Data Scientist

Provenir; São Paulo; Presencial; BRL 180 000 - 260 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and employee assistance plans

Paid time off and company holidays

Maternity/paternity leave

Resumo da oferta

Provenir is a unified Decision Intelligence Platform enabling financial services to make smarter risk decisions, faster. We are seeking a hands-on Data Scientist to support Provenir’s growing business across Latin America.

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.

Qualificações

• Bachelor’s degree in a STEM field plus 3+ years in data science, analytics or related field.
• Strong Python skills and experience with data wrangling, model development workflows.
• Excellent communication skills in Portuguese and English; Spanish a plus.

Responsabilidades

• Support LATAM engagements across data science, analytics, and decisioning use cases.
• Collaborate with internal teams and clients to understand problems and data needs.
• Build, evaluate, and explain analytical solutions including models, scorecards and rules.
• Use Python and data science libraries to clean, explore, transform, and analyze data.
• Document analysis, code, and recommendations clearly for reproducibility.

Conhecimentos

Python

Data Science

Communication

Model Development

Formação académica

Bachelor’s degree in STEM

Master’s degree or equivalent in STEM

Ferramentas

Pandas

scikit-learn

Notebooks

MLflow

CI/CD

Descrição da oferta de emprego

At Provenir, we collaborate globally to inspire one another to do, learn and achieve more.

We are passionate, persistent and pioneering.
Are you?

We are passionate about innovation and enabling fintechs, financial institutions and payment providers to make smarter risk decisions, faster. At Provenir, you get the opportunity to work with financial services organizations disrupting the industry across 60+ countries.

Our employees are empowered to be curious, forward-thinking leaders. We ask them to explore the uncharted and invent the unimagined. That’s what makes Provenir unique.

The Provenir team is built on a foundation of individuals from a wide range of backgrounds, and we believe diversity makes us stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. If you require special accommodation, please let us know.

If you’d like to work at an industry-leading fintech with a global footprint that is redefining the industry, then we want you.

We take care of our people.

Life & Work

Your family matters. Our comprehensive Health and Employee Assistance Plans are available to protect you and your entire family including spouse, domestic partners and dependents.

Your future matters. We help you plan ahead with savings plans for a prosperous retirement. We offer paid sick leave, disability, life insurance/assurance and supplemental plans to prepare for the unexpected.

Location

Employment Type

Full time

Remote

Department

Data Science & Analytics

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.

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

Support LATAM engagements across a range of data science, analytics, and decisioning use cases.

Work with internal teams and, where appropriate, clients to understand business problems, data availability, analytical requirements, and expected outcomes.

Build, evaluate, and explain analytical solutions, including predictive models, scorecards, decision rules, segmentation analysis, simulations, and business insights.

Use Python and common data science libraries to clean, explore, transform, and analyze data.

Help prepare analytical outputs, client‑ready insights, model performance summaries, and business recommendations.

Contribute data science input to discovery, workshops, demonstrations, and delivery activities, with support from more experienced team members.

Help explain how machine learning, rules, explainability, monitoring, and decisioning can be applied within the Provenir platform.

Communicate technical concepts clearly to both technical and non‑technical audiences.

Document analysis, assumptions, code, and recommendations in a clear and reproducible way.

Follow and contribute to team best practices for code quality, documentation, version control, testing, and reusable delivery assets.

Collaborate with global Data Science colleagues to share learnings, improve internal approaches, and support consistent delivery across regions.

Your Strengths and Skills

Bachelor’s degree in a STEM field plus a minimum of 3 years of experience in data science, analytics, decision science, applied machine learning, or a related field; or a master’s degree or equivalent experience in a related STEM field.

Strong Python skills, including experience with pandas, scikit‑learn, notebooks, data wrangling, and model development workflows.

Experience building, validating, or interpreting supervised machine learning models.

Strong data manipulation skills, including merging, cleansing, sampling, profiling, and preparing data for analysis.

Ability to balance model performance, explainability, complexity, and business usability.

Good understanding of common model evaluation concepts such as AUC, precision, recall, lift, stability, and model monitoring.

Ability to translate analytical outputs into clear insights and recommendations.

Strong communication skills in Portuguese and English; Spanish language skills are a plus and would help strengthen regional coverage across LATAM.

Comfortable communicating with internal stakeholders and open to working directly with clients as part of project delivery and discovery.

Curious, proactive, and willing to learn new business domains, analytical methods, and platform capabilities.

Organized and delivery‑focused, with the ability to manage multiple priorities in a fast‑moving environment.

Although not essential, it would be great if you also have any of these strengths,

Experience in financial services, fintech, banking, lending, payments, insurance, telecommunications, or another data‑rich industry.

Exposure to client‑facing work, workshops, product demonstrations, or cross‑functional business discussions.

Experience with MLOps, model deployment, APIs, MLflow, CI/CD, or production model governance.

Familiarity with credit risk, fraud, collections, or customer management use cases.

Experience preparing presentations, technical documentation, or business summaries for data science initiatives.

Interview Process

The interview process would typically be structured as follows:

Initial chat. This will be with a member of our recruitment team to get a better understanding of your current situation, what you are looking for, and any questions you may have.

Technical Challenge. This is a take‑home task where you will solve a typical Data Science problem in your own time. It will give you an insight into the exciting problems we solve.

Technical Interview. This will be with your Data Science colleagues and primarily consist of technical questions.

Business Interview. This will be with senior stakeholders from Professional Services teams, and cover mostly business and behavioural competencies.

What You’ll Love about Us

Our employees are empowered to be curious, forward‑thinking leaders. We ask them to explore the uncharted and invent the unimagined. That’s what makes Provenir unique.

We offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote‑friendly options, along with benefits to plan for your future.

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.

Where we’re located

North America

Provenir Inc.
1 Upper Pond Road. Building F-4th FL
Parsippany, NJ 07054
[phone]

EMEA

Provenir (UK) Limited
76 Charlotte Street,
W1T 4QS, London, UK
[phone]

New York

85 Broad St
New York, NY 10004

Toronto

176 Yonge Street
Toronto, ON M5C 2L7, Canada

Miami

Leads

Malaysia

Get to know the people
who drive the Provenir vision