Infosys

+ About the job:

The Associate Fraud Risk Data Scientist will develop and support AI and machine learning models that detect and mitigate fraud across digital platforms. This role combines technical expertise in data science with business acumen to drive risk management innovation through advanced analytics and automation.

+ We’re looking for someone who:

• Has 2–6 years of experience in machine learning, AI, data science, or risk analytics (experience in eCommerce, payments, or fraud detection preferred)
• Holds a bachelor’s or master’s degree in Data Science, Mathematics, Statistics, or a related field
• Is proficient in SQL, Python, AWS, and Excel with key data science libraries
• Has experience with data visualization tools such as Tableau
• Works comfortably with large datasets and complex modeling workflows
• Communicates technical findings clearly to business partners and executives
• Can lead AI and ML projects from concept to implementation with measurable results
• (Preferred) Has experience developing or implementing AI tools such as LLMs for risk applications

+ What you’ll do:

• Design, develop, and implement machine learning and AI models to detect and prevent fraud
• Support cross-functional teams in leveraging models effectively for risk mitigation
• Collaborate with product and engineering to deploy, monitor, and refine AI-driven solutions
• Drive AI transformation initiatives within the risk management organization
• Use data analysis to inform fraud strategy and model improvements
• Develop dashboards and visualizations to monitor KPIs and model performance
• Present insights and recommendations to stakeholders across all levels

+ Why you’ll love working here:

• Weekly pay
• Paid sick leave
• Health, vision, dental, pet insurance, and more

Job Types: Full-time, Contract

Pay: Up to $50.00 per hour

Benefits:

• Dental insurance
• Health insurance
• Vision insurance

Work Location: In person