Senior Data Scientist (Fintech)

TL;DR

Senior Data Scientist (Fintech): Developing and deploying machine learning models for underwriting, pricing, and customer management in the UK credit cards business with an accent on high-dimensional data analysis and credit strategy. Focus on owning the full model lifecycle from research to production monitoring and influencing commercial outcomes through quantitative frameworks.

Location: Must be based in London or Kent, UK (Hybrid role with office attendance required Tuesday–Thursday).

Company

hirify.global is a profitable, high-growth fintech unicorn rebuilding consumer finance products like loans, credit cards, and car finance using proprietary technology.

What you will do

• Develop and deploy machine learning models to optimize underwriting, pricing, and customer management.
• Analyze large, complex datasets to generate actionable insights for credit and commercial strategy.
• Manage the full lifecycle of decision systems, including research, development, and production monitoring.
• Collaborate with product, engineering, and commercial teams to solve ambiguous business problems.
• Contribute to technical knowledge sharing and continuous team learning.

Requirements

• Must be based in London or Kent, UK.
• Strong programming proficiency in Python and SQL.
• Solid understanding of statistics, machine learning, and quantitative problem-solving.
• Ability to approach ambiguous problems with structure and pragmatism.
• Collaborative mindset with a focus on fast execution and practical impact.

Nice to have

• Interest in advanced machine learning techniques and applied research.
• Experience in credit risk, lending, or broader financial services.
• Interest in machine learning infrastructure and optimization.

Culture & Benefits

• Competitive compensation package including equity.
• Private health insurance coverage.
• Hybrid work model with flexibility to work from home on Mondays and Fridays.
• Fully stocked kitchen in the office for breakfast, lunch, and snacks on Tuesday–Thursday.
• Opportunity to scale a successful fintech company in a collaborative, inclusive environment.

Hiring process

• Recruiter call.
• Take-home task.
• Technical interview and case study.
• Final interview.