Data Scientist

  • 35061
  • Non-Life - Data Science
  • |
  • United States
  • |
  • 5 days ago
  • Writing code for data exploration, cleansing, manipulation and analysis.
  • Developing clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualization tools and face-to-face client meetings.
  • Client interaction as appropriate.
  • Provide feedback to ensure continuous improvement with the team.
  • Providing informal coaching and guidance to junior team members.
  • Actively participating in learning forums and sharing knowledge with the wider team.
  • A degree in a quantitative discipline e.g. actuarial studies, mathematics /statistics, engineering, computer science etc.
  • 2+years’ experience in a highly technical analytics environment, carrying out data analytics with large, complex datasets; retail industry experience strongly preferred.
  • Coding and modelling experience in SQL/R/Python and/or big data platforms.
  • Experience delivering against projects, tasks and activities in a dynamic deadline driven environment.
  • Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches.
  • Ability to clearly communicate technical concepts to a non-technical audience.
  • A natural aptitude for problem solving.
  • Easily adaptable in a fast-paced environment.
  • Innovative / outside the box thinking.