Internship 2024, Data Science, Analytic and ML Engineer, UBS RiskLab Nouveau

Stage Commence à partir du juillet 2024 Étudiant

Job Reference





Intern Analyst (Pipeline)

Your role

Are you an enthusiastic Computer Science / Data Science / ML undergraduate or postgraduate looking for a 12 month Internship? Do you have excellent problem-solving skills to solve advanced Data Analytic, Machine Learning, GenAI and IT problems for our market leading data science model development platform? We’re looking for someone like that to:

  • work in our RiskLab Client success engineering team, working on projects to assist our 1000+ data scientists, ML and AI engineers to leverage best practices to accelerate data analytic, ML and AI model and application development.
  • work on industry leading data science, data access, MLOps frameworks and in-house developed Gen AI foundation software framework
  • be a product champion on Microsoft Azure products such as Azure Databricks, Azure Kubernetes Services and Machine Learning and GenAI products
  • have good communication skills and willing to interact with UBS data scientists and IT to understand and solve their business problems.

Our 12 month internship is an ideal way to gain the work experience you’ll need to launch your career. It’s also an opportunity to work with and learn from some of our sharp people in finance.

From the start of the program, you’ll be right at the heart of the business, taking part in the day-to-day operations. You’ll not only learn about the business of finance from top to bottom, you’ll also experience our unique workplace culture.

To learn more about our Internship Programs, click here.

Your team

You will be part of the UBS Risk IT, RiskLab and Model Services team,

The RiskLab Model Service team is a group software and data science professionals who brings modern computer science and data science, ML and GenAI technology and IT platform to bank’s data scientists from various business divisions such as Risk, IB, Finance, and Compliance.

We implement common reusable solutions to ensure the data science model development and execution runs on most optimal and scalable framework. We research emerging data science, ML and GenAI technology and draw up adaptation plan for our data scientist and IT audience, and setup regular training sessions or pilot model development to ensure UBS remains competitive and ahead of our peers.

Your expertise

You need to have completed at least four semesters of your bachelor’s degree or have obtained your master’s degree within the last 6 months.

In particular, you have:

  • Information Technology / Computer Science degree is a must, with ML or AI postgraduate desirable
  • passion for programming and be a problem solver, have good understanding on object oriented programming and functional programming paradigm and sound knowledge on data structures and algorithms
  • be proficient in both Python and R languages
  • sound knowledge in Apache Spark, PySpark and SparklyR. and excellent understanding of distributed analytic data processing
  • knowledge in Data scientist friendly GUI framework such as Streamlit and Dash is beneficial
  • have exposure to some container technologies such as Containers, Kubernetes, versioning technology such as GitLab, and build pipelines.
  • foundational understanding of Machine Learning, Deep Learning and GenAI would be a plus.
  • good English language

Perhaps you’ve organized a fundraising event or taken part in team sports? Or persevered and passed an exam in a subject you found challenging? Think about how things you’ve achieved match the skills we’re after.

Start date: July 2024

About us

UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..

We have a presence in all major financial centers in more than 50 countries.

Join us

At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it’s our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?

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.

Internship 2024, Data Science, Analytic and ML Engineer, UBS RiskLab UBS Job Board for Graduates
Publié le 21/06/2024 Annonce originale