Data Scientist, FinTech in London

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

The FinTech Data Science team is central to Cloudflare's innovation and harnesses the massive amount of data generated by our network. We cover a broad scope, from optimizing Billing and Revenue operations to detecting Fraud, and possess a unique opportunity to use these insights to discover new products or transform existing ones.

We're seeking a Data Scientist to join our FinTech Data Science team. In this role, you will apply advanced statistical analyses and ML models to large datasets to solve challenges in Billing and Fraud. You will lead the development of our foundational fraud detection framework, building the initial ML models to mitigate financial risk. In addition, you will drive innovation in our Billing systems by applying AI to unstructured data to improve user experience.

The ideal candidate will possess a strong foundational knowledge of data science principles and statistical modeling. Day-to-day responsibilities include:

• Collaborate with Product, Engineering, Support and Finance teams to translate complex business requirements into scalable data science solutions for Billing and Fraud
• Lead the design and implementation of foundational Machine Learning models to detect financial anomalies, abuse patterns, and fraud risks
• Leverage AI and NLP techniques to mine unstructured data, such as support logs and user feedback, to identify friction points and uncover hidden improvements in our billing systems
• Manage the full lifecycle of our models, from exploratory analysis and feature engineering to validation, deployment, and monitoring in production
• Proactively identify opportunities to transform data insights into new FinTech product features or strategic business initiatives
• Build and optimize robust data pipelines ensuring data is discoverable and easy to query

Required skills, knowledge, and experience:

• MS/PhD in a quantitative field (CS, Statistics, Math, etc.) with 5+ years of industry experience
• Strong knowledge and hands‐on experience in machine learning and statistics
• Experience using LLMs to extract actionable insights from unstructured data
• Proficiency in SQL and Python
• Hands‐on experience building and maintaining data pipelines
• Experience deploying machine learning models into production environments
• Ability to navigate ambiguity and lead the development of foundational products from scratch
• Excellent communicator, with a focus on driving impact

Bonus Points:

• Experience in FinTech
• Experience working on fraud or support related problems
• Experience building AI agents

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.