About this role
The Senior Data Scientist position at iwoca is a permanent hybrid or UK remote role focusing on credit risk modelling for lending operations. This opportunity suits an experienced data professional who wants to lead end-to-end machine learning projects and drive technical direction.
Role Overview
Joining the Credit Risk Modelling team at iwoca involves owning probabilistic machine learning and Customer Lifetime Value models for UK and German lending portfolios. The team consists of approximately twelve data scientists working on automated decisions and manual credit workflows. Responsibilities include maintaining production health, driving incremental development, and conducting research that influences pricing and portfolio strategy.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Iwoca was built to provide flexible and responsive finance to small and medium enterprises, helping them overcome cash flow pressures. Utilizing smart technology, data science, and customer service, the company has funded over 100,000 businesses with more than £4 billion. The organizational culture promotes independent thinking, evidence-based decisions, challenging untested logic, and internal growth with offices located in London, Leeds, Berlin, and Frankfurt.
How to Apply
Interested candidates should visit the official iwoca careers page to submit an application and include salary expectations.
Skills and tech stack
Questions candidates ask
Is this role remote?
Yes, this role can be performed as a hybrid position from the London office or fully remote from anywhere in the UK.
What is the salary range for the Senior Data Scientist position?
The expected salary range for this role is between £90,000 and £120,000 per year, depending on experience.
What programming language does the team use?
The Credit Risk Modelling team primarily uses Python for their technology stack.
What team will I be joining?
You will join the Credit Risk Modelling team, which consists of about twelve data scientists handling credit risk and customer lifetime value modelling.
What kind of benefits are included?
Benefits include medical insurance, private GP access, flexible working hours, 25 days of holiday, a 3% pension contribution, an employee equity incentive scheme, annual company retreats, and a learning and development budget.
