Data Scientist Intern, Business Intelligence (Summer 2025)

Posted 2 Days Ago
Be an Early Applicant
Lisbon
Hybrid
Internship
Cloud • Information Technology • Security • Software • Cybersecurity
Helping Build a Better Internet
The Role
The Data Scientist Intern will assist the Business Intelligence team in extracting insights from large datasets, developing predictive models, collaborating on data-driven solutions, and working with NLP and Generative AI frameworks. The role includes knowledge sharing and mentorship opportunities.
Summary Generated by Built In

Available locations: Lisbon, Portugal
About the team
The Business Intelligence team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Product teams with actionable insights. Our goal is to democratize data, support Cloudflare's critical business needs, provide reporting and analytics via self-service data applications to fuel existing and new business critical initiatives.
About the role
We are looking for a Data Scientist Intern to join our Lisbon 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.
What you'll do

  • Develop and deploy predictive/LLM 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 LLM 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


Examples of desirable skills, knowledge and experience

  • B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
  • Experience working with programming languages such as Python, Javascript or SQL
  • 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


Bonus Points

  • Familiarity with Google Cloud Platform or something similar
  • Familiarity with container based deployments such as Docker & Kubernetes

Top Skills

JavaScript
Python
SQL
The Company
HQ: San Francisco, CA
3,900 Employees
Hybrid Workplace
Year Founded: 2010

What We Do

Cloudflare, Inc. (NYSE: NET) is the leading connectivity cloud company on a mission to help build a better Internet. It empowers organizations to make their employees, applications and networks faster and more secure everywhere, while reducing complexity and cost. Cloudflare’s connectivity cloud delivers the most full-featured, unified platform of cloud-native products and developer tools, so any organization can gain the control they need to work, develop, and accelerate their business.

Powered by one of the world’s largest and most interconnected networks, Cloudflare blocks billions of threats online for its customers every day. It is trusted by millions of organizations – from the largest brands to entrepreneurs and small businesses to nonprofits, humanitarian groups, and governments across the globe.

Why Work With Us

Cloudflare employees come from all walks of life. We are mission-driven, and our team is energized by a collaborative, creative environment that celebrates our differences and fosters new ways to grow together.

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Cloudflare Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We are committed to developing a global team that is distributed with a flexible working approach. Doing this equitably and inclusively is essential to our success. Visit our careers site for more on 'How & Where We Work.'

Typical time on-site: Flexible
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