Data Science Intern

About the job

Overview / About us:

We are a Y Combinator / Latitud backed fintech platform in Mexico led by talent from companies such as Capital One, Bain & Company, Konfio, DiDi, etc. We are hyper focused on making sure that customers improve their financial lives significantly through their relationship with us. In a very short time, we have achieved significant traction with exceptional consumer outcomes and unit economics. We are also building and incorporating a significant amount of AI into our operations, so this is a great place to work for anybody who has ambitions to build real time applications of AI. Our goal is to build the biggest AI native consumer fintech platform in Mexico and eventually LatAm.

About the Role

You'll work at the intersection of data and operations — running analyses, building automations, and supporting key business decisions with data. This is a hands-on role: you'll write SQL, work with Python, and get exposure to real production systems.

What you'll do

- Analyze customer and operational data to surface insights and support business decisions

- Build and maintain automations and lightweight integrations (N8N, APIs, scripts)

- Collaborate with the Operations, Risk, and Tech teams on active projects

- Help monitor key business metrics and flag anomalies

- Document what you build so the team can build on top of it

Ideal profile

- Studying data engineering, data science, or a related field

- Comfortable with SQL and Python (you don't have to be an expert, but you need to be hands-on)

- Curious about how businesses work, not just how the code runs

- Takes ownership: you follow things through instead of waiting to be told what to do next

What you'll get

- Real exposure to a fast-growing AI-native fintech

- Mentorship from a cross-functional team (ops, risk, tech)

- Ownership of meaningful projects from early on