Whether you're already a budding pythoneer / pythonista, have never written a line of code in your life, or just want to find out what the hype’s all about, DS@LSE is the place for you! We hold regular talks and networking events with our partners, letting our members engage with industry practitioners and experts in the field. This year, we’re excited to work together with London Stock Exchange Group, Jane Street, KPMG, IBM, FNA and TrueCue as partners. We'll also be hosting speakers from a range of industries, including financial services, consulting, tech and non-profits. If you're interested in machine learning but aren't sure where to start, our education team holds fortnightly workshops teaching coding and machine learning techniques. For those who've already got some experience, you can join one of our Projects team’s projects, where you’ll work on a data science problem with a team, and potentially our industry partners. To get involved with our society, simply purchase a membership and attend our events. You can also join one of our 5 subcommittees: Events, Partnerships, Projects, Education and Marketing. Recruitment opens shortly after the start of Michaelmas Term. MEMBER BENEFITS After becoming a member, you’ll be able to: Take part in our projects Join a subcommittee Run or vote for Exco positions in Lent Term Be registered on our weekly mailing list, where you'll receive career opportunities from our sponsors and partners, as well as information on upcoming events Gain access to IBM Skills Academy, where you can take courses, exams and get certified by IBM Receive discounts on society merch Attend our socials, member-exclusive networking opportunities/office visits, and more! EVENTS/ACTIVITIES 2021-2022 Flagship datathon: A 2-day coding event in LT - work on a data science problem, win cool prizes and network with our sponsors! Career Panels/Networking Events: Finance, Consulting, Non-profit and Government, and Big Tech Projects: Learn by working on a data science problem with a team of like-minded individuals and build your data science portfolio Education: Workshops on coding and machine learning every two weeks. Speaker Events Socials ... and more! You can find more information and a calendar of events on our website.