Your role

Are you passionate about directly impacting the business by utilizing analytical and machine learning skills? Do you want to play a key role in mining large datasets, build advanced statistical models to generate meaningful and actionable insights, improve decision making, optimize the business process, and help address business problems?

We are looking for Applied NLP Data Scientist:

• drive end-to-end model development and deployment, adhering to best practices for software engineering and reproducible research
• develop and maintain LLM evaluation tooling to track model performance, reliability and consistency across a variety of metrics throughout the development and deployment lifecycle
• collaborate with product teams, business stakeholders, and tech teams to ensure rapid delivery of robust products that drive business impact
• communicate complex technical concepts to both technical and non-technical audiences

Your team

You will be part of the Data Science team in the Data Analytics Foundational Platform Team (DAFP), WMA. Our Data Science team is at the heart of DAFP's function to manage and support data science efforts across different business areas. Our team is global based in US, Poland, and China.

Diversity helps us grow, together. That's why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

Your expertise

• ideally a Bachelor's degree or higher in Machine Learning, Computer Science, Computational Linguistics or other relevant technical field
• deep understanding and extensive practical experience with SoTA techniques from natural language processing, machine learning, deep learning, and prompt engineering
• demonstrated proficiency in Python, especially in the following frameworks and libraries: PyTorch, transformers, LangChain, openai, spaCy, datasets, peft, tokenizers, optimum, accelerate
• experience developing scalable information retrieval and enterprise search solutions, using a variety of classical (e.g. keyword matching) and modern techniques (e.g. semantic similarity); prior experience in developing scalable RAG-type applications will be highly valued
• hands-on experience working with Large Language Model APIs like Azure OpenAI, Anthropic etc. and optimizing workflows that make use of rate-limiting APIs
• extensive practical experience with version control and software engineering best practices
• experience working with cloud ecosystems like Azure, AWS, GCP, Databricks etc.
• strong written and verbal communication skills, with the ability to present complex ideas to both technical and non-technical audiences.

*LI-UBS

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.