Years of Experience: 1-15 years Experience: 1+ years of experience in Data Science and experience in FinTech, Payments, Banking is preferred. Strong programming and analytical skills with Python, SQL, and statistical techniques. Experience in applying machine learning methods such as classification, clustering, anomaly detection, and NLP. Implementing existing research / developing novel algorithms, technical solutions to combat fraud and anti- money laundering (AML) use cases.