Ben Dias | Data Science and Analytics Director
easyJet

Ben Dias, Data Science and Analytics Director, easyJet

Ben is currently leading the delivery of easyJet’s Data strategy aimed at realising the company’s ambition of becoming the world’s leading data driven airline. Previously having worked at Royal Mail, Tesco and Unilever, he has over 15 years’ industry experience in solving real-world problem in an industry setting. More recently, Ben has focussed on building and leading Data Science teams and applying the Lean Start-Up approach to Data Science within large organizations. He is experienced in setting up and managing industrial research collaborations with academic and business partners. He is also actively engaged with the UK Mathematics community and very enthusiastic about inspiring the next generation of Mathematicians and Data Scientists. Ben holds a PhD in Computer Vision and an MSci in Mathematics and Astronomy, both from UCL.

Appearances:



World Aviation Festival Day 1 @ 15:10

Data Science Panel: How can airlines find new data sources to create a more complete single view of operations and support real time and agile decision making?

  • Has the pandemic enforced a more data driven way of reacting and what new data sources can we farm to help predict the future during times of uncertainty?
  • What are the challenges of scaling data and getting through the noise to gain actionable insights?
  • How have you used the pandemic to refine your data strategies and push this out across the business on both the operational and commercial sides?
  • In what way can data science help when it comes to disruption management and irregular operations, especially when real time and predictive intelligence technologies are getting smarter?
last published: 12/Nov/21 11:16 GMT
last published: 12/Nov/21 11:16 GMT
last published: 12/Nov/21 11:16 GMT
last published: 12/Nov/21 11:16 GMT
last published: 12/Nov/21 11:16 GMT
last published: 12/Nov/21 11:16 GMT
last published: 12/Nov/21 11:17 GMT
last published: 12/Nov/21 11:17 GMT
last published: 12/Nov/21 11:17 GMT
last published: 12/Nov/21 11:17 GMT
last published: 12/Nov/21 11:17 GMT
last published: 12/Nov/21 11:18 GMT
last published: 12/Nov/21 11:18 GMT

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