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Senior Data Scientist

Posted: 11 Nov 2020 Closes: 11 Dec 2020
London, England, United Kingdom Competitive
Permanent & Full-time -1578074982


A Senior Data Scientist is required to join the Data team and will primarily be focused on improved customer engagement, retention, next best action and wider customer experience offerings. This role will be highly collaborative with business teams such as Loyalty, CRM, Customer Relations, and Private Shopping - whilst working within Tech with Data Engineers, other Analysts within a Product lead delivery team.


  • Develop, maintain and iterate predictive models across the wide Customer Intelligence delivery roadmap
  • Perform advanced analysis providing segmentation and classification for improved business decision making and actions
  • Develop and support business model testing to validate models through hypothesis testing
  • Maintain and support Data Science models through good MLOps practices using Databricks MLFlow


You are a passionate and expert Data Scientist having excellent analytical and technical skills and a background covering several successful project deliveries including within the Customer insights space.
  • Expert Data Scientist with a strong Computer Science/Mathematics/Statistics background (ideally PhD level)
  • Expert Machine Learning practitioner (including Deep Learning)
  • Experience with AWS cloud services or other Cloud platforms
  • Experienced software development/engineering skills
  • Expert in Python, R, SQL (and/or other analytical focused language Julia, MATLAB)
  • Possible proficiency with Scala, Java, Extensive experience in database development across a variety of platforms.
  • Tensorflow or other similar framework (Pytorch) experience
  • Containerisation expertise - Docker, Kubernetes
  • Experience with REST web services and APIs
  • Experience in MLOps and post-production model governance
  • Capable of translating complex technical problems and presenting to wider audiences
  • Worked within a customer centric Data Science role previously
  • Eagerness to guide and line manage less senior members of the team
  • Databricks experience and exposure (including MLFlow).
  • Automation - DevOps practices including CI/CD (Jenkins, Terraform, Cloud Formation, etc).
  • Data Engineering proficiency with Spark
  • ECommerce background
  • Previous experience with lifetime value and churn prediction

Core Technologies and Skills:
  • Programming - Python, R, SQL, Scala
  • Machine Learning - Supervised/Un-Supervised, Deep, Reinforced Learning
  • Maths/Statistics
  • Exp. With Customer behavior analysis in prev roles.


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