Data Scientist UBS - Hiring 2025
Posted on:November 08, 2025
Explore the latest UBS jobs 2025 and find exciting career opportunities. UBS is currently hiring for Experienced professionals. This vacancy is entitled as a Bangalore jobs, offcampus jobs in UBS, and also explore all other Data Scientist UBS - Hiring 2025 listings. Don't miss this chance to kickstart your career with UBS today. All eligible candidates are advised to apply for this job as soon as possible. For more information kindly go through the below details.
AboutUBS
Data Scientist UBS - Hiring 2025
UBS works with individuals, families, institutions, and corporations around the world to help answer some of life's questions - whether through award winning wealth management advisory, investment banking and asset management expertise, or private and corporate banking services in Switzerland*. In June 2023, Credit Suisse became a UBS Group company.
With our large and diverse team operating internationally, we have a presence in all major financial centers in more than 50 countries. Although we all come from different backgrounds and specializations, two things unite us: the conviction that we're stronger together, and the will and curiosity to constantly innovate.
Job Details
| Company | UBS |
|---|---|
| Position | Data Scientist |
| Location | Bangalore |
| Job Type | Full Time |
| Experience | Experienced |
| Website | https://www.ubs.com |
Qualifications
- 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
Responsibilities
- 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
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