Data Science Specialist – Group Legal

Job Reference #
322337BR

Job Type
Full Time

Your role
Are you ready to work on data science projects to drive digital transformation? Join our newly established Data and Analytics Team within Group Legal and play a key role in redefining data as an asset. Collaborate closely with IT teams, data analysts, and architects to design and deliver cutting-edge AI solutions that enhance business capabilities.

We are seeking a senior data scientist to:

• work with various stakeholders to translate reporting requirements into actionable tasks and implement product enhancements.
• design, build, and deploy high-performance AI/ML/NLP models to meet business objectives.
• monitor and optimize model performance, ensuring quality, stability, and scalability.
• clean, manipulate and process raw data into useful information to be suitable for business purposes.
• validate AI/ML opportunities, define business cases, and create roadmaps for implementation.
• document model performance, governance, and validation processes comprehensively.
• mentor and guide junior data scientists and analysts, fostering technical excellence across the team.

Your team
You'll be part of the Data and Analytics Team within Group Legal's COO function—a culturally diverse and collaborative group with members in multiple locations. The team's mission is to manage Group Legal's data as a strategic asset, ensure compliance with the Bank-wide Data Management Framework (DMF), and deliver advanced analytics and reporting solutions. You'll develop expertise in the technical tools and services that power our capabilities

Your expertise

• a minimum of 3 years of experience delivering data science projects, either in a leading consultancy or in-house at a large organization.
• proficiency in developing end-to-end ML and NLP solutions, including data sourcing, feature engineering, model training, evaluation, and visualization.
• experience in state-of-the-art ML algorithms (e.g., XGBoost, Neural Networks) and techniques (e.g., supervised, unsupervised, or reinforcement learning).
• proficiency in building ML & NLP / LLM solutions using common ML libraries and frameworks (e.g. Pandas, Sklearn, TensorFlow, Transformers, OpenAI, Huggingface)
• hands-on experience with NLP applications such as named entity recognition, text classification, sentiment analysis, or chatbot development.
• familiarity with MLOps practices, containerized solutions (Docker, Kubernetes), and cloud platforms like Azure, AWS, or Google Cloud.
• ability to explain technical concepts to non-technical stakeholders.
• a strong team player and communication

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 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.

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.

Your Career Comeback
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