Data Scientist III

Role Summary

We are looking for a Senior Data Scientist to join our Agribusiness Risk Management team. The professional will work in a highly qualified team of data scientists, working on the development of models, attributes and analytical solutions that support strategic decisions and innovation in agribusiness.

This professional will also play a key role in defining the analytical architecture, technical standards and direction of data science solutions, acting as a technical reference for the team and a bridge between business, engineering and products.

Responsibilities

• Develop risk models that optimize the ability to analyze and grant credit in Agribusiness.
• Define technical approaches, stacks and standards for developing models and analytical pipelines.
• Document and communicate model results in a clear and actionable way to different stakeholders.
• Carry out presentations and collect feedback from internal and external customers.
• Collaborate with multidisciplinary teams, including professionals from the Engineering and Product teams, to understand needs, identify possibilities for improvements in processes and products from a modeling point of view.
• Explore new variables and information to improve the predictive capacity of models.
• Evaluate and implement new techniques/technologies that make it possible to improve the efficiency and accuracy of risk models.
• Constantly monitor the alignment between technical data science decisions and business objectives.
• Act as a technical reference (tech lead) for data scientists and analysts, supporting methodological decisions and code/model reviews.
• Lead the evolution of the risk model architecture (features, validation, monitoring, MLOps).
• Evaluate trade-offs between model complexity, performance, interpretability and governance.
• Support the technical planning of medium and long-term analytical initiatives.

Basic Requirements

• Bachelor's degree in Data Science, Mathematics, Engineering, Statistics, Computer Science or related field.
• Proficiency in Python and experience with libraries such as Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn, Jupyter etc.
• Strong command of Machine Learning techniques applied to real risk/credit problems, including model validation, bias control, temporal stability and explainability.
• Practical experience in designing complex features and evaluating the impact of variables in production.
• Ability to review, refactor and guide analytical code to quality, efficiency and reproducibility standards.
• Experience with risk modeling.
• Experience participating in analytical or technical architecture decisions (data, models, pipelines).
• Expertise in querying and manipulating databases for building and validating models.
• Familiarity with version control tools such as Git and Bitbucket to manage and collaborate on code projects.
• Communication skills to present technical results in a clear and convincing way.
• Ability to work independently and in a team, with excellent communication and interpersonal skills.

Desirable/Differential

• Academic or professional experience in Agribusiness.
• Experience acting as a reference in data teams.
• Ability to mentor more junior professionals and influence technical decisions without formal authority.
• Experience with software engineering and Machine Learning engineering.
• Ability to evaluate the use of LLMs and AI agents as part of the analytical strategy.
• Experience working in agile and collaborative environments, with a focus on delivering continuous value.
• Knowledge of other programming languages, such as R, SQL, Scala and Java.
• Knowledge of Hadoop, Spark/Pyspark, Polars, etc.
• Knowledge of a Cloud environment (preferably AWS).

Requirements

• Bachelor's degree in Data Science, Mathematics, Engineering, Statistics, Computer Science or related field.
• Strong command of Machine Learning techniques applied to real risk/credit problems, including model validation, bias control, temporal stability and explainability.
• Ability to review, refactor and guide analytical code to quality, efficiency and reproducibility standards.
• Experience with risk modeling.
• Experience participating in analytical or technical architecture decisions (data, models, pipelines).
• Ability to work independently and in a team, with excellent communication and interpersonal skills.

Benefits

Serasa Experian is much more than you imagine. With the purpose of creating a better future, expanding opportunities for people and companies, in Brazil we have more than 4 thousand people who work in different teams and specialties. Here, each knowledge and diversity complements each other and you can work on what you love most. We are committed to building an inclusive culture and an environment in which people can balance their careers with their personal commitments and interests, valuing well-being.

We are very dedicated to being one of the best and most innovative companies to work for in the country, enabling incredible experiences and careers for our people. Our strong people-first approach is recognized externally through several market certifications: we were awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, in addition to being recognized as one of the best companies for young professionals and having a 4.6 rating on Glassdoor. Each recognition shows us that we are on the right path, providing an increasingly better work environment for our talents.

• Experian Careers - Creating a better tomorrow together
• Find out what its like to work for Experian by clicking here

About the Company

Experian is a global data and technology company that drives opportunities for people and businesses around the world. We operate in several markets, such as financial services, health, automotive, agribusiness, insurance, among others. Experian invests in people and advanced new technologies to unlock the power of data. We have an incredible team of 25,200 employees in 32 countries.

Our uniqueness is to value yours. Experian’s people-centered, inclusive and purpose-driven culture is recognized by numerous awards — including World’s Best Workplaces™ 2025 (Fortune’s Global Top 25) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to see why. Experian is also proud to be an employer that promotes equal opportunity and affirmative action