Senior Data Scientist

Senior Data Scientist

Zopa Bank

We built the first peer‑to‑peer lending company in 2005 and launched Zopa Bank in 2020. We believe in putting people first and are redefining what it feels like to work in finance. We employ advanced machine learning techniques across over seven years of experience in consumer finance.

• Lead high‑impact data and modelling projects across marketing, customer engagement, credit risk, fraud detection and pricing.
• Own the full project lifecycle: identify business opportunities, curate and process data, engineer features, develop machine learning models, deploy to production and monitor performance.
• Engage with senior stakeholders to influence critical business decisions and deliver direct impact on products and millions of customers.
• Collaborate daily with product managers, analysts, data engineers and software engineers to progress projects.
• Support other data scientists through knowledge sharing, code reviews, and developing common utilities and infrastructure.

• Passion for data and a proven track record of solving complex problems to deliver business value.
• Curious, innovative, with a willingness to challenge the status quo.
• Strong communicator who can influence decision makers and build trust across stakeholders.
• Team player with a can‑do attitude and commitment to getting the job done.
• Excellent Python skills and familiarity with Git, Docker, CI/CD and REST APIs.
• In‑depth knowledge of machine learning algorithms (e.g., logistic regression, random forest, gradient‑boosted trees, neural networks, k‑means) and statistics (Monte Carlo, hypothesis testing, confidence intervals, maximum likelihood, bootstrap, Bayesian inference).

• Experience with causal inference modelling.
• Domain knowledge of consumer lending or credit risk.
• Experience building and deploying generative AI systems.
• People‑management experience.

Hybrid role: attend the London office 2–3 days a week. Option to work from abroad for up to 120 days a year, subject to work‑right requirements.

Zopa is proud to offer a workplace free from discrimination. We recognise that diverse experience, perspectives and backgrounds create better products and a richer company culture. We provide reasonable adjustments throughout the hiring process. We may use AI tools to support parts of the recruitment process, but final hiring decisions are made by humans. If you would like more information about how your data is processed, please let us know.