Data Scientist, FinTech

Available Locations: Lisbon, Portugal or London, United Kingdom
About the Team
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, from individual bloggers to Fortune 500 companies, protecting and accelerating them 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. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.
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.
About the Role
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. If you are excited to use data to not only optimize our operations but to discover and build the next generation of FinTech products, we would love to hear from you!
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