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Senior Data Scientist

Provenirinc
CompanyProvenirinc
CategoryData & Analytics
LocationSpain
RemoteRemote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted6 Apr 2026
Last verified3 Aug 2026
SourceEmployer ATS (ashby)
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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 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; the ideal candidate is based in Madrid or is willing to travel there, typically no more than once a month. Occasional travel may be required for regional team meet-ups and client meetings. Your Responsibilities 🚀 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
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