Senior Data Scientist II

LexisNexis Servicos de Ltda Company; São Paulo; Hybrid; BRL 250,000 - 450,000; Full time

Benefits offered by this job

Country-specific benefits

Job summary

LexisNexis Risk Solutions is seeking a senior data science leader in Brazil to design, validate, and monitor advanced fraud prevention models and analytics infrastructures. You will drive Next-Generation fraud initiatives, align data science with product and commercial goals, and mentor a global team of data scientists.

Collaborate with Product, Technology, Sales, and Content Acquisition to deliver scalable fraud solutions and ensure governance and regulatory compliance across projects.

Qualifications

• Advanced experience in Data Science, Advanced Analytics, Machine Learning, or related quantitative fields.
• Strong background in fraud analytics, digital identity, risk modeling, or financial crime prevention.
• Expertise in predictive modeling, machine learning, statistical analysis, and large-scale data environments.
• Experience developing and deploying analytical solutions in production environments.
• Strong stakeholder management and communication skills, with the ability to influence decision-making across technical and business teams.
• Experience working within global and matrixed organizations.
• Ability to balance strategic thinking with hands-on analytical execution.
• Advanced English communication skills required.
• Experience with identity intelligence, contributory data ecosystems, fraud prevention platforms, or risk decisioning solutions is highly preferred.

Responsibilities

• Lead the design, development, validation, and monitoring of fraud prevention models, machine learning solutions, and analytical frameworks.
• Drive analytical initiatives supporting Fraud Next Generation strategies, aligning data science capabilities with product, technology, and commercial objectives.
• Partner cross-functionally with Product, Technology, Sales, Pre-Sales, Content Acquisition, and Global Analytics teams to deliver scalable business solutions.
• Identify opportunities to enhance fraud detection, entity resolution, identity verification, and data intelligence capabilities.
• Support the expansion of Decision Trust solutions through customized analytics, proof of concepts, customer engagements, and production-ready implementations.
• Provide technical leadership and mentorship to other data scientists, promoting analytical best practices and knowledge sharing.
• Ensure alignment with enterprise governance standards, Responsible AI principles, and regulatory requirements.
• Communicate analytical findings and recommendations to technical and non-technical stakeholders, including senior leadership.
• Contribute to the long-term analytical roadmap, supporting innovation, product development, and scalable growth initiatives.
• Evaluate new data assets, analytical methodologies, and emerging technologies that can improve fraud prevention performance.

Skills

Fraud analytics

Machine learning

Data science leadership

Stakeholder management

Global/matrixed orgs

Identity intelligence

English communication

Tools

Production ML deployments

Large-scale data environments

Job description

Key Responsibilities

• Lead the design, development, validation, and monitoring of fraud prevention models, machine learning solutions, and analytical frameworks.
• Drive analytical initiatives supporting Fraud Next Generation strategies, aligning data science capabilities with product, technology, and commercial objectives.
• Partner cross-functionally with Product, Technology, Sales, Pre-Sales, Content Acquisition, and Global Analytics teams to deliver scalable business solutions.
• Identify opportunities to enhance fraud detection, entity resolution, identity verification, and data intelligence capabilities.
• Support the expansion of Decision Trust solutions through customized analytics, proof of concepts, customer engagements, and production-ready implementations.
• Provide technical leadership and mentorship to other data scientists, promoting analytical best practices and knowledge sharing.
• Ensure alignment with enterprise governance standards, Responsible AI principles, and regulatory requirements.
• Communicate analytical findings and recommendations to technical and non-technical stakeholders, including senior leadership.
• Contribute to the long-term analytical roadmap, supporting innovation, product development, and scalable growth initiatives.
• Evaluate new data assets, analytical methodologies, and emerging technologies that can improve fraud prevention performance.

Qualifications

• Advanced experience in Data Science, Advanced Analytics, Machine Learning, or related quantitative fields.
• Strong background in fraud analytics, digital identity, risk modeling, or financial crime prevention.
• Expertise in predictive modeling, machine learning, statistical analysis, and large-scale data environments.
• Experience developing and deploying analytical solutions in production environments.
• Strong stakeholder management and communication skills, with the ability to influence decision-making across technical and business teams.
• Experience working within global and matrixed organizations.
• Ability to balance strategic thinking with hands‑on analytical execution.
• Advanced English communication skills required.
• Experience with identity intelligence, contributory data ecosystems, fraud prevention platforms, or risk decisioning solutions is highly preferred.

Professional Profile

• Strategic and business-oriented problem solver.
• Strong technical leader and trusted analytical advisor.
• Collaborative, proactive, and results‑driven.
• Comfortable operating in fast‑paced, cross‑functional, and international environments.
• Passionate about innovation, continuous learning, and delivering measurable business outcomes.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

We are committed to providing a fair and accessible hiring process.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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At LexisNexis® Risk Solutions, our businesses span multiple industries providing customers with innovative technologies, information-based analytics, decisioning tools and data management services that provide market-specific solutions. Approximately 11,100 employees in offices throughout the world support our brands by serving customers in more than 190 countries and territories. LexisNexis® Risk Solutions is part of RELX, a global provider of information and analytics for professional and business customers across industries. For more information, please visit www.risk.lexisnexis.com and www.relx.com.