This is a profile from the 2022 version of the DataIQ 100.
The latest list is available here.
What has been your career path to date?
My commercial career has focused on customer behavioural data science, building machine learning models and artificial intelligence (AI) systems from data on how customers behave, what they are interested in and what motivates them. My last role prior to Specsavers was lead data scientist at Wiggle CRC, the cycle and triathlon online retailer. I developed Wiggle’s data science strategy and built AI systems to support personalisation in marketing. Prior to that, I worked as a senior data scientist in the customer analytics team at Carnival Cruises UK, where (among other things) I was the data science lead for the marketing effectiveness programme and built the customer loyalty forecast AI system.
My educational background is in Physics, with a PhD in Astrophysics. My first role out of university was the transition point for me from physics into more commercial data science. I worked for a company that used the physics of mobile phone signals (not wildly different to the physics of telescopes) and AI systems to analyse people’s behaviour in shopping centres. It turns out customer behaviour is far more interesting than electrons!
What made you choose data as your career focus?
I wanted to do something with the skills I learned in my PhD - I really enjoyed analysing data, finding patterns, discovering new things, and telling stories with data. I found some data science roles while hunting for a post-PhD job, found them interesting and haven’t looked back! As a career path, data science has allowed me to hone my technical skills and become a better scientist while also bridging that gap between technical and non-technical audiences. The outcomes of my work are much more tangible than what I did in my PhD - I find great satisfaction in the influence and changes that I see in organisations as a result of my work.
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