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Data Scientist Lead
Job description
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 designing and building autonomous AI agents, mining large datasets, developing advanced statistical and language models to generate meaningful and actionable insights, improve decision-making, optimize business processes, and help address business problems?
We are looking for a NLP / AI Data Scientist with 10+ years of experience:
- Contribute to end-to-end model and agent development, from prototyping through production deployment, adhering to best practices for software engineering and reproducible research
- Design, build, and iterate on autonomous agentic systems capable of multi-step reasoning, planning, tool use, and self-correction
- Develop and maintain LLM evaluation tooling to track model performance, reliability, and consistency across a variety of metrics throughout the development and deployment lifecycle
- Build LLM-powered applications over structured and tabular data, enabling natural-language querying, analysis, and insight generation on enterprise datasets
- Implement and optimize Retrieval-Augmented Generation (RAG) pipelines to ground agent outputs in real, verifiable data sources
- Work closely with data engineering and platform teams to ensure reliable, scalable, and production-ready data pipelines for AI systems
- Communicate technical concepts to both technical and non-technical audiences
Description copied from UBS's careers page. Read the full posting before you apply.
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