Data Scientist, FinTech

Confirmed live in the last 24 hours

Cloudflare

Hybrid

Posted March 5, 2026

Job Description

About Us

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. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: Lisbon, Portugal or London, United Kingdom

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