Data Scientist (AI/ML)

Why This Role Matters

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. 

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. 

What You Bring

• 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). 

Salary : $102,000 - $146,900