Data Scientist

  • Contractor
  • Zurich, Zurich, Switzerland
  • TBD USD / Year
  • UBS profile




  • Job applications may no longer being accepted for this opportunity.


UBS

Job Reference #
260711BR

Job Type
Full Time

Your role
Do you enjoy creating and maintaining a strong and stable data architectural foundation on which innovative, creative and sustainable solutions can be built? Do you have great depth in technical knowledge as well as the ability to communicate effectively with stakeholders in IT and Business? Do you want to work on the cutting edge of technology and data architecture driving competitive advantage within a controlled framework?

Do you want to be part of a team that is designing and building next generation data solutions using the latest technologies? Are you confident working with data professionals, collaborating across technology areas and engaging with key business stakeholders?

We’re looking for an experienced Data Scientist who can work in a federated and controlled environment of UBS@Agile across the various parts of the bank creating a state-of-the-art Data Mesh to:

  • help shape the direction and delivery of a key strategic undertaking, supporting cross divisional needs
  • work with business stakeholders and aligned technology teams to understand the operational and analytical needs of the organization and provide advice on advanced analytical approaches to address requirements
  • proactively identify opportunities to leverage internal and external data in order to devise and implement data-driven business solutions to improve services and business processes
  • support contribution to the firm-wide data marketplace by publishing results and output for iterative improvements
  • identify opportunities to build reusable data assets and models, improve existing processes and deliver innovative solutions in close collaboration with data engineers, business professionals and data scientists
  • contribute to the continuous expansion and improvement of the firm’s analytical ecosystem

Your team
You’ll be working within the global Artificial Intelligence, Data & Analytics Center of Expertise team, closely interacting with our business professionals and data scientist teams across the bank. You will be joining a team that are helping to scale, build and leverage data and AI in the business. The team partners with different divisions and functions across the Bank to develop innovative digital solutions and expand our technical expertise into new areas. The team has recently been founded and you will have the opportunity to further shape and establish its footprint in the organization.

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.

Your expertise

  • a degree in Business / Mathematics / Computer Science / Data Science / Statistics / Economics is ideal, but not mandatory if technical skills have been gained via relevant work experience
  • ideally 8 + years of experience working with databases, data extraction, data mining, data analytics, data visualization, data modelling
  • demonstrated operational understanding of modern data concepts, platforms and technologies: building data warehouses, distributed computing, streaming data, modelling concepts, DevOps and DataOps
  • proven experience with Dev/Test workflows and concepts
  • familiarity and deep knowledge with one or more tools and languages such as: VBA, Python, Alteryx, Tableau, SQL or equivalent
  • track record of delivery on projects involving data solutions incorporating diverse datasets
  • evidence of successful management of complex and diverse tasks, while meeting key objectives and timelines
  • analytical mindset and a desire to make organizations more data-driven
  • ability to translate business objectives into technical requirements with concrete actions
  • ability to manage and grow a consistent project pipeline, scoping projects, align and execute on execution with stakeholders
  • ability to articulate technical concepts and results to diverse audiences
  • solid interpersonal skills, able to build trusted relationships within the team and across the organization at all levels
  • strong motivation in building the team and being a mentor to hire and upskill technical talent
  • experience with Cloud and agile methods
  • transferable experience in technology, consulting or finance

It would be a plus if you have:

  • understanding of Data Mesh principles and how they can be used to improve business benefit and increase delivery velocity of Data Assets in a complex environment.
  • English fluency is a requirement, any other language is a plus

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.

Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

To apply for this job please visit jobs.ubs.com.


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