Data Science Intern (Summer 2026)

Cloudflare•Austin, TX

2d•Hybrid

About The Position

The Data Intelligence & Analytics team at Cloudflare is responsible for building a unified data & ML platform that enables our internal Business Partners and Product teams with actionable analytics, insights and recommendations. Our goal is to democratize data & intelligence, support Cloudflare’s critical business needs, and provide self-service data & AI applications to fuel existing and new business critical initiatives. We are looking for a Data Scientist Intern to join our Austin team to help us extract insights from our large datasets and drive business decisions. As an intern, you’ll work alongside experienced data scientists and machine learning engineers to tackle real-world challenges in natural language processing (NLP) and AI development.

Requirements

B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
Experience working with programming languages such as Python, SQL or Javascript
Knowledge of machine learning algorithms, statistical modeling and LLMs
Excellent communication & problem solving skills
Ability to collaborate with cross functional teams and work through ambiguous business requirements
Ability to commit to a 12 week summer internship
In office 3-5 days a week in Austin, TX

Nice To Haves

Familiarity with Google Cloud Platform or something similar
Familiarity with container based deployments such as Docker & Kubernetes
Experience with JavaScript, Typescript, and React

Responsibilities

Develop and deploy predictive models to drive business outcomes
Collaborate with cross-functional teams to design and implement data-driven solutions
Work with large datasets to extract insights and inform business decisions
Work on data preprocessing/parsing strategies to make it LLM ready
Rapidly test new frameworks such as AI agents, RAG, NL2SQL, etc in the Generative AI domain
Support the evaluation and benchmarking of LLM performance across various tasks and metrics
Continuously involved in knowledge sharing and mentorship