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
Skills Required
- 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 enterprise data science tooling
- Strong analytical, problem-solving, and communication skills
- Ability to manage multiple priorities and deliver results in a collaborative environment
- 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
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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