TL;DR

Senior Data Scientist (Fintech): Developing and improving ML-based credit risk models and decision frameworks for a high-tech financial platform with an accent on production-grade model deployment, feature engineering, and analytical tool design. Focus on translating complex business challenges into scalable data science solutions that directly impact credit portfolio performance and profitability.

Location: Must be based in or be able to relocate to Mexico. Hybrid or onsite work available.

Salary: From €6,000/month gross.

Company

Plata is a high-tech financial platform dedicated to simplifying and improving the accessibility and reliability of financial experiences for users in Mexico.

What you will do

Develop and improve ML models for credit application approval and credit limit assignment.
Build ML-based decision frameworks and analytical tools for credit portfolio management.
Translate business goals regarding risk, profitability, and growth into actionable data science solutions.
Manage the end-to-end ML lifecycle: from data analysis and feature engineering to model training and deployment.
Collaborate with product, risk, and portfolio teams to ensure model impact on business KPIs.
Maintain and optimize production pipelines to ensure model interpretability and performance.

Requirements

4+ years of professional experience as a Data Scientist.
Proven experience deploying Machine Learning models to production.
Strong track record of delivering measurable business impact.
Solid understanding of classical ML and modern approaches.
Ability to communicate complex model outputs to non-technical stakeholders.
Language requirement: English B1+ Intermediate.

Nice to have

Experience in fintech, credit risk, or portfolio management.
Background in technical universities (e.g., MSU, MIPT, HSE, MSTU, MEPhI, NSE).

Culture & Benefits

Relocation support to Mexico provided for the employee and family.
Healthcare coverage.
Education budget for language learning and certifications.
Wellness budget for fitness and mental health.
20 days of annual leave plus paid sick leave.
High-tech environment with a focus on innovative solutions and open feedback.