Data Scientist, Python, Machine Learning, Remote

4 weeks ago


London, United Kingdom Iwoca Ltd Full time €70,000 - €90,000

Data Scientist - Credit Risk Analytics
Hybrid in London / Remote within the UK
Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. We help businesses get the funds they need, when they need it, often within minutes. We’ve already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe.
Our mission is to finance one million businesses. We’ll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service.
The Credit Risk Analytics team at iwoca is known as the League of Lending. It’s a versatile team of analysts, developers, and credit risk managers and is the largest team in terms of data science resources.
The environment is dynamic and autonomous, with a focus on ‘getting things done’ and delivering high quality solutions. Your role as a Data Scientist working in credit risk will involve growing and demonstrating your skills in a number of key areas, including but not limited to…
Explore building innovative new modelling methods into our training pipeline to increase the predictive power and flexibility of our credit risk models.
Take responsibility for the full lifecycle of a model, including training, validation, deployment, and performance monitoring.
Collaborate with Data Scientists and Analysts in other teams to ensure that our model predictions are being consumed appropriately and to ensure that model interdependencies are accounted for.
Project ownership and autonomy.
Independently build data science solutions to iwoca's business problems and be on a trajectory with increasing responsibility in solution design.
Proficiency with data manipulation and modelling tools — e.g., Experience with scientific computing and tooling — e.g., Self-driven with the capability to efficiently manage projects end-to-end.
Bonus:
Experience building machine learning models from scratch (e.g., Experience with modelling credit risk or other topics in mathematical finance (e.g., Experience with Python. (Note: we mostly work in Python.)
We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.
At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members.We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services.
Events and clubs, like bingo, comedy nights, yoga classes, football, etc.
Medical insurance from Vitality, including discounted gym membership, and a private GP service for you, your partner, and your dependents.
~25 days’ holiday, an extra day off for your birthday, the option to buy or sell an additional 5 days of annual leave, unlimited unpaid leave, and one-month fully paid sabbatical after 4 years.
~ Instant access to emotional and mental health support with our partner, Spill.
~ Pension and share options.
~ Generous parental leave and a nursery tax benefit scheme to help you save money.
~ Cycle-to-work scheme and electric car scheme.
~



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