Data Scientist AI/ML

We’re looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You’ll work on developing intelligent systems that power risk modeling, fraud prevention, customer insights and targeting, and payment optimization. Your models will have a direct impact on financial decisions, operational efficiency, and customer trust across our products.

💥 Why This Role Matters

This role matters because it sits at the intersection of advanced AI and real-world financial decision-making, where the impact of data science is immediate, measurable, and high-stakes. By building intelligent models for risk, fraud detection, and payment optimization, the Data Scientist directly helps protect customers, improve transaction accuracy, and drive business growth. In a fintech environment where trust, speed, and compliance are critical, this role ensures that data is not just analyzed but transformed into actionable systems that power secure and efficient financial experiences. Beyond technical execution, the position also shapes innovation by integrating cutting-edge AI, like generative models and LLMs, into core products, enabling smarter operations and more personalized customer interactions.

🚀 What You’ll Do

• AI-Driven Insights: Develop and deploy advanced machine learning models to optimize customer targeting, payment monitoring and growth and operational efficiency opportunities.

• Predictive Modeling: Build forecasting models to improve transaction accuracy, detect anomalies, and assess financial risk.

• Data Engineering & Feature Design: Clean, transform, and model large, high-velocity financial datasets with attention to data integrity and compliance.

• AI Product Integration: Collaborate with Product to integrate AI solutions into production systems for real-time financial decisioning.

• Experimentation: Lead A/B tests and model performance evaluations to validate model effectiveness and regulatory compliance.

• Communication: Translate technical findings into actionable insights for business leaders and compliance teams.

• Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy.