This listing doesn't post a salary. Most similar roles pay
$126,800–$222,226.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
2027 Data for Good Hackathon - Data & AI Program - Summer Internship involves participating in a social impact hackathon where you will collaborate with expert data and artificial intelligence professionals to address real-world challenges faced by nonprofit organizations. You will analyze large, complex datasets to derive actionable insights and develop end-to-end solutions that translate business objectives into measurable outcomes. The role requires building scalable data platforms, pipelines, production-ready models, and intuitive dashboards while ensuring strict data governance and privacy compliance. Candidates should possess skills in machine learning, data science principles, prompt engineering, and programming languages like SQL and Python. You will also utilize tools such as AWS, CoPilot, Snowflake, DataBricks, and LLMs. This role focuses on solving technical problems for the nonprofit sector by applying quantitative problem-solving to create impactful, data-driven recommendations within an agile team environment.
Analyze large social good datasets to derive actionable insights for nonprofit organizations.
Build end-to-end data, analytics, and machine learning solutions to meet business objectives.
Design scalable data platforms and pipelines using tools like SQL, Python, and Snowflake.
Develop production-ready models and create intuitive dashboards for stakeholders.
Ensure data governance, privacy, and regulatory compliance across all projects.
Translate complex technical work into clear recommendations for non-technical business stakeholders.
Manage projects from start to finish while keeping team members and stakeholders informed of progress.
What we're looking for
Pursuing a Bachelor’s or Master’s degree in a quantitative or technical discipline such as Data Science, Machine Learning, Computer Science, or Mathematics.
Graduating between December 2027 and August 2028.
Authorized to work permanently in the United States.
No prior work experience is required.
Strong knowledge of machine learning and data science principles, including prompt engineering, with experience handling large, complex datasets (preferred).
Proficiency in programming languages such as SQL and Python (preferred).
Experience using data and artificial intelligence tools like AWS, CoPilot, Snowflake, DataBricks, or LLMs (preferred).
Understanding of data management, governance, platforms, pipelines, models, privacy, and regulatory compliance (preferred).
Python
SQL
PL/SQL
Snowflake
GitHub
ETL
ELT
Data Pipelines
AWS
Azure
Google Cloud
Tableau
Machine Learning
Generative AI
NLP
Agile
Data Modeling
Data Quality
Python
SQL
PL/SQL
Snowflake
GitHub
ETL
ELT
Data Pipelines
AWS
Azure
Google Cloud
Tableau
Machine Learning
Generative AI
NLP
Agile
Data Modeling
Data Quality
Python
SQL
PL/SQL
Snowflake
GitHub
ETL
ELT
Data Pipelines
AWS
Azure
Google Cloud
Machine Learning
Generative AI
Tableau
Agile
Data Modeling
Data Quality
NLP
Copilot