Senior AI Data Scientist - Generative AI & Analytics

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an AI Data Scientist Senior Associate within Payments Data and Analytics to design and implement end-to-end AI solutions with commercial impact for clients, including chat assistants and workflow automations powered by LLMs and multi-agent patterns.

You will develop data pipelines and dashboards, prototype generative AI features, and ensure quality and reliability through testing, monitoring and evaluation to improve operations and decision making.

Qualifications

• Master’s Degree in STEM or related field.
• Proficiency in Python and SQL.
• 3+ years relevant work experience.
• Experience with LLMs and agent AI techniques.
• Ability to translate strategy into deliverables.
• Knowledge of ML/data science theory.
• Strong collaboration with stakeholders.

Responsibilities

• Conceptualize solutions that automate and optimize business processes.
• Design and refine prompts to align prompts with business goals and user needs.
• Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
• Use tools like Snowflake, Python, and Tableau 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.
• Partner with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms
• Support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis.

Skills

Python

SQL

Data analysis

LLMs

Agent AI

Team collaboration

Education

Master's degree in STEM

Tools

Snowflake

Tableau

AWS

Job description

JPMorgan Chase & Co. is seeking an AI Data Scientist Senior Associate within Payments Data and Analytics to design and implement end-to-end AI solutions with commercial impact for clients, including chat assistants and workflow automations powered by LLMs and multi-agent patterns.

You will develop data pipelines and dashboards, prototype generative AI features, and ensure quality and reliability through testing, monitoring and evaluation to improve operations and decision making.