# Welcome to the UCL DSS!
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Data Science is not itself an end - it’s a means to an end. We aim to help our community understand the potential of this tool, and pass it forward.
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The potential of this tool lies in its versatility: its limits are the wielder’s. We seek to help our community expand their limits, and be able to use Data Science to generate value.
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To generate value, our community must become part of the larger Data Science community around the world. That’s why, through direct exposure to industry challenges and employers, we strive to embody and strengthen that link.
An opportunity to put your skills to the test with real-world challenges from our sponsors
UCL AI Conference
A conference with top-of-the-line speakers across industry
Inspire to Code
A series of volunteering sessions to teach code to children in local schools
Stay tuned for updates!
We will match you with other people intereted in Data Science based on your skills and objectives.
Here you will find content from our workshops so you can catch up with them or look at the next ones.
We will strive to provide you with the latest news on Data Science to make sure you stay ahead of the curve.
Put your skills to the test by taking part in challenging analysis of data sets and earn special prizes.
We will boost your awareness of Data Science related opportunities, with regular updates of internship offers.
You, as a member, will be able to steer the direction of the society and the portal with your feedback.
The magic behind your card
Transactions have never been so simple: tap or swipe, and in the blink of an eye, you’re holding a bag in your hand with your desired good. Simple, right? Not quite.
In this event, the Head of External Affairs and the Data Nerd of VISA’s Data Science Lab delve into the intricacies of payment processing that lie behind the curtains, and how data science is being used to identify security breaches in payments, optimize interconnected processes through payment data, and facilitate access to payment processing across the world.
YOOX Net-A-Porter group
Data Science & Fashion
It always seems to simple: we browse our perfect fashion recommendations, click to buy, and sooner than we know it, we have the latest fashion trend at our front door. But there’s a lot of math behind this magic.
In this event, we host the YOOX Net-a-Porter group to tell us about the role that Data Science is playing to re-define the workings of the fashion industry, and optimize the customer’s search for garments according to their historical search patterns and interests.
Meet the Comm(un)ittee!
Get a chance to talk to the committee behind the data science society! With pints on us, the event is sure to give you a chance to meet some new faces when the year starts.
We follow the journey of Thomas Gizbert, a UCL alumni from a humanities background as he found his calling for data science and analytics.
In this speaker event, Thomas explored the changing dynamic of the data science industry, and more specifically the way in which data science is being adapted in the consulting and social media industries.
Data science case studies
Ever wondered what projects data scientists are working on a day to day basis?
William Browne, senior data scientist at the Boston Consulting Group goes through exciting data science projects such as statistical significance of e-commerce web metrics, deep learning and natural language processing, and clustering techniques used for scanning through company reports and newspapers.
AI & Healthcare
Our finale event of the year and one of our largest events of the year touched on topics including the representation of women in the technology sector with Rebecca Pope, senior data scientist at KPMG. Rebecca talks about why diversity is needed in the
technology and data science sectors and how KPMG is taking strides in female empowerment.
Rebecca then explores the various exciting projects she undertook in her academic and professional life, such as working with the NHS to use hospital categorization data and APIs to produce a ambulance routing system for stroke patients. Data science concepts such as confusion matrices, Hadoop stacks, contagious scores and Monte-Carlo distributions were discussed in relation to the healthcare and AI industry.
Followers on Facebook
Students reached on Facebook
Events last year