Senior AI Data Scientist — Payments Analytics & GenAI

J.P. Morgan; New York (NY); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Comprehensive health care

On-site wellness centers

Retirement savings plan

Job summary

JPMorganChase is seeking an AI Data Scientist Senior Associate within Payments Data and Analytics to design and implement end-to-end AI solutions, including chat assistants and workflow automations. You will develop data pipelines and dashboards, prototype generative AI capabilities, and ensure quality and reliability through testing and monitoring.

You will collaborate with data owners and engineers to build data models and algorithms, supporting customer insights applications and ad hoc

Qualifications

• Master’s degree in STEM or related field required.
• Proficiency in Python and SQL for data processing and analysis.
• 3+ years of relevant work experience.
• Strong quantitative research techniques and analytics using Python.
• Ability to translate strategy into deliverables.

Responsibilities

• Conceptualize solutions that automate and optimize business processes.
• Design and refine prompts to improve AI model performance with SMEs.
• Iterate designs to enhance functionality and user experience.
• Create data pipelines and dashboards using Snowflake, Python, and Tableau.
• Monitor AI model performance and implement updates.
• Collaborate with data owners, managers, data engineers and other stakeholders.
• Support client analytics requests and insights on an ad hoc basis.

Skills

Python

SQL

LLMs & agent AI

3+ years experience

Critical thinking

Collaboration

Education

Master’s Degree in STEM

Tools

Snowflake

Tableau

Job description

JPMorganChase is seeking an AI Data Scientist Senior Associate within Payments Data and Analytics to design and implement end-to-end AI solutions, including chat assistants and workflow automations. You will develop data pipelines and dashboards, prototype generative AI capabilities, and ensure quality and reliability through testing and monitoring.

You will collaborate with data owners and engineers to build data models and algorithms, supporting customer insights applications and ad hoc