Join ICDSS events to bridge the knowledge gap between university-level knowledge and industry or
cutting edge research.
Our society is dedicated to connecting Imperial's broad student base with industry, allowing our members to gain exclusive knowledge of how data science is applied in the field. We also host talks from our very own Data Science Institute, where academics introduce their cutting edge research and futuristic insights. These events attract a wide variety of individuals from our large and diverse member base, including masters, final-year students and undergraduates getting a first taste of data science.
Apart from workshops and the AIHack, our committee members have been working hard to create events and to support your interest in data science amidst the uncertainty caused by COVID-19. Though many of our events may be pushed online, we have taken this opportunity to tweak, finetune and review our strategy for the year. Do look out for some of the new events this year:
5 February 2020 — Shell, one of the largest oil 🛢companies in the world, came to our campus to give an insight into the exciting projects they are working on, which involve solving a wide range of business problems using the cutting edge in data science. Our members got the opportunity to chat with Shell data scientists and recruiters and asked about the range of opportunities they offer.
9 January 2020 — Expedia is the world's travel 🧳 platform with a purpose to bring the world within
reach. Today, technology is at the core of what Expedia does. Expedia is no more just a travel company;
they're a tech company that does travel.
Expedia Group came to our campus to give an insight into the exciting projects they are working on, which involve solving a wide range of business problems in travel and beyond using the cutting edge in data science. They also advertised their summer internship programme for final year MSc students.
27 November 2019— nPlan talked about how they are reforming construction project 👷🏾♀️planning through the use of machine learning. Their company's focus was to improve the decision quality 🚧of future operations by considering historical data, resulting in being named one of the 15 ML companies to watch in Europe in 2019. For the talk, Alan Mosca, nPlan's CTO discussed the challenges they have faced while working with large datasets and delivering engineering 🏗 solutions early on.
Multiple dates — Past talks from the Imperial Data Science Institute involved topics such as ethics 🤔, computational privacy, data privacy 🔒, data efficiency ⏩etc. We had the pleasure of inviting the founding director of the Institute, Professor Yi-ke Guo to host some of these talks.