Be committed: create and impact
Knowing the challenges is one thing, acting upon them is another. Building upon a shared understanding, the second step to drive change are genuine efforts towards creative innovation. This is why we provide members of the community the opportunity to tackle the challenges they are eager to solve at the NEO Labs. These are organized workshops that take place once every year where members from circles of peers and elect themselves into the the think tank to embrace design thinking, break with existing norms and policies and experiment with new ideas and approaches – to turn thorny challenges into viable opportunities.
LAB A: THE DATA SCIENCE CHALLENGE
SHAPE THE LATEST DISRUPTION IN DATA SCIENCE
LIONSTEP is a StartUp that uses Data Science and AI to disrupt the IT recruiting sector. With clients across Europe, and datasets of over 37 million candidate profiles, LIONSTEP is a specialist in turning the latest research into useful products for its clients.
Mentoring during the project, internship opportunities at our company, career advice and placement help to work at top companies.
You will build a model that matches candidates with job posts. You will have access to a large number of anonymised CVs, parsing technology and a training set containing: (1) expert evaluations of the matching between selected candidates and job posts and (2) the result of the hiring process for a subset of candidates.
We aim for data/computer scientists enrolled in a Master with interest in Data Science and AI.
Kick-Off: OCTOBER 26TH, 2017 @ 18:00 IN ZURICH
Project Duration: ACCORDING TO YOUR MOTIVATION!
«At NEO, we are eager to address tomorrow’s challenges.»
Apply for Labs
This application form allows you to apply for the lab sessions (notice: places are limited). You hereby also express your interest to attend the lab. If you would like to be part of one of our events, please fill in your details in this registration form below and you will be automatically registered. You will hear back from us as soon as possible.