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Damian is the Design Lead at �㽶��Ƶ. He’s responsible for designing all aspects of �㽶��Ƶ’s products and is the voice of the user during the decision making process. In this feature, he challenges common assumptions about the true meaning of “design” in the product development process and shares some of his key experiences.

We love sharing our expertise in advanced data science and fostering upcoming talent. Our internship program is a key part of �㽶��Ƶ; here, we hear from one of our winter 2022 Data Science interns Nathan Wooster to hear about his experience with us and his journey into data science.

Can retailers use AI to get ahead of their competition? Isabel Scavetta is a Product Manager in our London office, whose main focus at �㽶��Ƶ is bridging the gap between the capabilities of our advanced analytics and the everyday business needs of our clients. In this feature, she reflects on her experiences building AI products and the importance of translating advanced analytics into actionable insights for business leaders.

We’re always looking for new ways to challenge our ways of thinking, and to share our expertise in advanced data science and engineering. A huge part of this discovery and learning journey is our internship program. Here, we hear from one of our summer 2022 Data Science interns Thea Barnes to hear about her experience with us, and her advice for students looking to break into careers in data science.

What can we learn from applying the advanced analytics methods used in Formula 1 to the world of eCommerce optimisation?

Alex Santos is a previous F1 engineer turned �㽶��Ƶ Data Scientist, who is inspired by the use of data to increase our confidence on the decisions we have to make every day: reducing stress and increasing our output.

In this feature, we explore about his transferable learnings from the motorsport world to �㽶��Ƶ’s eCommerce optimisation offering.

As a team, we’re incredibly people-focused. We love developing and building our talent, whilst giving members opportunities to stretch and challenge themselves in new areas. In this feature, we spend some time with one of our summer 2022 Data Science interns Nadira Mason to hear about her experience with us, and her advice for students looking to break into careers in data science.