Data Scientist

Job description

Job Reference #


Job Type

Full Time

Your role

Do you enjoy consulting and leading data science projects to drive digital transformation? Are you looking for a unique opportunity to drive UBS's accelerating digital transformation across all business divisions? Are you passionate about emerging technologies like Artificial Intelligence, Machine Learning, Predictive & Behavioral Analytics?

We are looking for someone like this to:

  • design and develop cutting-edge AI/ML/NLP projects and models with high performance, quality and stability to help UBS deliver on its client promise
  • clean, manipulate and process raw data into useful information to be suitable for business purposes
  • advise and facilitate appropriate model deployment path and support model validation and monitoring
  • validate and qualify potential AI/ML/NLP opportunities, define business cases and implementation roadmaps and create proposals for data science engagements
  • partner and build collaborative working relationships with stakeholders across business divisions and group functions
  • actively drive the development and expansion of Group Internal Consulting – Emerging Solutions and its service offerings to align with the business needs of today and the future

Your team

You will be working in the Emerging Solutions team, which is part of UBS's internal consulting unit. Group Internal Consulting (GIC) is a team with over 750 people present in 5 regions across the globe. We work in close partnership with all divisions and functions to drive transformation and change across UBS, supporting colleagues in achieving strategic goals. Our focus is on delivering high quality services, with fast onboarding, leveraging institutional knowledge. We offer our consultants a broad portfolio of projects, providing them with the chance to work across UBS. Our consultants are empowered to drive their career development, supported by a tailored training curriculum, a commitment to the new ways of working and a sustainable work life balance.

At UBS, we appreciate our Veterans and are committed to providing opportunities in Financial Services.

Your expertise

  • ideally 2 years’ programming experience in Python and SQL
  • ideally 2 years’ experience delivering data science projects in a leading tech / business consultancy or an in-house consulting team within a large organization
  • working experience with state-of-the-art ML algorithms (e.g., XGBoost, Neural Networks) and learning techniques
  • hands-on experience in executing ML & NLP data science projects including ability in data sourcing, feature engineering, model training, model evaluation, and data visualization
  • technical experience in building ML solutions using common libraries and frameworks (e.g., Pandas, scikit-learn, TensorFlow, Pytorch, Keras, spaCy, Pyspark)
  • experience in R, designing and developing enterprise-scale NLP solutions in two or more areas of: Named Entity Recognition, Text Classification, Document Summarization, Topic Modelling, Sentiment Analysis, OCR/ICR, Voice Recognition, and Chatbots preferred
  • excellent written and verbal English skills, other languages is a plus
  • bachelor's degree in STEM Field or Business/Economics
  • master's degree in Data Science, Information Systems, Computer Science, Business Analytics or Quantitative Methods/Management or work toward a degree preferred.

About Us

UBS is the world’s largest and 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.

With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

Join us

At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?

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.

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