👋 Hey, We're Founders Factory
Founders Factory is improving the odds of startup success, empowering anyone to impact the world through entrepreneurship.
We’re changing the venture model, trusting our ability to make a real difference to the companies we invest in. Our platform gives entrepreneurs market access to multi-national corporates, and bespoke operational support from a big and brilliant team. This allows us to do things that don’t scale, tailoring a program to every startup that joins. Letting our startups tap into skills they need but can’t yet access.
All of this is funded by our corporate partners, but their role is not simply cash. They bring the best bits of their businesses to our startups - validation, distribution, insight and capital. These are ingredients that startups others don’t have, which is why you see startups here that can not exist anywhere else.
We’re here so founders who see the future differently get the skills they need to make it a reality. We’re proud to back founders others wouldn’t and we back ourselves to make them successful. We know the biggest impact comes from those that don’t fit the mould so we’ve made Founders Factory their home.
As we expand, our incubator and accelerator companies require more than ever data science support and now we are looking for another Data Scientist to join our team. This will include meeting with our portfolio companies, working with their engineers to build their data pipelines and assist with the implementation of AI/ML algorithms. You will also spot opportunities to leverage the companies’ internal data and discuss with the Founders Factory team ways to improve their roadmap.
This is an amazing opportunity to work with an extremely varied portfolio of ambitious AI startups, from Robotic Restaurants to Industrial Inspection, from Orbital Image Recognition to Customer Service automation, from AI-enabled Product Design to Scientific Discovery tools. The successful candidate will work closely with the Chief Scientific Officer, Jeffrey Ng, who follows our portfolio from a strategic perspective.
This role will suit candidates who have built data pipelines, AI and ML systems and now want to work with more companies, each with their own different domains, products and infrastructure, in one interconnected network. Mentoring and coaching will be available on technical AI/ML aspects and also how to work with a big portfolio.
There is large scope to help an amazing range of data-driven and AI companies from the bottom up and to broaden your horizons.