Join the Cards Data & Analytics team at JPMorgan Chase, where we leverage data science, research, and business acumen to promote client-focused innovation.
As a Data Scientist Associate within Card Analytics team, you will work on projects that integrate agentic workflows, business intelligence, data engineering, and data visualization to grow our cards business by translating data into actionable insights You will play a pivotal role in developing our generative AI use cases and approach while focusing on Affluent Segment Analytics. Your work will involve leveraging your technical skills and business acumen to collaboratively design and implement end-to-end solutions with tangible commercial impact for our clients and customers.
Utilizing tools such as Databricks, Python, Tableau and Alteryx, you will develop data pipelines and dashboards, prototype recent generative AI capabilities and features, and ensure the quality and integrity of our intelligent solutions. Your contributions will help streamline operations, enhance decision-making, and foster growth.
Responsibilities:
- Be part of Affluent Analytics team and drive Analytics driven business strategy growth.
Learn our business and how JPMorgan delivers value for our clients globally
- Leverage your technical skillset and curiosity to identify opportunities to help grow our Cards business
- Build and rigorously test new data and AI driven insights
- Build and test AI agents. Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
- Use tools like Databricks, Python, Tableau and Alteryx to create data pipelines and dashboards. Support AI-driven insights and decision-making.
- Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.
- Work on agile teams to support data-driven decision-making and client relationship management.
Required Qualifications, Capabilities, and Ski
📌 Data Scientist Associate (Bengaluru)
🏢 JPMorganChase
📍 Bengaluru
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