Senior Data Scientist
Role details
Job location
Tech stack
Job description
Client Delivery & Consultancy
-
Engage directly with clients, including at senior and C-suite level, to diagnose business challenges and design data science solutions with clear, quantified business value.
-
Lead delivery of fraud, credit risk, and collections analytics projects from scoping through implementation, on time and within scope.
-
Communicate technical solutions and outcomes to non-technical audiences, including senior client stakeholders and executive sponsors.
Commercial Support
- Partner with Sales and Solutions Consulting during the commercial cycle, shaping proposals, contributing to statements of work, and providing technical credibility in client conversations.
- Help identify and qualify data science opportunities across the region, including proactively surfacing expansion opportunities within existing accounts.
Technical Execution
- Identify, source, and prepare data to enable the development, calibration, and deployment of state-of-the-art AI/ML models across the credit lifecycle.
- Stay current on emerging data science trends and techniques; propose high-leverage innovations that strengthen Provenir's competitive position.
- Contribute to analytical strategy and product development with expert input grounded in real client experience.
Team Leadership & Standards
- Mentor and coach Data Scientists within the region, raising standards of technical delivery and client consultancy.
- Operate effectively in ambiguity, pivoting fluidly between hands-on problem solving and high-level roadmapping as business needs demand.
Requirements
- 7+ years in a data science role, with hands-on expertise in supervised and unsupervised ML methods.
- Domain expertise in at least one of: fraud detection, credit risk management, or collections analytics.
- Demonstrated B2B client-facing experience, confident engaging senior stakeholders on ML products and their business value.
- Strong commercial instinct: ability to frame, estimate, and communicate ROI on data science initiatives.
- Strong data wrangling skills: merging, cleansing, sampling, and preparing complex datasets.
- Exceptional communication skills and the ability to build trust across technical and non-technical audiences.
- Fluent in Spanish and English.
Although not essential, it would be great if you also have any of these strengths:
- Experience drafting project proposals and statements of work.
- Demonstrated track record of leading data science projects and raising standards of those around you.
- MLOps best practices: CI/CD, pipeline orchestration, model monitoring.
- Industry experience in auto finance or telco financial services.
- Portuguese language skills (Brazilian or European).
Benefits & conditions
- Recruiter Screen - understanding your background, motivations, and any questions you have about the role.
- Technical Challenge - a take-home task representative of the problems you will work on.
- Technical Interview - deep-dive with Data Science colleagues.
- Commercial Interview - business and behavioral conversation with senior GAI leadership.
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.