Data Scientist

Provenir Inc; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Provenir Inc. is seeking a hands-on Data Scientist to support our growing business across Latin America. The role focuses on helping clients and internal teams understand, build, and apply data science solutions via our AI Decisioning platform.

You will work across various analytical use cases, transforming data, models, rules, and insights into practical business outcomes. This remote position requires base in São Paulo, Brazil, with occasional travel for regional meetings.

Qualifications

• Portuguese and English fluency are required.

Responsibilities

• Support clients and internal teams with data science solutions on Provenir's AI Decisioning platform.
• Work across analytics use cases such as customer decisioning, risk analytics, fraud prevention, collections, and related business outcomes.
• Collaborate with colleagues across Sales, Pre-Sales, GAI, Product, and Technology; communicate insights to stakeholders.

Job description

Who We Are

Provenir is the unified Decision Intelligence Platform that gives enterprises full control over end- to-end customer decisioning — to manage risk, drive growth, and transform business outcomes. By consolidating data, AI models, intelligence, agents and governance into a single decisioning environment, Provenir empowers business teams to configure and evolve strategy directly, while maintaining enterprise-grade reliability and regulatory compliance. Trusted by 120+ institutions in 60+ countries, Provenir processes over 4 billion decisions annually — turning architectural coherence into sustained risk performance and measurable value. Ready to solve meaningful challenges, work with enterprise customers, and help shape the future of AI-powered decisioning? Join us.

About Global Applied Intelligence

Global Applied Intelligence (GAI) is the team that turns Provenir’s platform capability into measurable client outcomes. We deploy data science, applied AI, and delivery expertise directly into client engagements, operating as trusted advisors and technical partners, not back-office implementers. GAI operates through regional business partnerships supported by global practices, meaning the right expertise reaches every engagement regardless of geography.

What You’ll Do

We’re seeking a hands-on Data Scientist to support Provenir’s growing business across Latin America. In this role, you’ll help clients and internal teams understand, build, and apply data science solutions through our AI Decisioning platform.

You’ll work across a range of analytical and decisioning use cases, helping turn data, models, rules, and insights into practical business outcomes. These may include areas such as customer decisioning, risk analytics, fraud prevention, collections, customer management, operational efficiency, and broader business automation.

You’ll join Provenir’s global Data Science team and work closely with colleagues across Sales, Pre-Sales, GAI, Product, and Technology. This role blends hands-on analytical delivery with stakeholder communication and exposure to client-facing work. It is well suited to someone who enjoys solving real-world problems and wants to grow their ability to explain data science solutions in a commercial environment.

Portuguese and English fluency are required for this role. Spanish is a plus.

This is a remote role, but our new colleague should be based in São Paulo, Brazil. Occasional travel may be required for regional team meetings and client engagements.

Your Responsibilities

Our employees are our top priority; we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly opportunities, and maternity/paternity leave.

At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.