Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our institutional page https://international.nubank.com.br/careers/
Data Science is essential to every part of the business at Nubank, since Day 1. Most areas of the company use data science to some extent. Data Scientists are responsible for translating business needs into models and other types of data-driven solutions.
- Interact with other team members to understand how to best apply data science and artificial intelligence to Nubank’s problems;
- Investigate problems and discover insights through exploratory data analysis and other quantitative methods;
- Have great numerical and analytical literacy, including knowledge of statistics and linear algebra as needed;
- Work on multiple stages of the ML model lifecycle–from ideation to training and steady-state operation;
- Work across multiple types of models, algorithms and learning paradigms;
- Communicate technical points, decisions and tradeoffs to peers and stakeholders;
- Has experience working with ML models in a production environment;
- Understands possible pitfalls and tradeoffs when applying ML to real-word, sometimes messy problems;
- Is familiar with the technical aspects of learning theory and algorithms and is able to discuss details if needed;
- Has experience working with the Python scientific stack (Numpy, Pandas, Scipy, Sklearn, Boosted Tree Libraries, etc);
- Has experience working with Tensor/Deep Learning libraries such as Tensorflow and Pytorch;
- Is able to connect analytical outcomes to business priorities and advise stakeholders on the best course of action;
- Has good communication skills and is able to convey technical topics and decision points to diverse audiences;
- Has experience writing general-purpose code using modern tools;
- Understands the implications of causality when applying ML to problems;
- Is up-to-date with recent developments in the area as a whole and is able to identify opportunities for improvement and innovation;
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Skills Required
- Experience working with ML models in a production environment
- Understanding of pitfalls and tradeoffs when applying ML to real-world, messy problems
- Familiarity with learning theory and ML algorithms (technical aspects)
- Experience with the Python scientific stack (NumPy, Pandas, SciPy, scikit-learn, boosted tree libraries)
- Experience with deep learning frameworks such as TensorFlow and PyTorch
- Ability to connect analytical outcomes to business priorities and advise stakeholders
- Good communication skills; able to convey technical topics to diverse audiences
- Experience writing general-purpose code using modern tools
- Understanding of causality implications when applying ML
- Being up-to-date with recent developments in the field and identifying improvement opportunities
Nubank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nubank and has not been reviewed or approved by Nubank.
-
Fair & Transparent Compensation — Compensation is considered competitive, especially for tech roles in Brazil/LatAm, with strong top‑of‑band packages reported for senior and product/design positions. Salaries are often described as good, contributing to broadly positive pay sentiment.
-
Equity Value & Accessibility — Equity opportunities (typically RSUs) are widely available across postings and regarded as a meaningful component of total compensation. This equity element strengthens overall packages, particularly for technical and product roles.
-
Parental & Family Support — Parental leave is extended and gender‑neutral across countries, with additional childcare support and parental counseling in Brazil. These family‑focused policies enhance the perceived value of the benefits package.
Nubank Insights
What We Do
Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving more than 70 million customers across Brazil, Mexico, and Colombia. As one of the leading technology companies in the world, Nu leverages proprietary technologies and innovative business practices to create new financial solutions and experiences for individuals and SMEs that are simple, intuitive, convenient, low-cost, empowering, and human. Guided by its mission, Nu is fostering access to financial services across Latin America.
