Junior Data Scientist

Overview

Are you passionate about AI/ML, programming, and automation? Do you have technical expertise in design, software development, and modeling? Do you aspire to develop the next generation of AI business applications? As a Data Scientist, you will collaborate with our data science and business teams to build state-of-the-art models and perform exploratory analysis on new and existing data to identify, investigate, and solve challenges. You should be comfortable applying a variety of techniques to find the best results and capable of researching new methods to trial. You will work closely within a small team where collaboration is key to achieving our common goals.

Join UBS: we know that our people with diverse skills, experiences, and backgrounds drive our ongoing success. We’re dedicated to our craft, 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 use artificial intelligence (AI) to work smarter and more efficiently, and collaboration is at the heart of everything we do. UBS is an Equal Opportunity Employer. If you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Responsibilities

• Collaborate with the business to assess opportunities for AI/data analytics technologies and maximize their value/impact for our clients.
• Support the design of AI/data analytics solution architecture and work with stakeholders to develop implementation roadmaps.
• Support AI/data analytics solution implementation and deployment.
• Develop, maintain, and deploy LLM, machine learning, and natural language processing pipelines and models with high performance, quality, and stability.
• Partner with the business to integrate AI and machine learning solutions across various strategic platforms. Models may span domains including LLM-based agentic AI architectures, natural language processing (e.g., document classification, named entity recognition, topic modeling, advanced semantic search, extraction), data analytics (predictive modeling, time-series analytics, pattern recognition, recommendation engines), computer vision (OCR), and voice recognition (speech-to-text).
• Research and build POCs for new and innovative AI solutions and technologies.

Your expertise / Qualifications

• Master's degree or higher in a quantitative/scientific field or equivalent work experience.
• Experience designing and developing enterprise-scale AI and NLP solutions in areas such as Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Sentiment Analysis, and OCR text processing.
• Experience building ML/NLP solutions using common ML libraries and frameworks (e.g., Pandas, Scikit-learn, TensorFlow, SparkML, PyTorch, etc.).
• End-to-end development of ML/NLP models (supervised & unsupervised), including data cleaning, pipeline creation for structured/unstructured data, feature engineering, model selection/ensembles, evaluation metrics, visualization, and advanced statistical modeling (regression, spatial, time series).
• 2+ years of programming experience in Python, R, Scala, C/C++, Matlab, SQL/PostgreSQL, etc. Knowledge of CI/CD pipelines, Git, and GitHub/GitLab.
• Familiarity with Agentic AI frameworks such as LangGraph, AutoGen, etc., is a plus.
• Experience working in project-based teams, collaborating with colleagues, interacting with stakeholders, meeting deadlines, and delivering projects that solve specific business problems.

About us

UBS is a leading global wealth manager and universal bank. Headquartered in Zurich, Switzerland, UBS operates in more than 50 markets worldwide and provides diversified asset management solutions and focused investment banking capabilities. We value collaboration and strive to bring out the best in our people. For more information, visit ubs.com/careers.

Location

You’ll be working in the IB AI Center of Excellence team in London, focusing on building AI products across the Investment Bank. The AI solutions we build help colleagues work more efficiently, reduce risk, and generate more revenue, while ensuring clients receive timely and personalized content. As a Data Scientist, you’ll play an important role in shaping the AI landscape within the IB.

Diversity & Inclusion

Diversity helps us grow together. We are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.