The role
From JPMorgan Chase's own posting.
Join us in redefining how artificial intelligence accelerates business impact. As an AI & Data Scientist, you have the opportunity to shape the future of workforce analytics and drive meaningful change. You’ll collaborate with talented colleagues, leverage cutting-edge tools, and contribute to a pioneering operating environment. We invest in your growth, offering hands-on experience and the chance to make a real difference. Your expertise will help us deliver faster, smarter solutions that empower our organization.
As an AI & Data Scientist in the HR Data & Analytics team, you will apply advanced analytics, machine learning, and artificial intelligence techniques to transform workforce data into actionable insights and solutions. You will partner with business leaders, product teams, and technologists to develop models, evaluate outcomes, and deliver AI-powered capabilities that support evidence-based workforce decisions. You will contribute to building an artificial-intelligence-native operating environment, focusing on model factories, evaluation frameworks, and agentic engineering tools. Your work will help accelerate the delivery of innovative AI solutions within a regulated environment.
Job Responsibilities:
Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges
Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations
Contribute to model factories and evaluation frameworks that improve model quality, scalability, and operational efficiency
Apply agentic, specification-driven, and evaluation-driven development approaches to accelerate solution delivery
Partner with business stakeholders to translate requirements into analytical solutions and measurable outcomes
Collaborate with technology teams to build scalable, reliable, and secure analytics and AI products
Identify opportunities to reduce costs, improve controls, enhance employee experiences, and expand organizational capabilities through data-driven solutions
Support adoption of reusable methodologies, tools, and vendor capabilities where appropriate
Communicate findings and recommendations clearly to technical and non-technical audiences
Ensure adherence to all applicable risk, control, and governance requirements
Required Qualifications, Capabilities, and Skills:
Bachelor’s degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline
Experience developing and deploying machine learning or AI solutions using modern tools and techniques
Working knowledge of large language models, agentic frameworks, or generative AI technologies
Experience with statistical analysis, experimentation, and model evaluation methodologies
Proficiency in Python, SQL, and data science tooling used in enterprise environments
Strong analytical, problem-solving, and communication skills
Ability to manage multiple priorities and deliver results in a collaborative environment
Preferred Qualifications, Capabilities, and Skills:
Advanced degree in a quantitative discipline
Experience building automated machine learning or model evaluation workflows
Experience with AI, machine learning, or analytics solutions in a regulated environment
Familiarity with cloud-based data and analytics platforms
Experience collaborating across business, product, and technology teams