Join the Merchant Services Data & Analytics team at JPMorganChase, where we combine data science, research, and business understanding to fuel client-focused innovation. You will apply your technical skills to industry analytics and modern generative artificial intelligence solutions that create measurable impact for Chase Merchant Services clients.

As a Data Scientist Associate at JPMorganChase within Merchant Services Data & Analytics, you will execute analytics projects that generate payments insights and build intelligent solutions that improve payments performance and decision-making. You will partner closely with product, engineering, and business stakeholders to design and deliver end-to-end capabilities, including conversational assistants and workflow automation built with large language models and agent-based patterns.

Job responsibilities

Conceptualize and deliver analytics and automation solutions that improve business processes and client outcomes
Build payments insights that help merchants optimize authorization performance, chargebacks, and total cost of payments
Develop and maintain data pipelines, datasets, and dashboards using tools such as Snowflake, Python, SQL, and Tableau
Prototype and iterate on generative artificial intelligence features, including prompt design and refinement aligned to user needs
Design, execute, and document testing and evaluation to validate reliability, quality, and effectiveness of solutions
Monitor model and solution performance, identify enhancement opportunities, and implement updates to maintain relevance over time
Partner with data owners, data engineers, and business stakeholders to support development of data models and analytics methods
Support internal insights applications and external merchant insights experiences, including ad hoc client analytics requests

Required qualifications, capabilities and skills

Bachelor’s or Master’s degree in a Science, Technology, Engineering, or Mathematics field (or related discipline)
Minimum of 2 years of relevant work experience in data analytics, data science, or a related role
Proficiency in Python and SQL for data processing, analysis, and development of repeatable workflows
Experience applying quantitative research methods and analytics to real business questions
Knowledge of machine learning and data science concepts, techniques, and common tooling
Experience working with large language models and agent-based artificial intelligence techniques
Strong critical thinking and problem-solving skills, with ability to translate goals into clear deliverables
Strong collaboration skills with the ability to build partnerships across product, engineering, and business teams

Preferred qualifications, capabilities and skills

Experience with rapid prototyping and data application development using Tableau and Streamlit
Familiarity with Amazon Web Services and Snowflake for data management and analysis
Understanding of quality assurance practices and approaches that protect data integrity
Experience documenting analytic requirements and aligning stakeholders on scope and success measures
Attention to detail with a proven ability to learn new concepts and skills quickly.

Data Scientist Analyst - Consumer and Investment banking

Job description