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United Kingdom

Information Technology (IT)

Group Functions

277557BR

London

Full Time

Are you passionate about directly impacting the business by utilizing analytical and machine learning skills?
Do you want to play a key role in mining large datasets to generate meaningful and actionable insights, improve decision making, and optimize the process?
Are you an excellent problem solver who is passionate about technology and innovation?

We are looking for a Data Scientist to:

• Work with stakeholders to identify opportunities for leveraging data to drive business results
• Mine and analyze data from various data sets to provide actionable insights
• Employ machine learning and statistical methods to automate and transform the UBS Group Functions, including IT, Finance, Real Estate, and other delivery functions
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Work with development team by providing end-to-end analytics and machine learning solutions

You will be part of the Integrated Data Strategy and Platform team within Finance, Risk and the Data IT organization.
Our Data strategy and platform are at the heart of UBS's Group Functions to digitize and support the business processes in these functions. The team is globally based in Switzerland, the UK, EMEA, APAC and the US.

You experience and skills:

• BS or MS or PhD in Data Science, Machine Learning, Statistics, or related STEM fields
• 3+ years of relevant or equivalent experience, experience in finance industry is a plus
• Knowledge of a variety of machine learning techniques such as natural language processing, classification, clustering, optimization, deep neural network, good understanding of mathematical underpinning and their real-world advantages/drawbacks
• Hands on experience of using programming languages (Python, SQL, etc.) to manipulate data, develop models and derive insights.
• Hands on experience of database and analytical technologies in the industry
• Excellent oral and written communication skills
• Ability to collaborate in a fast-paced team environment

Diversity helps us grow, together. That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

We recruit T-shaped & well-rounded professionals who are deep experts in their core technologies, and are open to learning new technologies.

Core skills include:

• Hands on experience with Spark, Databricks, and relevant Azure components
• Hands-on experience deploying analytical models to solve business problems
• Ability to develop experimental and analytical plans for data modeling processes
• Experience with data visualization tools

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?

This role requires an assessment on application. Learn more about how we hire: www.ubs.com/global/en/careers/experienced-professionals.html

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?

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.