J.P. Morgan
Data Science Senior Associate – Generative AI (Gen AI) – Chase Business Banking
J.P. Morgan, New York, New York, us, 10261
We’re driven by curiosity, passion, optimism, and the belief that everybody can grow.
As a Data Science Senior Associate focused on Generative AI (Gen AI) for Chase Business Banking, you will work alongside a team of data scientists to develop and implement Gen AI use‑cases that enhance Field Experience, Product Management, Customer Management, and Marketing. You will collaborate with Product Owners, Design, and Technology partners, supporting the build, evaluation and improvement of AI agents and systems. This role offers the opportunity to grow your technical, analytical, and AI skills while contributing to ethical, data‑driven decision‑making and creative problem‑solving.
Job Responsibilities
Support the development and deployment of Gen AI use‑cases for Chase Business Banking.
Experiment with designing, testing, and refining LLM prompts to optimize agent responses.
Assist in defining and tracking metrics to evaluate AI agent performance (e.g., accuracy, efficiency).
Analyze agent outputs and behaviors to identify patterns, refine prompts, and suggest improvements.
Collaborate with Data Scientists, Product Owners, Design, and Technology partners to deliver use‑case solutions.
Contribute to the design and testing of agentic AI architectures.
Communicate prompt strategies, findings, risks, and recommendations clearly to team members and stakeholders.
Demonstrate ethical awareness by identifying and mitigating bias through prompt design and experimentation.
Ensure data integrity, security, and compliance with internal and external regulations.
Required Qualifications, Capabilities, and Skills
Master’s degree in a scientific field (Computer Science, Engineering, Data Science, etc.) with 3+ years of experience in AI/ML or data science (bachelor’s degree with relevant equivalent experience are acceptable).
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, skills and capabilities
Financial services experience preferred
Experience with deploying Gen AI solutions at scale.
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As a Data Science Senior Associate focused on Generative AI (Gen AI) for Chase Business Banking, you will work alongside a team of data scientists to develop and implement Gen AI use‑cases that enhance Field Experience, Product Management, Customer Management, and Marketing. You will collaborate with Product Owners, Design, and Technology partners, supporting the build, evaluation and improvement of AI agents and systems. This role offers the opportunity to grow your technical, analytical, and AI skills while contributing to ethical, data‑driven decision‑making and creative problem‑solving.
Job Responsibilities
Support the development and deployment of Gen AI use‑cases for Chase Business Banking.
Experiment with designing, testing, and refining LLM prompts to optimize agent responses.
Assist in defining and tracking metrics to evaluate AI agent performance (e.g., accuracy, efficiency).
Analyze agent outputs and behaviors to identify patterns, refine prompts, and suggest improvements.
Collaborate with Data Scientists, Product Owners, Design, and Technology partners to deliver use‑case solutions.
Contribute to the design and testing of agentic AI architectures.
Communicate prompt strategies, findings, risks, and recommendations clearly to team members and stakeholders.
Demonstrate ethical awareness by identifying and mitigating bias through prompt design and experimentation.
Ensure data integrity, security, and compliance with internal and external regulations.
Required Qualifications, Capabilities, and Skills
Master’s degree in a scientific field (Computer Science, Engineering, Data Science, etc.) with 3+ years of experience in AI/ML or data science (bachelor’s degree with relevant equivalent experience are acceptable).
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, skills and capabilities
Financial services experience preferred
Experience with deploying Gen AI solutions at scale.
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