At a Glance
- Tasks: Join a hackathon to analyse data and create solutions for nonprofits.
- Company: Be part of JPMorganChase's Tech for Social Good team.
- Benefits: Gain hands-on experience, network with professionals, and travel expenses covered.
- Other info: Opportunity to be considered for a summer internship after the event.
- Why this job: Make a real impact while exploring a career in financial services technology.
- Qualifications: Pursuing a degree in a quantitative field; no prior experience needed.
The predicted salary is between 19350 - 23650 £ per year.
Join Data for Good, a social impact hackathon hosted by JPMorgan Chase’s Tech for Social Good team, where your analytical and coding skills can make a difference for nonprofit organizations. Discover if a career in financial services technology is your calling, as you unlock your potential with a dynamic team of innovative technologists. Participating in Data for Good may also lead to an opportunity for you to learn more about and be considered for a 2027 Data & AI Program summer internship.
Tech for Social Good at JPMorgan Chase is focused on driving impact in our communities through the skills of our tech workforce. By attending Data for Good, you will collaborate with our expert Data and AI professionals to creatively address real-world challenges faced by nonprofit organizations, fostering innovation and impact. This experience offers you the chance to network with fellow aspiring Data and AI professionals across the country and engage with our recruiting teams, providing insight into data focused roles at JPMorgan Chase.
Over two days (Friday – Saturday), you and your team will analyse large, social good data sets and derive insights for a leading nonprofit organization, with travel expenses covered under certain conditions. As a Summer Analyst in the Data & AI Program at JPMorgan Chase, you’ll drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in agile teams, you will design scalable data platforms and pipelines, develop production-ready models, create intuitive dashboards, and ensure strong data governance, privacy, and compliance.
Please note, to be considered for internship opportunities, Data for Good participants will be required to participate in the standard hiring process, including additional interview steps. Additional information, including application details, to be provided to Data for Good participants. We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close.
Event Expectations
- Own projects end-to-end, ensuring teams and stakeholders are informed about development progress.
- Collaborate and share ideas, information, and innovation with our global team of technologists.
- Develop skills through ongoing training, mentorship, and access to senior leaders.
- Share data-driven recommendations and insights that impact our stakeholders.
- Work on agile teams alongside peers and experienced data and AI professionals.
Required qualifications, capabilities and skills
- Pursuing a Bachelor’s or Master’s degree in a quantitative or technical discipline (e.g., Data Science, Machine Learning, Computer Science, or Mathematics).
- Graduating between January 2027 and September 2028.
- Meeting the role requirement that no prior work experience is needed.
Preferred qualifications, capabilities and skills
- Demonstrates strong knowledge of machine learning, data science principles, including prompt engineering, with experience handling large, complex datasets.
- Use programming languages such as SQL and Python.
- Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM).
- Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.
- Apply strong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift, 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, develops models and experiments, and communicates actionable recommendations to stakeholders.
Locations you may join: Glasgow, UK
Data for Good Hackathon Details:
- Location: Glasgow
- Event Date: Friday, October 9th – Saturday, October 10th
- Applications Close: Friday, September 25th
What’s Next?
To be considered for the Data for Good Hackathon, you must complete the following steps: Please ensure read the Official Rules before you start this application. Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume is a way for us to initially get to know you, so it’s important to complete all relevant application questions so we have as much information about you as possible. After you submit your application, we will review it to determine whether you meet certain required qualifications. Selected applicants will be notified via email with final event details. Attendees will need to bring their own laptops to the event.
JPMorgan Chase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We will provide reasonable accommodations for applicants with disabilities.
Visit jpmorganchase.com/careers for upcoming events, career advice, our locations and more.
2026 Data for Good- Glasgow employer: JPMorganChase
JPMorganChase is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. With a strong commitment to diversity and inclusion, employees benefit from collaborative agile teams, extensive professional development opportunities, and the chance to work on cutting-edge technology products that shape the future of finance. Join us to be part of a culture that values your contributions and supports your growth.
StudySmarter Expert Advice🤫
We think this is how you could land 2026 Data for Good- Glasgow
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace 2026 Data for Good- Glasgow
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at JPMorganChase will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at JPMorganChase
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress JPMorganChase.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show JPMorganChase that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
