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!
Role Description
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.

Responsibilities
In the next 12 months you will:

• Research and develop improvements to our open-banking transaction enrichment pipeline using NLP
• Research new feature generation and model development for credit risk prediction
• Productionize and monitor models on AWS cloud

Minimum Qualifications

• 
  Master’s degree in computer science, mathematics, physics, machine learning, engineering or similar quantitative field
• Industry or research experience in a related discipline (2+ years)
• Self-starter and strong sense of ownership
• Sound analytical thinking, communication skills and attention to detail
• Strong programming skills in Python

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

• 
  Previous experience with open-banking data
• Previous experience with consumer or SME credit risk models
• Experience with AWS cloud architecture (Lambda, Sagemaker Pipelines, ECS, ECR) or Google Cloud Platform

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

• 
  Stage 1: An introductory phone call with members of our Data Science team to run through your experience and ambitions;
• Stage 2: A follow-up technical interview with our Data Science team;
• Stage 3: A final values-based interview with our CEO

Benefits
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
Please note: We will make competitive offers tailored to each individual
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.