2026 Data Science Analyst - Summer Internship - Glasgow & London

Join our 2026 Data Science Program, and propel your career to new heights with a team of innovative technologists. Engage in diverse projects, gain new skills, and create positive change for the communities we serve. We value your unique skills and innovative ideas within our supportive and diverse technology organization. Ready to tackle big challenges with a global technology team? We're eager to meet you.

ABOUT THE PROGRAM

As a Summer Analyst in the Data & Analytics organization at JPMorganChase, you will deliver excellence at the intersection of data science, research, and business domain expertise. You will work on projects focusing on machine learning, business intelligence, data engineering, and visualization, combining your technical skills and understanding of the business context to collaboratively develop end-to-end solutions with commercial, real-world impact on our clients and customers.

Whether you’re working on projects that focus on machine learning, business intelligence, data engineering, and/or visualization, you will have the opportunity to combine your technical skills and understanding of the business context to collaboratively develop end-to-end solutions with commercial, real-world impact on our clients and customers. 

Our areas of focus include Big Data Analytics, Deep Learning, Reinforcement Learning, Natural Language Processing, Classical Machine Learning, Time Series, Automation, and Interpretability of results in relation to business objectives.

 Your professional growth and development will be supported throughout the internship program via project work related to your professional interests, mentorship, engaging speaker series with senior leaders and more. Full-time employment offers may be extended upon successful completion of the program.

Job responsibilities 

Create innovative solutions that make a difference for our customers, clients, and employees. Work on agile teams with peers and experienced data scientists

Required qualifications, capabilities and skills

Pursuing a Bachelor’s Degree in Science, Technology, Engineering, Mathematics (STEM) or related major with analytically rigorous coursework, including at least one completed course related to quantitative analytics with an expected graduation between December 2026 and August 2027 Knowledge of and proficiency in Python and willingness to learn and apply other languages such as SQL during internship

Preferred qualifications, capabilities and skills

Knowledge of machine learning / data science theory, techniques and tools and experience working with large disparate data sets Experience in mathematics and statistics modelling Awareness of big data technologies (Hive, Hadoop, Spark) and/or computer clusters Awareness of standard analytical tech stacks (Jupyter Notebooks, AWS, Spark, PyTorch, R, Strong communication skills and the ability to present findings in an understandable manner to a non-technical audience  Clearly explain thought processes and understand instructions, while actively seeking clarification when needed Knowledge about applications of statistics, analytical methods, and large language models (LLMs) would considered be a plus

Locations you may join:

London, UK  Glasgow, UK

What’s next?

Help us learn about you by submitting a complete and thoughtful application, which includes your resume and location preference. Your application and resume are 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 confirm your application, we will review it to determine whether you meet certain required qualifications. 

If you are advanced to the next step of the process, you’ll receive an email invitation to complete a coding challenge powered by HackerRank and a recorded video interview powered by HireVue. This is your opportunity to further bring your resume to life and showcase your experience for our recruiting team and hiring managers.

HackerRank and HireVue are required, and your application will not be considered for further review until you have completed these steps. We strongly encourage that you apply and complete these required elements as soon as possible, since programs will close as positions are filled.

Applications will be reviewed on a rolling basis. We strongly encourage you to submit your application as early as possible as programs will close once positions are filled.

JPMorgan Chase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We strive to hire qualified, diverse candidates, and we will provide reasonable accommodations for known disabilities.

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2025 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer. Including affirmative action employer Disability/Veteran.