Ryan Llewellyn

Senior Data Scientist at HyperFinity

Ryan Llewellyn has a diverse work experience spanning multiple industries. Ryan started their career in 2011 as a Fresh Foods Assistant at Waitrose & Partners. From 2016 to 2020, Ryan worked as a Postgraduate Teaching Assistant at the University of York. In 2020, they joined ENGIE UK & Ireland as a Data Scientist and held the position until 2022. Currently, Ryan is working as a Data Scientist at HyperFinity, where they aim to make decision intelligence accessible to all retailers and brands.

Ryan Llewellyn completed their education with a Doctor of Philosophy (Ph.D.) in Experimental Nuclear Physics from the University of York from 2016 to 2020. Prior to that, they obtained an MPhys degree in Physics from the University of Liverpool between 2012 and 2016. Ryan's high school education was completed at Oakwood Park Grammar School from 2004 to 2012. In addition to their formal education, they also obtained certifications in "Python for Data Science and Machine Learning Bootcamp" from Udemy in February 2023 and "The Complete SQL Bootcamp 2022" from Udemy in September 2022.

Location

Leeds, United Kingdom

Links


Org chart

No direct reports

Teams


Offices


HyperFinity

We use decision intelligence to help retailers sell the right products, to the right people, for the right price. Our HyperFinity SaaS product democratises the use of advanced analytics to generate deep customer insight and to make data driven decisions across key business areas. At the core of our product is a super-fast, cloud-based architecture that enables ETL, feature engineering and machine learning all in one place. Our analytics engine performs affinity analytics and attribution at extreme speed to create and understand customer need states, using anonymised, multi-channel customer data. It predicts the impact of decisions, such as where demand will be transferred to if a product is removed from or substituted in a range or what is the optimal combination of products for individual stores, based on the customers who shop there. And our easy to use, highly visual UI gives non-technical people access to powerful insights from data science, which help them make improved, customer led decisions. Our solutions are backed by our own knowledge and experience gained in leading consumer businesses, such as Asda, Walmart and Sky, plus innovative data, analytics, and technology companies. We offer expert and pragmatic guidance on applying our products, not leaving you to figure it out on your own. In parallel with our SaaS product, we deliver expert retail data science and data strategy consulting on either a project or retained basis.


Industries

Employees

11-50

Links