AI Data Scientist

### **About the Role** 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. ### **Key Responsibilities** - **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. Required Qualifications • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field. • 3+ years of experience in a data science or AI-focused role within fintech, banking, or payments. • Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. • Strong background in supervised/unsupervised learning, anomaly detection, NLP, and generative AI. • Familiarity with financial data structures, regulatory standards (e.g., PCI-DSS, GDPR), and model governance. • Experience with cloud platforms such as Snowflake for ML deployment. Preferred Qualifications • Experience in fraud analytics, risk scoring, or payment decision models. • Understanding of MLOps and continuous model monitoring in regulated environments. • Familiarity with financial transaction data, open banking APIs, or real-time payments systems. • Experience developing LLM-powered assistants or AI copilots for financial operations or support. • Strong data storytelling and visualization skills (Tableau preferred).