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Senior Data Scientist

Role overview

Qualifications

  • 7+ years in a data science role with hands-on expertise in supervised and unsupervised ML methods
  • Domain expertise in fraud detection, credit risk management, or collections analytics
  • Demonstrated B2B client-facing experience engaging senior stakeholders on ML products and business value
  • Fluent in Spanish and English

Responsibilities

  • Engage directly with clients to diagnose business challenges and design data science solutions with 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 to non-technical audiences, including senior client stakeholders and executive sponsors
  • Partner with Sales and Solutions Consulting during the commercial cycle, shaping proposals and statements of work, providing technical credibility in client conversations

About the company

Provenir logo

Provenir

Computer Software / SaaS

Provenir helps banks, fintechs and financial services providers make smarter decisions faster with our AI-Powered Risk Decisioning Platform. Provenir brings together the three essential components needed – data, AI and decisioning – into one unified risk decisioning solution to help organizations provide world-class consumer experiences. This unique offering gives organizations the ability to power decisioning innovation across the full customer lifecycle, driving improvements in the customer experience, access to financial services, business agility, and more. Provenir works with disruptive financial services organizations in more than 50 countries and processes more than 4 billion transactions annually.

Company details

IndustryComputer Software / SaaS
Company size201 - 500

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Job description

Who We Are

Provenir is a global fintech company with offices across North America, the UK, and Singapore backed by talented teams across APAC, EMEA, and LATAM. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you’d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you!

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, but you must be based in Madrid, Spain. 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 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.

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).

Interview Process 💬

We run a straightforward four-stage process:

  • 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.

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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