1-2 days per week at home

A little flex time

Employment type
Full time

Who we are

We are a high-growth FinTech start-up using data and machine learning to revolutionize the insurance industry. You will be joining a strong and mission driven team, working to build a customer facing product that fundamentally changes the way insurers process risk, enabling them to move from highly manual workflows, to digital risk flows.

The role

Our product drastically improves the working lives of our users, enables our customers to cover more risks, more competitively, and unlocks innovation. One way it does this is by putting all (and only) relevant information in front of the right person at the right time to help them make the right decision quickly - this is where you come in.

What you will be doing

You’ll work with clients to understand the data that they need, proactively research proprietary and publicly available data sources to meet those needs, and then evaluate, clean and analyse what you find to make that data as valuable as possible.


What we look for

  • A curious, proactive and creative approach to problem solving
  • 1-2 years of experience working with publicly available data sources
  • Exceptional communication skills

Nice to haves (optional)

  • Insurance knowledge and experience
  • Experience in Python and related data analysis tools/libraries


  • Remote first
  • Competitive salary
  • Share options
  • £2000 work abroad budget each year
  • £1500 Learning and development budget each year
  • Flexible hours
  • Private Health Insurance
  • Enhanced parental leave


This role is fully remote, and can be performed anywhere within the UK or the EU. We are unfortunately unable to consider any candidates outside of the UK or EU.

Equal Opportunities

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Information Technology Services
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1-2 days per week at home

A little flex time