Company Description
Serasa Experian is Brazil's first and largest Datatech company. A leader in intelligence solutions for risk analysis and opportunity identification, with a focus on credit journeys, authentication, and fraud prevention. With cutting-edge technology, innovation, and the best talent, we transform risk uncertainty into the best decisions, helping people achieve their dreams and companies of all sizes and segments to thrive.
We have 22,000 people operating in 32 countries and every day we are investing in new technologies, talented professionals, and innovation to help all our clients maximize every opportunity. With corporate headquarters in Dublin, Ireland, Experian is listed on the London Stock Exchange (EXPN) and is part of the FTSE 100 index.
Job Description
The Senior Data Scientist will be responsible for technically leading the development of advanced models, analytical products, and AI/ML-based solutions that support strategic decisions and deliver direct value to Serasa Experian's clients and business areas.
This position acts as a technical reference, connecting strategy, technology, and business, ensuring excellence in modeling, engineering best practices, scalability, and measurable impact.
Responsibilities
- Act as a technical reference in the development of Data solutions (Machine Learning, advanced statistics, and AI).
- Technically lead end-to-end data projects, from conception to production implementation.
- Ensure best practices in analytical engineering, MLOps, and model governance.
- Develop and optimize Machine Learning models with a focus on performance, interpretability, and scalability.
- Ensure monitoring, maintenance, and continuous evolution of models in production.
- Translate business problems into analytical hypotheses and robust solutions.
- Support strategic decisions through analysis, experiments, and impact measurement.
- Collaborate with multidisciplinary teams (business, engineering, product) in building solutions.
- Communicate complex results clearly to technical and executive audiences.
- Evaluate technical feasibility, ROI, and risks of data-driven initiatives.
- Act as a technical mentor for junior professionals, contributing to team development.
Qualifications
- Bachelor's degree in Computer Science, Statistics, Engineering, or related fields.
- Proficiency in Python (or R) and data/ML libraries.
- Experience with the end-to-end model cycle (exploration, training, validation, and deployment).
- Practical development experience with Databricks (notebooks, jobs/workflows, and/or Databricks SQL).
- Solid experience with Machine Learning model development and data analysis.
- Familiarity with cloud environments (AWS, Azure, or GCP).
Additional Information
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 4,000 people working in diverse teams and specialties. Here, every skill and diversity complement each other and you can work on what you love most. We are committed to building an inclusive culture and an environment where people can balance their careers with their personal commitments and interests, prioritizing 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 various market certifications: we have been awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, and we are recognized as one of the best companies for young professionals with 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 talent.
Experian Careers - Creating a better tomorrow together
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