JPMorganChase is offering opportunities in Data & AI, with roles spanning data engineering, analytics, artificial intelligence and machine learning. The firm’s Data & AI ecosystem combines centralized data and AI functions with teams embedded across businesses such as payments, consumer banking and markets.
For graduates and students building careers in machine learning, analytics or data engineering, these opportunities provide exposure to large datasets, model development, production systems and real-world financial applications.
JPMorganChase Data & AI Opportunities
JPMorganChase’s Chief Data & Analytics Office (CDAO) establishes firmwide strategy, governance, risk controls and tooling for data and AI. Its ecosystem includes data management, data quality, model-risk frameworks and AI platforms.
Business-embedded Data & AI teams then use these capabilities to develop and deploy solutions for areas including:
- Fraud detection
- Credit risk
- Trading and liquidity optimisation
- Customer personalisation
- Operational efficiency
The opportunities can involve data engineering, analytics, AI and machine learning, including work with large datasets, feature pipelines and production systems.
What Career Paths Are Available?
The Data & AI programme highlights several areas where candidates can build their careers:
Data Engineering and Data Products
Professionals can work on engineering data systems and developing data products that support business decisions and technology solutions.
Analytics and Insights
These roles involve using data to identify insights and help businesses make better-informed decisions.
Artificial Intelligence and Machine Learning
Candidates interested in machine learning can explore opportunities involving AI and ML solutions, model development and deployment.
Strategy and Problem Solving
The programme also includes opportunities that combine technical capabilities with business and strategic problem-solving.
2027 Data and AI Summer Internship
JPMorganChase currently lists a 2027 Data & AI Program – Summer Internship – Analyst – United States.
The position is available across several U.S. locations, including:
- Chicago, Illinois
- Columbus, Ohio
- Wilmington, Delaware
- New York, New York
- Plano, Texas
- Jersey City, New Jersey
- Newark, Delaware
- Palo Alto, California
Application deadline: November 6, 2026.
2027 Data for Good Hackathon
JPMorganChase also lists a 2027 Data for Good Hackathon – Data & AI Program – Summer Internship.
The opportunity is available in the United States, with locations including Chicago, Columbus, Wilmington, New York, Plano, Jersey City, Newark, and Palo Alto.
Application deadline: October 12, 2026.
2026 Data for Good Opportunity
The careers page additionally lists a 2026 Data for Good – Glasgow opportunity in the Europe, Middle East and Africa region.
Location: Glasgow, United Kingdom
Application deadline: October 9, 2026
Who Should Consider These Opportunities?
These opportunities may be particularly relevant to students and graduates developing skills in:
- Machine learning
- Artificial intelligence
- Data science
- Data analytics
- Data engineering
- Software engineering
- Technology
- Statistics
- Quantitative analysis
The supplied source specifically describes opportunities involving large datasets, feature pipelines, AI/ML models, and production systems.
Why JPMorganChase Data and AI Roles Stand Out
A major attraction is the opportunity to apply technical skills to real business problems rather than working exclusively on theoretical projects.
JPMorganChase identifies applications including fraud detection, credit risk, trading and liquidity optimisation, customer personalisation and operational efficiency.
This means candidates can potentially gain exposure to how data and AI are used within a major financial institution.
How to Apply
Interested candidates can search the available JPMorganChase Data & AI opportunities through the company’s careers platform.
JPMorganChase Data & AI Careers
For the 2027 Data & AI Program – Summer Internship – Analyst – United States, applications close on November 6, 2026, according to the supplied source.
Candidates should check the individual vacancy before applying because availability and locations can change.
Application Tips for Machine Learning Candidates
If you are applying for a Data & AI opportunity, make your technical background easy to identify. Your CV can highlight relevant experience with:
Python, machine learning, statistics, data analysis, SQL, data engineering, artificial intelligence, algorithms, cloud technologies, model development and data visualisation.
Projects can also strengthen an application, particularly where you can demonstrate how you used data to solve a measurable problem.
Important Dates
| Opportunity | Location | Deadline |
|---|---|---|
| 2026 Data for Good | Glasgow | October 9, 2026 |
| 2027 Data for Good Hackathon – Data & AI Summer Internship | United States | October 12, 2026 |
| 2027 Data & AI Program – Summer Internship – Analyst | United States | November 6, 2026 |
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