Data & AI Program - Analyst
$95k - $115k
Entry
Bachelor's, Master's
Palo Alto, CA, USA+7 moreMore locations: Delaware, USA | Newark, DE, USA | Plano, TX, USA | Chicago, IL, USA | Jersey City, NJ, USA | Columbus, OH, USA | New York, NY, USA
In PersonThe role is based at one of the listed locations; no remote or hybrid arrangement is stated.
AI & Machine LearningApplied Machine Learning
No H1B Sponsorship
About the job
Requirements
- Be pursuing a Bachelor's or Master's degree in a quantitative or technical discipline, such as Artificial Intelligence and Machine Learning, Computer Science, Data Science, Mathematics, or Statistics.
- Graduate between December 2026 and August 2027.
- Be authorized to work permanently in the United States; no prior work experience is required.
- Demonstrate knowledge of machine learning and data science principles, including prompt engineering, and experience handling large, complex datasets.
- Use programming languages such as SQL and Python.
- Use data and artificial intelligence tools such as AWS, Copilot, Snowflake, Databricks, and large language models.
- Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.
- Apply quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes such as key performance indicators, uplift, and return on investment.
- Communicate clearly in writing and verbally to translate technical work for business stakeholders and collaborate across agile, cross-functional teams.
- Translate business objectives into testable hypotheses and analytical plans, develop models and experiments, and communicate actionable recommendations to stakeholders.
- The employment offer is contingent on review of criminal conviction history, including pretrial diversions or program entries, under Section 19 of the Federal Deposit Insurance Act.
- Be authorized to work in the United States; the employer does not offer employment-based immigration sponsorship or assistance with other immigration sponsorship or benefits, including OPT or CPT.
Responsibilities
- Build intelligent systems that drive business outcomes, including machine learning models, generative artificial intelligence, and agent-based solutions.
- Work hands-on with technology to design, develop, and deploy artificial intelligence capabilities that automate processes and enhance decision-making.
- Apply data, statistics, and modeling to solve complex problems and generate actionable insights.
- Develop predictive models, test hypotheses, and analyze trends to support data-driven decisions.
- Support data governance, risk management, and data standards to help ensure data is secure, trusted, and ready for artificial intelligence use.
- Implement controls, improve data quality, and enable frameworks and structures that make solutions safe, scalable, and effective.
- Collaborate in agile teams and contribute ideas.
Desired Qualifications
- Demonstrate knowledge of machine learning and data science principles, including prompt engineering, and experience handling large, complex datasets.
- Use programming languages such as SQL and Python.
- Use data and artificial intelligence tools such as AWS, Copilot, Snowflake, Databricks, and large language models.
- Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.
- Apply quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes such as key performance indicators, uplift, and return on investment.
- Communicate clearly in writing and verbally to translate technical work for business stakeholders and collaborate across agile, cross-functional teams.
- Translate business objectives into testable hypotheses and analytical plans, develop models and experiments, and communicate actionable recommendations to stakeholders.
About the company
JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1799
Get referred to JP Morgan Chase
See people who can refer or advise you
Simplify's Take
What believers are saying
- Growth is broad-based: every JPMorgan division posted record revenue in the June 2026 quarter, and trading jumped 35%.
- Stock grants gained value: shares rose 21% in three months, valuing JPMorgan at $965 billion in August 2026.
- Tech teams are well funded: JPMorgan's nearly $20 billion yearly tech budget is the largest in banking.
What critics are saying
- AI is shrinking some teams: Dimon said in July 2026 that AI cut up to 40% of certain roles.
- Plan on five office days a week: JPMorgan ended hybrid schedules for all staff in early 2025.
- It is fighting the president in court: Trump sued JPMorgan for $5 billion in January 2026 over his closed accounts.
What makes JP Morgan Chase unique
- It ranks first in investment banking: JPMorgan earned 9.3% of global deal fees in the first half of 2026.
- It trains future CEOs: 10 Fortune 500 chiefs were JPMorgan alumni in September 2025, fifth-most of any employer.
- Its payments arm is a hidden giant: JPMorgan says it processes $12 trillion a day across 160-plus countries.
Help us improve and share your feedback! Did you find this helpful?
Benefits
- Health Insurance
- Flexible Work Hours
- Paid Sick Leave
- Paid Holidays