You will develop and deploy innovative predictive models to transform consumer credit risk assessment. By balancing foundational statistics with advanced machine learning and Generative AI, you will tackle challenges in affordability, fraud detection, and entity resolution. Your work directly impacts underserved consumers by creating more equitable financial products through explainable data science.
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Data Scientist and AI Engineer at progressive fintech credit startup
Are you a Data Scientist who knows when to use a simple linear model and when to deploy a complex LLM? This progressive London-based fintech startup is looking for an ambitious engineer to revolutionize credit risk and affordability. You'll work on everything from XGBoost risk insights to Generative AI context engineering, all while ensuring model explainability through SHAP. If you have 2+ years of experience in finance and want the autonomy of a fast-moving startup where your work directly helps underserved consumers access better products, this is the role for you.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Progressive fintech credit startup
What you will do
- Build and maintain foundational linear models and advanced XGBoost architectures for credit, affordability, and fraud scoring.
- Implement NLP techniques and LLM context engineering for large-scale entity resolution and unstructured data analysis.
- Collaborate with engineering teams on MLOps to containerize and monitor models within a high-scale AWS cloud environment.
Who this is a fit for
- Holds a degree in a quantitative field with 2+ years of professional experience in fintech, Finance, or Credit Risk.
- Demonstrates expert-level Python skills and a deep understanding of statistical assumptions, model interpretability, and bias mitigation.
- Possesses a creative, analytical mindset capable of identifying behavioral clusters and trends within raw, complex datasets without predefined hypotheses.
Why this role is remarkable
- Rare opportunity to combine traditional linear regression stability with cutting-edge XGBoost and LLM applications in a high-stakes production environment.
- Join a fast-moving, well-funded startup backed by expert leadership where you have the autonomy to lead projects from experimentation to containerized deployment.
- Directly contribute to financial inclusion by building ethical models that use SHAP for transparency, ensuring fair outcomes for everyday consumers.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.