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Emma Presley

Lead Data Scientist - Service Design
DWP (Confirmed)

Emma is Lead Data Scientist supporting Service Design for Universal Credit at the Department for Work and Pensions. She leads a team of Data Scientists to support the design, development and build of the Universal Credit digital service. Before joining the Civil Service, her career in Data Science spanned sectors from FMCG and Fashion to Finance and TV, with a particular expertise in using data to understand the behaviour and preferences of audiences and consumers. Emma is particularly passionate about achieving gender diversity in Data Science at DWP.

  • Embracing the value and importance of a diverse workforce for AI, and should work together to break down stereotypes and broaden participation
  • Considering the leadership and cultural change needed to achieve upskilling the public sector workforce and introducing more agile and collaborative ways of working for data scientists
  • Providing strong leadership by developing a clear career model and development for data scientists
  • Developing the skills, resources and project management training needed to exploit the opportunities offered by the explosion in digital data
  • Addressing the skills gap: Understanding how the EU exit will create the need for more 346,000 more data scientists by 2020
  • Discussing the need for GDS’ investment of £450m annual budget embedding data analysts and scientists in councils
  • Establishing a list of 10 principles that will enable machine learning and embed good practice for service automation