AI Data Scientist Lead: GenAI & Analytics

JPMorgan Chase & Co.; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an AI Data Scientist Lead within Payments Data and Analytics in New York.

The role focuses on designing and implementing end-to-end AI solutions that drive commercial impact, including chat assistants and workflow automations powered by LLMs and multi-agent patterns. You will build data pipelines and dashboards, prototype new AI capabilities, and ensure quality and reliability through testing and monitoring.

Qualifications

• Master’s Degree in STEM or related field.
• Proficiency in Python and SQL for data processing and analysis.
• 6+ years relevant work experience.
• Expertise in quantitative research techniques and analytics using Python.
• Experience with LLMs and agent AI techniques.
• Ability to translate strategy into deliverables and collaborate effectively.

Responsibilities

• Conceptualize solutions that automate and optimize business processes.
• Design and refine prompts to improve AI model performance in collaboration with SMEs.
• Iterate designs and conduct rigorous testing for reliability and effectiveness.
• Create data pipelines and dashboards using Snowflake, Python, and Tableau.
• Monitor AI model performance and implement updates to maintain quality and relevance.
• Partner with data owners, managers, data engineers, and stakeholders to develop data models and algorithms.
• Support Customer Insights applications and ad hoc client analytics requests.

Skills

Masters in STEM

Python

SQL

6+ years experience

LLMs & agent AI

Critical thinking

Data analytics

Collaboration

Education

Master’s Degree in STEM

Tools

Snowflake

Tableau

Job description

JPMorgan Chase & Co. is seeking an AI Data Scientist Lead within Payments Data and Analytics in New York.

The role focuses on designing and implementing end-to-end AI solutions that drive commercial impact, including chat assistants and workflow automations powered by LLMs and multi-agent patterns. You will build data pipelines and dashboards, prototype new AI capabilities, and ensure quality and reliability through testing and monitoring.