As a Data Scientist in Consumer and Community Banking’s Data & Analytics team, you’ll play a pivotal role in shaping JPMC’s AI strategy, you’ll enable a new paradigm of analysis and insights by helping make our extensive data assets AI-ready. Your expertise in Natural Language Processing (NLP), Artificial Intelligence (AI), and Machine Learning (ML) will be key to building innovative tools to enhance metadata quality and delivering actionable insights. You will collaborate closely with product and technology teams, creatively translating complex business challenges into scalable, data-driven solutions. Join a collaborative and thoughtful team where your problem-solving skills will drive data discoverability and strengthen governance across the organization.

 

Job Responsibilities

Leverage statistical tools, machine learning, and generative AI to modernize data at scaleApply NLP methods to analyze and extract information from large, diverse datasetsIdentify and prototype creative solutions to address user needs and business challengesEstablish best practices and design pipelines for data validation and quality assuranceDevelop data models and architectures to support metadata managementCollaborate with product and tech teams to translate business requirements into data-driven and AI-powered solutions

 

Required Qualifications, Capabilities, and Skills

5+ years of experience as a data science professional, or equivalentBachelor’s degree in Computer Science, Computational Linguistics, or a related disciplineProficiency in ML, NLP, and generative/agentic AI tools and technologies (e.g., Python, scikit-learn, Hugging Face, OpenAI)Excellent communication and collaboration skills, with the ability to convey subject matter expertise and complex AI concepts to non-technical audiencesStrong organizational skills, including the ability to manage multiple projects, prioritize conflicting deadlines, and adapt to ambiguity

 

Preferred Qualifications, Capabilities, and Skills

Master’s degree or PhD in Computer Science, Computational Linguistics, or a related disciplineExperience with structured data, semantic vocabularies, knowledge graphs, and complex data ecosystems