Location: Wilmington, DE, United States

We’re driven by curiosity, passion, optimism, and the belief that everybody can grow. 

As a Data Scientist Lead in our Card Analytics team, you will work on projects that integrate agentic workflows, business intelligence, data engineering, and data visualization to grow our cards business.  You will play a pivotal role in developing our generative AI use cases and approach while focusing on Digital Analytics and Customer Journey. 

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 new 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 through innovative AI applications. 

Job Responsibilities 

• 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  
• Develop scalable frameworks for seamless AI model integration across business applications. Ensure solutions can adapt and expand as needed. 
• 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 Skills 

• Degree in a scientific field (Computer Science, Engineering, Data Science, etc.) with 6+ years of experience in AI/ML or data science 
• Understanding of AI models, including large language model (LLM) capabilities and limitations.
• Experience with statistical analysis, data-driven decision-making, and pattern identification.
• Familiarity with AI/ML model evaluation and relevant metrics.
• Creative problem-solving skills.
• Experience with Python and SQL.
• Exposure to cloud platforms such as AWS, GCP, or Azure, and SDLC concepts.
• Strong communication and collaboration skills, with the ability to work effectively in teams.
• Willingness to learn and contribute to agentic AI architectures. 

Preferred Qualifications, Capabilities, and Skills 

• Experience in data analysis, data science, or related fields. 
• Familiarity with AWS, Databricks for data management and analysis. 
• Understanding of quality assurance practices and the importance of data integrity. 
• Knowledge of machine learning/data science theory, techniques, and tools. 
• Awareness of big data technologies (e.g., Spark) and distributed computing concepts like MapReduce.