Job Description
UBS is Hiring for Data Scientist
Your Role:
We need someone who can:
- Use visualization and other methods to turn data into a valuable resource for the whole organization.
- Work with different parts of the business, offering ideas and making sure the analytics plan is carried out.
- Give advice on the best ways to analyze business needs and suggest solutions, considering costs and benefits.
- Create and put into action analytical solutions for business innovation projects.
- Use data science tools and visualization to give useful insights to our stakeholders.
- Keep up with the latest trends and best practices in data science.
Your Team:
You’ll be part of a group with data scientists and engineers. Together, you’ll develop AI solutions for a Credit Risk monitoring platform. You’ll work on projects with different teams and users in various locations.
Your Skills:
We’re looking for people with experience getting models into use and production. You should have experience in:
- Designing and building NLP solutions like named entity recognition, Document Classification, etc.
- Using common ML libraries like Pandas, Sklearn, TensorFlow, etc.
- Understanding NLP/ML algorithms and models and their statistics.
- Strong programming skills in Python, Scala, etc.
- Setting up supervised and unsupervised learning models and data cleaning.
- It’s a bonus if you know about MLops and Explainable AI concepts.
About Us:
UBS is a global wealth manager with operations in over 50 countries. We’re a leader in the industry and have a presence in all major financial centers.
How We Hire:
This role requires an assessment during the application process. Learn more about our hiring process here: www.ubs.com/global/en/careers/experienced-professionals.html
Join Us:
We offer flexible working arrangements and a supportive culture. Our global network allows us to collaborate effectively to meet business needs. We value our people and know that together, we can achieve more. Ready to join #teamUBS and make a difference?