India
Digital, Product Management and Development
Global Wealth Management
Job Reference #
321362BR
City
Mumbai
Job Type
Full Time
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
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
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, GCP, 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 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.
We have a presence in all major financial centers in more than 50 countries.
How we hire
We may request you to complete one or more assessments during the application process. Learn more
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. 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.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact 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.