Data Scientist

Pave FinTech (formerly Portify) is looking for a Data Scientist to join its growing Data Science team.

At Pave we are developing exciting technologies with the goal of eliminating financial inequality. Our Direct-to-Consumer product offers a new way to build credit health through a simple subscription service, but we’re not content with stopping there… We are currently building out Business-to-Business products that will change the way businesses collect revenue, how customers manage their bills, and the future of credit building as we know it. See our website https://www.fuseinsight.com/for more information.

We’re looking for vibrant, forward-thinking individuals to join us on our journey!

As a Data Scientist at Pave you will have a unique opportunity to use open-banking, credit-history, and app-usage data to generate predictive models and insights that can be used to transform the future of credit decisioning. Far from being an afterthought, our Data Science team lies at the centre of the business. Pave is a place where you can make a big difference on day one and create real value to the business and ultimately the customer.

In the next 12 months you will:

If you don’t quite meet all these criteria but think you’re the real deal we’d still love to hear from you.

Stretch Qualifications

There are 3 stages for you to get to know Pave and help us determine if you’re a great fit:

Flexible-, remote- and office-working

The ability to work remotely abroad for up to 20 working days a year

A free subscription to Pave Plus

Private healthcare insurance with Vitality

ClassPass Membership

3% Pension Contribution

Season-ticket loan and cycle-to-work scheme

Carbon offsetting

25 days holiday + 3 days off during Christmas and NYLearning & Development budget

Salary: £50k - 60k

Equity: 0.0% - 0.1%

We can sponsor visas for this role

Hybrid Working

We offer all team members a fully flexible working approach, however we have a preference for candidates who are looking to come into our Central London office 2-3 times a week. But don’t worry if not, we still bring the team together in-person through routine offsites.