Data Scientist (Fintech)

TL;DR

Data Scientist (ML/Fintech): Building intelligent systems for automated merchant onboarding and verification with an accent on bridging data science and production-grade engineering. Focus on designing and deploying production-ready ML models, scalable data pipelines, and MLOps infrastructure to reduce manual friction.

Location: Milan

Company

hirify.global is one of Europe's fastest-growing fintechs, providing an all-in-one platform for businesses to manage payments and money effortlessly.

What you will do

• Build and deploy production-ready ML models to automate merchant verification and onboarding workflows.
• Develop scalable data pipelines and feature stores to power real-time decision-making systems.
• Implement robust MLOps infrastructure for efficient model monitoring and retraining.
• Integrate AI solutions to reduce manual intervention and accelerate time-to-revenue for new merchants.
• Create clean, modular code and technical documentation to set standards for ML engineering.

Requirements

• Solid experience deploying machine learning models into production environments at scale.
• Deep proficiency in Python and modern ML frameworks like PyTorch, TensorFlow, or Scikit-learn.
• Strong engineering fundamentals with experience in SQL, cloud infrastructure (GCP preferred), and CI/CD practices.
• Results-driven mindset with a priority on solving business problems over model complexity.
• Collaborative spirit for working with Product and Risk teams.
• CV must be submitted in English.

Culture & Benefits

• Personalized growth paths with regular feedback and transparent performance reviews.
• Fair and transparent salary reviews.
• Opportunities for internal mobility and exploring new projects or career paths.
• High-performance culture driven by an "Always Be Shipping" philosophy.
• Heavy emphasis on integrating AI across all roles and teams.