Senior Analyst - Data Science

Designation : Senior Analyst - Data Science Experience : 3 to 8 Years Location : Chennai

Job Description :

We are seeking an Senior Analyst – Data Science to develop fraud prediction models using machine learning. The role involves contributing to the development and deployment of machine learning models and data-driven solutions to detect suspicious activity, mitigate financial crime, and ensure compliance. The ideal candidate will combine strong technical expertise with a solid understanding of machine learning and experience in development of end-to-end model development lifecycle. Responsibilities : Assist in designing, developing, and deploying machine learning models for fraud prevention. Perform data analysis, feature engineering, and statistical modeling on large-scale transactional datasets. Collaborate with compliance, risk, and operations teams to translate requirements into actionable data science solutions. Build and maintain data pipelines using SQL, Python, and AWS services (SageMaker, Redshift, S3, Lambda). Support the integration of ML models into production environments, including Feedzai. Monitor and evaluate model performance, prepare reports, and recommend improvements. Ensure solutions align with regulatory standards and organizational policies. Provide guidance and mentorship to junior analysts where required.

Required Skillsets : Education: Bachelor’s/master’s degree in data science, Computer Science, Statistics, Applied Mathematics, or a related field. Experience: 3-8 years of experience in Data Science, with at least 2+ years in FinTech, Payments, Banking. 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. Hands-on experience in AWS cloud services (SageMaker, S3). Exposure to Feedzai or similar fraud detection platforms preferred. Strong communication and collaboration skills, with the ability to work across cross-functional teams.