We are looking for an experienced Data Scientist to join our Risk Analytics team, working on critical decision-making systems. You will work on end-to-end ML solutions that support key risk processes. The role is strongly focused on production-grade Machine Learning, with increasing emphasis on building scalable, reliable, and explainable models used in daily risk decisioning.

Challenges that await you: 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 problems (risk, profitability, growth) into data science solutions Work end-to-end: data analysis, feature engineering, model training, validation, and deployment Collaborate with product, risk, and portfolio teams to ensure models drive measurable business impact Continuously improve existing models and pipelines in a production environment Balance model performance, interpretability, and business constraints What makes you a great fit : 4+ years of professional experience as a Data Scientist Strong, hands-on experience with Machine Learning in production Proven track record of delivering measurable business impact using ML (e.g. revenue uplift, cost reduction, risk improvement, user growth)



Experience deploying models end-to-end — from idea to production Solid understanding of classical ML and modern approaches Mathematical or technical education from the following universities: MSU, MIPT, HSE, MSTU, MEPhI, NSE (preferred) Ability to explain complex models and results to non-technical stakeholders Experience in fintech, credit risk, or portfolio management is a strong plus Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to one of our hubs — Mexico — with assistance for the employee and their family Versátil work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation policy: 20 days of annual leave and paid sick leave

📌 Senior Data Scientist I (Playa del Carmen)
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📍 Playa del Carmen