Data Scientist (Portfolio)

Team: Factory - Data Science (Full-time)
Location: London, United Kingdom

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    👋 Hey, We're Founders Factory

    We're the world’s best partner for founders. Started by Brent Hoberman and Henry Lane Fox, Founders Factory has received investment from L’Oreal, easyJet, Guardian Media Group, Aviva, Holtzbrinck, CSC and M&S. We have also launched in Johannesburg with Standard Bank. Combined with our full-time team of 70 specialists we offer founders the best platform to launch or scale their startup.

    Our incubator creates 13 new startups every year. We validate ideas, build founding teams, find first customers and invest directly in each startup. Our accelerator invests in 35 startups every year. We invest cash, six months of bespoke support from our team and provide commercial opportunities with our investors. We're also Europe's Hottest Startup Accelerator according to the Europas, read more here.

    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.

    Responsibilities

    • You will be working our accelerator and incubator businesses on data pipelines and AI implementation
    • You will spot opportunities to use data and algorithms in novel ways.
    • Work with startups in the accelerator and incubator companies to identify their data science capability gaps;
    • Work with existing portfolio engineering teams to enhance the use of data science/ML to have a positive impact on their overall businesses
    • Work with our CSO to spot the opportunities and challenges in our portfolio companies

    Requirements

    • Any of Recommender systems, Natural Language Processing and Understanding, or Computer vision and Image Recognition systems
    • Experience of deploying data infrastructure to production systems
    • Have high emotional intelligence and empathy for our founders and their teams as well as for your fellow colleagues in the founders factory operations team
    • Be organised with a strong attention to detail and an ability to balance detail with the big picture
    • Have good communication and interpersonal skills, both written and verbal
    • 1-2 years experience, especially deploying commercial data science/ML projects and working collaboratively with team members
    Salary: Up to 65K

    📈 Benefits

    We provide all the excitement and freedom of an early stage startup but with the stability and resources of a large organisation. This is your rare chance to contribute across the full business spectrum to become a founder in the future:

    Growth: Work with and meet exceptional talent. Learn faster than you ever have before. Access our large network of investors and customers.
    Autonomy: Freedom to execute, build businesses, not just products.
    Support: marketing, legal, finance, fundraising, growth, business development and recruitment.
    Health and Wellness: Comprehensive extended health care coverage from Vitality.
    Office Space: Desk space in fully-serviced office on High Street Ken with table tennis table, scooters and breakout spaces.
    Office Meals: Catered lunches 2 days a week, unlimited breakfast, healthy snacks, freshly ground coffee and Paul’s Irish Bar.

    We are committed to building a diverse culture and are eager to receive applications from all backgrounds. All applicants will receive consideration for employment without discrimination.

    Please note: we have an overwhelming number of applications and will do our best to get back to you within 72 hours if you fit the bill.

    Could this be you?

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