2027 Summer Internship - Group Internal Consulting - AI Engineer

UBS

Greater London

On-site

GBP 20,000 - 27,000

Full time

12 days ago
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Job summary

UBS invites students to join the Group Internal Consulting – AI Engineering Summer Internship Program 2027. Over a 10-week period, you will work with our consultants, data scientists and technologists on projects that shape the bank’s future in AI, agentic AI and machine learning.

You’ll gain hands-on project experience, training and networking opportunities within UBS and the wider financial services ecosystem, developing practical skills in research, data analysis, development and

Qualifications

  • Penultimate/final year bachelor’s or master’s degree in progress (UK 2.1).
  • Interest in AI, ML, data analytics and emerging technologies.
  • Programming basics with Python or other languages.

Responsibilities

  • Support delivery of projects within Group Internal Consulting, focusing on AI, Agentic AI and ML initiatives.
  • Conduct research, analyse data and contribute insights for client engagements and business transformations.
  • Assist with development, testing and documentation of innovative solutions.
  • Collaborate with consultants, data scientists and technology teams across UBS.
  • Contribute to presentations, workshops and stakeholder communications.
  • Learn consulting methodologies, project delivery and problem-solving in a global financial institution.
  • Support identifying opportunities to improve processes and drive value through technology.

Skills

Analytical thinking
Programming basics
Python familiarity
Communication
Teamwork
Curiosity / learnability
Multitasking
AI/ML interest

Education

Penultimate/final year undergrad or master's
UK 2.1 or equivalent

Tools

Python libraries (pandas, NumPy, scikit-learn)
Generative AI / prompts / LLMs

Job description

Your role

Are you passionate about emerging technologies and excited by the potential of Artificial Intelligence to transform businesses?

Your role

Are you passionate about emerging technologies and excited by the potential of Artificial Intelligence to transform businesses? Are you naturally curious, analytical and eager to solve complex challenges while working alongside experienced professionals? We’re looking for talented students to join our Group Internal Consulting – AI Engineering Summer Internship Program 2027. Over the course of this 10-week internship, you’ll gain first-hand experience of how UBS delivers transformation across the firm. You’ll work alongside our consultants, data scientists and technology professionals on projects that help shape the future of the bank. You’ll have the opportunity to develop practical skills, expand your professional network and gain exposure to innovative technologies, including Artificial Intelligence, Agentic AI and Machine Learning. Through meaningful project work, training and collaboration with colleagues across UBS, you’ll gain valuable insight into the world of consulting and financial services.

In This Role, You'll
  • support the delivery of projects within Group Internal Consulting, with a particular focus on Artificial Intelligence, Agentic AI and Machine Learning initiatives
  • conduct research, analyse data and contribute insights that support client engagements and business transformation projects
  • assist with the development, testing and documentation of innovative solutions that address business challenges
  • collaborate with consultants, data scientists and technology teams across the bank

contribute to presentations, workshops and stakeholder communications

  • learn about consulting methodologies, project delivery and problem-solving in a global financial institution
  • support project teams in identifying opportunities to improve processes, enhance client experiences and drive business value through technology
Your team

Group Internal Consulting (GIC) is UBS's internal consulting unit. We are a dynamic, driven and diverse team with over 500 colleagues across five regions globally. As part of the firm's Group Chief Operating Office (GCOO), we work in close partnership with all divisions and functions to drive transformation and change across UBS. Our projects span strategy, operating model design, business transformation, digital innovation, data and analytics, and emerging technologies. We work with stakeholders across the firm to solve complex challenges and deliver lasting impact. As an intern, you'll be part of a collaborative environment where you'll receive support from experienced professionals while contributing to meaningful work from day one.

Your expertise
We're Looking For a Candidate Who
  • is in the penultimate or final year of their bachelor or master's degree
  • has or is on track for at least a 2.1 (UK grading system) or equivalent in their first undergraduate degree
  • has a strong interest in Artificial Intelligence, Machine Learning, data analytics and emerging technologies
  • demonstrates analytical thinking and a structured approach to problem-solving
  • has basic experience with programming, data analysis or technology-related coursework, projects or extracurricular activities
  • is familiar with Python or other programming languages, with an interest in developing technical skills further
  • has strong communication and interpersonal skills, with the ability to work effectively in a team environment
  • is curious, proactive and eager to learn from new experiences
  • can manage multiple priorities and work effectively in a fast-paced environment
  • is interested in business transformation, consulting and the financial services industry
It Would Be An Advantage If You Have
  • completed coursework or personal projects involving AI, machine learning or data analytics
  • experience working with Python libraries such as pandas, NumPy or scikit-learn
  • familiarity with Generative AI, prompt engineering, Large Language Models (LLMs) or related technologies
  • participated in hackathons, student societies, competitions or other extracurricular activities that demonstrate initiative and teamwork
Your program

Our Graduate Talent Program is 18 months long and is designed to help you develop the skills you need to grow your career. To start, the program introduces you to our firm, provides professional and technical training and teaches you core skills and knowledge about consulting. And it continues from there: by learning from your colleagues, you'll have plenty of opportunities to develop new skills and build your network. You'll have the opportunity to see beyond your job by participating in one, or several, rotations. If you're ready to work where no two days are the same, this program is for you.

About Us

UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe. We know that great work is never done alone. That's why we place collaboration at the heart of everything we do. Because together, we're more than ourselves. Want to find out more? Visit ubs.com/careers.

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We're dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That's why collaboration is at the heart of everything we do. Because together, we're more than ourselves.

We're committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Disclaimer / Policy Statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

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