Overview
On Site
USD 105,000.00 - 130,000.00 per year
Full Time
Skills
Analytical Skill
Statistical Models
Decision-making
Business Process
Research
Evaluation
Data Analysis
Management
Data Science
Computer Science
Computational Linguistics
Natural Language Processing
Machine Learning (ML)
Deep Learning
Prompt Engineering
Python
PyTorch
LangChain
Information Retrieval
Large Language Models (LLMs)
Version Control
Software Engineering
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Databricks
Communication
Asset Management
Investment Banking
Artificial Intelligence
Collaboration
Recruiting
Job Details
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 a NLP Data Scientist:
Contribute to 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
Communicate technical concepts to both technical and non-technical audiences
Detailed salary information:
New York: the salary range for this role is $105000 to $130000
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.
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.
Your expertise
Bachelor's degree or higher in Machine Learning, Computer Science, Computational Linguistics or other relevant technical field
Extensive practical experience with 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
Experience developing information retrieval and search solutions
Hands-on experience working with Large Language Model APIs like Azure OpenAI, Anthropic etc.
Extensive practical experience with version control and software engineering best practices
Experience working with cloud ecosystems like Azure, AWS, Google Cloud Platform, Databricks etc.
Strong written and verbal communication skills, with the ability to present complex ideas to both technical and non-technical audiences.
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.
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 a NLP Data Scientist:
Contribute to 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
Communicate technical concepts to both technical and non-technical audiences
Detailed salary information:
New York: the salary range for this role is $105000 to $130000
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.
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.
Your expertise
Bachelor's degree or higher in Machine Learning, Computer Science, Computational Linguistics or other relevant technical field
Extensive practical experience with 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
Experience developing information retrieval and search solutions
Hands-on experience working with Large Language Model APIs like Azure OpenAI, Anthropic etc.
Extensive practical experience with version control and software engineering best practices
Experience working with cloud ecosystems like Azure, AWS, Google Cloud Platform, Databricks etc.
Strong written and verbal communication skills, with the ability to present complex ideas to both technical and non-technical audiences.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.