Job Reference #
318225BR
Job Type
Full Time
Your role
Are you interested in pursuing a career in Data Science and AI with STAAT team in Global wealth management Americas?You will be responsible for building a team around Machine learning and AI in Mumbai
- Building deployable machine learning models and embedding it in business workflow
- Defining AI research problems and criteria for evaluating success
- Contributing to product design, developing features to enhance the product based on Natural Language techniques
- Processing massive amounts of structured and unstructured data
- Researching new machine learning solutions for complex business problems and embedding the models within the business workflow
- Communicating findings
Your team
You’ll be working STAAT Data Science team in Mumbai
Your expertise
- degree in Computer Science or related field
- strong understanding of probability, statistics, linear algebra and calculus.
- 10+ years’ experience in developing and NLP Models
- Expert level proficiency in python
- Experience Leading a team of 10 or more
- 2+ years’ experience in building NLP models for Sentiment scoring, summarization, abstractions using deep learning, transfer learning techniques
- Experience in dealing with large-scale unstructured text data
- Experience in machine learning packages
- ML experience with different supervised and unsupervised learning algorithms knowledge of a variety of machine learning techniques such as classification, clustering, optimization, Random Forest, PCA, XgBoost, natural language processing, deep neural network, etc
- good understanding of mathematical underpinning and their real world advantages/drawbacks
- hands on experience of using programming languages (Python, R,SQL, etc.) to manipulate data, develop models and derive insights
- hands on experience of database and analytical technologies in the industry, such as Greenplum, DB2, Dataiku, Hadoop, etc
- hands-on experience deploying analytical models to solve business problems
- ability to develop experimental and analytical plans for data
modeling processes and A/B testing
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.
How We Hire
We may request you to complete one or more assessments during the application process. Learn more
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. 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.