Data Scientist

UBS; Singapore; On-site; SGD 100,000 - 140,000; Full time

Job summary

A global wealth management firm in Singapore is seeking a Senior Data Scientist to lead the design and implementation of advanced analytics solutions. The ideal candidate has 10-15 years of experience in machine learning and a proven track record in developing models related to client behavior. This role offers the chance to work collaboratively across teams to create impactful solutions in the financial services sector.

Benefits

Flexible working arrangements

Collaborative work culture

Qualifications

• 10-15 years of experience in machine learning, statistical modeling, and data science in financial services.
• Proven experience developing models related to client behavior and lifecycle marketing.
• Demonstrated ability to operate in matrixed environments.

Responsibilities

• Identify insights opportunities within existing datasets.
• Design and implement advanced machine learning models for client segmentation.
• Present results in a clear and commercially relevant manner to stakeholders.

Skills

Machine learning

Statistical modeling

Data science

Python

SQL

Communication skills

Entrepreneurial mindset

Tools

Spark

Kafka

Job description

Do you believe in the transformative power of machine learning to enhance how we serve our clients? Are you passionate about revolutionizing the future of wealth management through AI? 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 Senior Data Scientist we are looking for to work with our team!

As a Senior Data Scientist within UBS’s GWM AI, you will be at the forefront of developing advanced analytics solutions and models that shape how we understand and engage with our clients. This role focuses on client intelligence, behavioral analytics, and personalized advisory enablement bringing actionable insights into digital and advisor-led journeys. You will lead the design and implementation of models that drive segmentation, lifecycle engagement, propensity to act, and personalized product recommendations, supporting strategic initiatives across APAC and beyond. You’ll work in close collaboration with stakeholders across advisory, marketing, product, and front-line teams to ensure your models are adopted, measurable, and business-relevant.

Key Responsibilities

• Identify and evaluate new insights opportunities within existing datasets, uncovering hidden patterns and potential use cases that could enhance our wealth management services
• Design and implement advanced machine learning models for client segmentation, clustering, and profiling
• Propensity modeling (e.g., to invest, redeem, respond to offers)
• Recommendation engines for advisory personalization
• Churn prediction and behavior-based retention scoring
• Build lifecycle and event-driven models to power contextual nudges and product recommendations
• Translate complex business questions into analytical solutions, working cross-functionally with product, marketing, and digital UX teams
• Leverage both structured and unstructured datasets, including behavioral, transactional, and channel data
• Conduct uplift modeling and A/B test analysis to validate business impact
• Present results in a clear and commercially relevant manner to stakeholders, enabling data-driven decisions

Your Expertise

10-15 Years of experience in machine learning, statistical modeling, and data science in financial services

• Proven experience developing models related to client behavior, lifecycle marketing, or advisory personalization
• Fluency in Python (mandatory) and SQL; experience with Spark, streaming platforms (Kafka), cloud-native ML environments
• Strong applied experience with recommender systems, time series models, uplift modeling, and classification/regression pipelines
• Excellent communication skills, ability to present technical content clearly to non-technical audiences
• Demonstrated ability to operate in matrixed environments, working across regions and functions
• Entrepreneurial mindset with an ability to execute quickly in fast-moving contexts

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.

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?

Equal Opportunity Employer

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.