Data Scientist Associate - Payments
Company: JPMorganChase
Location: Plano
Posted on: April 4, 2026
|
|
|
Job Description:
Description Join the JPM Payments Data & Analytics' Merchant
Services Cost Insights team at JPMorganChase, where we leverage
data science, research, and business acumen to promote
client-focused innovation. Apply your technical skills to projects
involving cost-based analytics and cutting-edge GenAI and agentic
AI applications, creating impactful solutions for Chase Merchant
Services clients. As a Data Science Associate in our Merchant
Services Cost Insights team within the Commercial Investment Bank
Global Payments team, you will play a pivotal role in developing
AI-driven models and GenAI/agentic AI solutions that automate
repeatable tasks, creating efficiencies in business processes to
drive value and growth. You’ll engage in projects that integrate
data science, research, and business domain expertise, focusing on
cost-based analytics, business intelligence, data engineering, and
visualization. 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, including chat assistants and workflow
automations powered by LLMs and multi-agent patterns. Our team
supports both internal Payment Insights and external Digital
Merchant Insights applications, as well as custom client analytics
requests on an ad hoc basis. Utilizing tools such as Snowflake,
Python, and Tableau, you will develop data pipelines and
dashboards, prototype and iterate on new generative AI capabilities
and features, and ensure the quality, integrity, and reliability of
our intelligent solutions through testing, evaluation, and
monitoring. Your contributions will help streamline operations,
enhance decision-making, and foster growth through innovative AI
applications. Job Responsibilities • Creation of chat assistants
using multi-agent AI workflows. • Conceptualize solutions that
automate and optimize business processes. • Design and refine
prompts to improve AI model performance. Work with subject matter
experts to align prompts with business goals and user needs. •
Provide merchants with actionable recommendations to enhance their
cost strategies. • 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, including requirements and success metrics
for GenAI/agentic workflows. • Support internal Payment Insights
and external Digital Merchant Insights applications, as well as
custom client analytics requests on an ad hoc basis. Required
Qualifications, Capabilities, and Skills • Bachelor’s or Master’s
Degree in Science, Technology, Engineering, Mathematics (STEM) or a
related field. • Proficiency in Python and SQL for data processing
and analysis. • Minimum 1 year relevant work experience. •
Expertise in quantitative research techniques and analytics using
Python. • Proven critical thinking and creative problem-solving
skills with ability to translate strategy into deliverables. •
Knowledge of machine learning/data science theory, techniques, and
tools. • Experience in leveraging Large Language Models (LLMs) and
agent AI techniques. • Ability to collaborate effectively and
cultivate strong partnerships. Preferred Qualifications,
Capabilities, and Skills • Experience in data analysis, data
science, or a related field. • Ability to perform rapid prototyping
in Tableau and streamlit. • Familiarity with AWS, Snowflake for
data management and analysis. • Attention to detail with a proven
ability to learn new concepts and skills quickly. • Understanding
of quality assurance practices and the importance of data
integrity. • Ability to clearly develop and document analytic
requirements with stakeholders. • Familiarity with
evaluation/monitoring concepts for GenAI solutions (e.g., test
cases, human-in-the-loop feedback, basic quality metrics) to
support reliable deployments.
Keywords: JPMorganChase, Fort Worth , Data Scientist Associate - Payments, IT / Software / Systems , Plano, Texas
