Lead Data Scientist

LEAD DATA SCIENTIST - CREDIT£90,000HYBRID - UK

This role does not offer sponsorship.

This is a fantastic opportunity to lead credit risk decisioning at a fast-growing fintech. You will be the go-to expert for credit strategy, owning model development and deployment, and helping shape the company's lending performance.

THE COMPANYThis company is an ambitious fintech operating in the consumer finance space, providing oversees payments and credit cards. With a strong data-driven culture and a collaborative team structure, they are scaling quickly and investing heavily in their data capabilities to drive better customer and business outcomes.

THE ROLEYou can expect to be involved in the following day-to-day:

• Lead the end-to-end lifecycle of credit and affordability models, from data sourcing to production monitoring.

• Work with a range of data types, including bureau, open banking, and behavioural data.

• Own the development and execution of decisioning strategies, including champion/challenger experiments.

• Analyse portfolio performance and recommend strategic changes based on data insights.

• Partner with engineering teams to deploy models into production systems.

• Work closely with key stakeholders to align data-driven decisions with business goals.

YOUR SKILLS AND EXPERIENCE

• 5-7 years of experience in a consumer credit environment, particularly in decision science or data science.

• Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM).

• Experience working with transactional data and credit bureau sources.

• Familiarity with model monitoring and performance tracking frameworks.

• Proficient SQL skills for querying and data transformation.

• Bonus: experience with unsupervised learning techniques, alternative credit data, or working in a startup/scale-up setting.

THE BENEFITS

• Competitive salary

• 25 days holiday (+ bank holidays)

• Private health insurance

• 5% pension match

• Hybrid working (UK-based)

HOW TO APPLYPlease register your interest by submitting your CV via the Apply link on this page.