Senior Data Scientist Consultant

Posted 12 Hours Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Fintech • Machine Learning • Software
The Role
Serve as the Data Science business partner for Ibero-America, leading client-facing projects in fraud, credit risk, and collections. Design, implement, and communicate ML solutions, support sales and proposals, mentor regional data scientists, and contribute to product and analytical strategy. Remote role requiring Mexico City base with occasional travel.
Summary Generated by Built In

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 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 Mexico City, Mexico. 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.

Skills Required

  • 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 engaging senior stakeholders on ML products and 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; fluent in Spanish and English.
  • Must be based in Mexico City, Mexico (remote role but location required).
  • 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).
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The Company
286 Employees
Year Founded: 2004

What We Do

Provenir is a global leader in AI-powered risk decisioning and data analytics software. The company provides a low-code, cloud-native platform that helps financial institutions, including banks, fintechs, and lenders, automate the entire customer lifecycle—from credit risk onboarding and identity verification to customer management and collections. Their mission is to empower businesses to make smarter, real-time decisions to drive growth and improve customer experiences.

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