• Build and deploy machine learning models to solve business problems
• Perform exploratory data analysis and extract actionable insights
• Work with large datasets to identify trends, anomalies, and opportunities
• Collaborate with cross-functional teams to translate business needs into data solutions
• Develop predictive models for areas like fraud detection, customer behavior, or transaction analytics

Required Skills:

• Strong experience with Python and SQL
• Solid understanding of machine learning and statistical modeling
• Experience with libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch
• Exposure to cloud platforms (AWS / Azure / GCP)
• Experience with big data tools (Spark / Hadoop) is a plus
• Domain experience in financial services, fintech, or payments (preferred)

Nice to Have:

• Experience with fraud detection / transaction data / risk mod...