
  • Leverage data to extract valuable insights and drive data-informed decision-making within an organization
  • Responsible for developing and implementing machine learning models, conducting advanced statistical analyses, and solving complex business problems using data-driven approaches
Requirements
  • Graduate, Postgraduate or Ph.D in STEM field (preferably Maths, Stats, Computer Science, Data Science, AI/ML)
  • Solid understanding of classical machine learning algorithms like Regression (linear, non-linear, Ridge, Lasso), Classification, Gradient Boosting, Gradient Descent, Segmentation
  • Familiarity with neural networks, NLP, Tensorflow, Reinforcement learning, will be appreciated
  • 1-3 years of industry work experience in the field of data science/AI/ML
  • Good programming skills in Python
  • Skilled in using database querying language like SQL
What We Offer
  • Incremental Holiday Allowance
  • Staff Discount on qualifying purchases across Group retail stores and online
  • Exclusive Colleague Bike Discount scheme
  • Discounted Gym membership
  • Personal development opportunities to learn and develop at work
  • Access to Apprenticeships and accredited qualifications