At a Glance
- Tasks: Build AI solutions and data platforms that drive real business impact.
- Company: Join JPMorgan Chase, a leader in Data & AI innovation.
- Benefits: Gain hands-on experience, mentorship, and training in a collaborative environment.
- Other info: Work in dynamic teams and contribute to high-impact projects.
- Why this job: Make a difference with cutting-edge tech while developing your career.
- Qualifications: Pursuing a degree in Data Science, Machine Learning, or related fields.
The predicted salary is between 63000 - 77000 £ per year.
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.
Leveraging modern tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM), you will integrate diverse datasets, run experiments tied to key performance indicators, and deliver actionable insights. This program provides hands-on experience, mentorship, and training in a collaborative, innovation-focused environment—positioning you to contribute to high-impact initiatives across the firm while building a strong foundation in Data & AI.
As a Summer Analyst in the Data & AI Program at JPMorgan Chase, you will help drive transformation by combining your technical skills, business context, and modern tools to deliver real-world impact for our clients and customers. You will collaborate with global experts to develop end-to-end data and AI solutions and contribute to positive change for the diverse communities we serve. You will receive mentorship, training, and support as you build your career in a culture where we value your ideas and help you grow.
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.
Job Responsibilities
- Build intelligent systems that power real business outcomes, from machine learning models to generative artificial intelligence and agent-based solutions.
- Work hands-on with cutting-edge technologies 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 help teams make smarter, 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 from day one in a culture that supports your growth and impact.
- Learn through mentorship and training while building a strong foundation in data, analytics, and artificial intelligence.
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).
- Pursuing a bachelor's or master's degree with expected graduation between December 2027 and June 2028.
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, develop models and experiments, and communicate actionable recommendations to stakeholders.
Locations you may join: London, Glasgow
At JPMorgan Chase, Data & AI sits at the core of how we operate, innovate, and serve our clients. We harness advanced data, analytics, and artificial intelligence to drive better decisions, power products, and deliver real-world impact across global markets.
Our teams work at the intersection of technology and business—developing end-to-end data platforms, applying machine learning, and generating insights that shape everything from client experiences to risk management and operations. From building scalable data infrastructure to deploying AI models and visualization tools, we transform complex data into actionable intelligence.
Data & AI at JPMC is not experimental—it is embedded across the firm. Our capabilities support critical functions including trading, fraud prevention, wealth management, and cybersecurity, delivering measurable value at enterprise scale.
We operate on modern, secure platforms that enable AI and analytics at scale, providing governed environments where teams can build, analyze, and deploy solutions responsibly. This allows us to combine technical excellence with strong governance, privacy, and risk management standards.
Collaboration is at the heart of how we work. Our Data & AI professionals partner across lines of business and disciplines—bringing together engineers, data scientists, and domain experts to solve complex problems and deliver meaningful outcomes for clients and communities worldwide.
As part of the Data & AI function at JPMorgan Chase, you’ll contribute to shaping the future of financial services—working on high-impact solutions in an environment that values innovation, continuous learning, and real-world application of cutting-edge technologies.
If you're ready to put your passion for data and artificial intelligence to work in a way that makes a real difference, you’ll find your place in our Data & AI Program.
To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, JPMorgan Chase will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).
After you confirm your application, we will review it to determine whether you meet certain required qualifications.
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.
2027 Data & AI - Summer Internship - Glasgow & London in City of Westminster employer: JPMorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in the heart of London’s International Private Bank. With a strong emphasis on professional development, employees benefit from comprehensive training programs and opportunities for career advancement, all while enjoying a collaborative culture that values teamwork and innovation. The role of Executive Assistant not only provides a chance to work closely with senior leaders but also allows for meaningful contributions to the success of the team in a prestigious financial institution.
StudySmarter Expert Advice🤫
We think this is how you could land 2027 Data & AI - Summer Internship - Glasgow & London in City of Westminster
✨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 2027 Data & AI - Summer Internship - Glasgow & London in City of Westminster
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 JPMorgan Chase & Co. 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 JPMorgan Chase & Co.
✨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 JPMorgan Chase & Co..
✨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 JPMorgan Chase & Co. that you’re not just looking for experience, but that you're keen to contribute and grow within the team.