Jr. Data Scientist Analyst

Company Description

Serasa Experian is the first and largest Datatech in Brazil. We are a leader in intelligence solutions for risk analysis and opportunities, focusing on credit journeys, authentication, and fraud prevention. With cutting-edge technology, innovation, and the best talent, we transform the uncertainty of risk into the best decision, helping people achieve their dreams and companies of all sizes and segments to prosper.

We have 22,000 people operating in 32 countries, and every day we invest in new technologies, talented professionals, and innovation to help all our clients maximize every opportunity. Headquartered in Dublin, Ireland, Experian is listed on the London Stock Exchange (EXPN) and is a constituent of the FTSE 100 index.

Job Description

Job description

Area

Fraud Prevention / R&D in Biometrics, Liveness, and Device Intelligence

About the opportunity

We are looking for someone to work as a Jr. Data Scientist on fraud prevention initiatives, with a focus on biometrics/liveness, device intelligence, and modeling applied to real business problems. This person will support the construction of analytical solutions from data extraction and analysis to feature engineering, training, validation, and model deployment, working in partnership with the technical team and developing autonomy throughout the journey.

Main responsibilities

• Support the extraction, organization, and analysis of data from different sources for studies and fraud prevention solutions
• Contribute to data preparation and feature engineering activities for building analytical models
• Participate in the development, training, validation, and evolution of machine learning models applied to biometrics/liveness, device intelligence, and fraud detection
• Support the deployment of models to experimentation or production environments, with team supervision
• Work together with technical teams and partner areas to transform business problems into practical analyses and solutions
• Contribute to the structuring and maintenance of data pipelines and routines that support the model lifecycle
• Identify opportunities for improvement in data, processes, and analytical approaches in the area

Behavioral competencies

• Curiosity and a desire to learn in a challenging technical environment
• Responsibility for deliverables and attention to the quality of work developed
• Good communication skills to share learnings, questions, results, and risks
• Proactivity in seeking knowledge and proposing improvements
• Resilience to deal with iterations, tests, and adjustments to approaches
• Professional attitude and collaboration with the team

Preferred qualifications

• Knowledge of AIRFLOW for pipeline orchestration
• Experience or exposure to OCI
• Academic or professional experience with fraud, biometrics, liveness, digital identity, or device intelligence
• Participation in R&D projects, MVPs, POCs, or applied research in analytical models
• Knowledge of the integration between data science and data engineering

What we expect from this person

We expect someone with a solid technical foundation, a genuine interest in learning and growing in data science, and a willingness to work on real and relevant problems for fraud prevention. This is an opportunity to develop technical depth in modeling and data, working in partnership with an experienced team that is close to the business.

Qualifications

Qualifications

• Degree in Data Science, Statistics, Computer Science, Engineering, or related fields
• Knowledge of SQL for data extraction, manipulation, and analysis
• Knowledge of statistical modeling and machine learning
• Experience with data preparation, analytical exploration, and feature engineering
• Interest in working across the model development cycle, from analysis to deployment
• Solid foundation in data engineering or interest in developing this capability in the context of pipelines and analytical flows

Additional Information

Serasa Experian is much more than you imagine. With the purpose of creating a better future by expanding opportunities for people and companies, in Brazil we are more than 4,000 people working in diverse teams and specialties. Here, every piece of 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 where people can balance their careers with their personal commitments and interests, valuing well-being.

We are 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, in addition to being recognized as one of the best companies for young professionals and holding a 4.6 rating on Glassdoor. Each recognition indicates that we are on the right path, providing an increasingly better work environment for our talent.

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