What You’ll Do
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This is a commercially significant hire. You will be the Data Science business partner for Spain and the Ibero‑America region, working directly with clients to shape and deliver high‑impact solutions in fraud, credit risk, and collections. You will also contribute to EMEA engagements where your expertise is the right fit.
This is not a back‑room modelling role. You will be in front of clients, understanding their business challenges, designing solutions that create measurable value, and communicating that value clearly to senior stakeholders. You will also support the commercial pipeline, partnering with Sales and Solutions Consulting to shape opportunities and win new business.
Reporting to the Head of Data Science within GAI, you will have the backing of a strong global practice and the platform to build a reputation in one of our most strategically important regions.
This is a remote role, but you must be based in Madrid, Spain. Occasional travel may be required for regional team meet‑ups and client meetings.
Your Responsibilities
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 road‑mapping as business needs demand.
Your Strengths And Skills
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.
Additional Strengths (Optional)
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).
Our employees are our top priority; we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, adaptable 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. xcskxlj We encourage people from all backgrounds to apply.
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