Data Scientist

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UBS Financial Services
Singapore
USD 70,000 - 110,000
Be among the first applicants.
2 days ago
Job description

Data Scientist

Location: Singapore

Job Type: Full Time

Your role

Do you believe in the transformative power of (Gen-) AI, Data & Analytics to enhance how we serve our clients? Do you want to be part of a team that's transforming how we serve our clients through data-driven solutions? If you're excited to be a part of shaping the Data Science capabilities and the use of AI at UBS, then you might just be the new Data Scientist we are looking for to work with our team!

We are looking for an experienced Data Scientist to join our growing AI Competence Centre as a key contributor to developing our AI and Data Science capabilities:

  1. Identify and evaluate new development opportunities within existing datasets, uncovering hidden patterns and potential use cases that could enhance our wealth management services.
  2. Implement AI Use Cases (Generative and Traditional AI) that are highly relevant across different areas for GWM in APAC, with a strong focus on customer benefits and the business impact to be achieved.
  3. Build and further develop our capabilities in Artificial Intelligence beyond individual use cases to sustainably build expertise and thus achieve broad impact.

Your team

As a member of the AI Competence Center within the Center of Excellence for Artificial Intelligence, Data & Analytics, you will be working out of our AI & Digital Transformation Factory in Singapore, closely collaborating with team members across Switzerland, Europe, and APAC. In this role, you will closely advise our Agile Delivery organization, with experts across Technology, Front Units, Control Functions, Research, etc. Part of a growing team, you will have the opportunity to further shape and establish the team’s footprint in the organization.

Your expertise

  1. Expertise and experience in developing analytical models and applying modern data science methods in a business environment, preferably in the financial industry.
  2. An excellent understanding in modern analytics methods, machine learning algorithms, and their practical applications in the banking environment.
  3. An understanding of front office domain knowledge (e.g., sales, advisory, marketing) to effectively identify the value of AI and analytics in the business context, preferably in the Wealth Management or Financial Industry context.
  4. Strong entrepreneurial mind-set, passionate about analytics, as well as pragmatic & willing to navigate technical, political, and organizational roadblocks.
  5. Highly collaborative, willing to “build fast, fail fast” in a startup type of set-up, and has the ability to influence and foster a culture of innovation.
  6. Commercial experience in Python (mandatory).
  7. Experience with relational databases (SQL), streaming platforms (Kafka) (mandatory).

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.

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?

Contact Details

UBS Business Solutions SA
UBS Recruiting

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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