Graduate Talent Program 2023, Data Science - Switzerland
UBS Zürich, Schweiz
Gepostet vor 1 Monat Praktika & Trainee Programm Competitive
Your role Do you want to be part of the future of banking? Are you passionate about developing new solutions based on AI, machine learning and new data analytics technologies? As part of our brand new Data Science Graduate Talent Program, you'll: • collaborate with the business to assess opportunities for AI / data analytics technologies • develop, maintain, and deploy machine learning & natural language processing pipelines and models • support AI / data analytics solution implementation and deployment • gather information through surveying, analyzing, and evaluating processes, products and services
Graduate Talent Program
Our Graduate Talent Program lasts 18 months. You'll be directly involved in day-to-day operations, working with professionals and gaining first-hand experience of our business. You'll start with an in-depth training course, which will be intensive and fun. It will build on your university coursework and explore how we use data science in financial services. Throughout the program you'll rotate across at least two different functions. To forge strong bonds with your graduate class and analytical experts around the firm, you'll be part of our global AI guild. Continuous education will allow you to build career-enhancing skills and broaden business knowledge.
To learn more about our Graduate Talent Programs, click here . Your team We're a team of pioneers who have the unique opportunity to further shape and establish our footprint in the organization, as the Artificial Intelligence, Data & Analytics (ADA) Centre of Expertise. Together, we create a culture defined by curiosity, responsibility and engagement where everyone is empowered and inspired to drive extraordinary innovation at speed.
We partner with business professionals and data scientist teams across the bank to build, leverage and scale innovative data and AI solutions and unlock the hidden value and insights in our data. We're constantly expanding our technical expertise into new areas, thus advancing and expanding the ADA ecosystem at UBS.
Your expertise You need to be in the final year of your bachelor or master's degree in data science, statistics, mathematics, computer science, economics - or have gained relevant skills in data science through courses, projects or work experience.
In particular you have: • intermediate proficiency in at least one programming language (e.g., Python, Java, SQL, C# or C++) • experience using analytical and visualization software is a plus • experience in financial services or technology is a plus
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: September 2023
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?
About us UBS is the world's largest and 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.
With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of 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.