Job Description

1 Opening
Singapore

Role description

About the Role

We are seeking

exceptional Data Scientists

with a rare blend of

technical expertise

and

strong communication skills

to join our Singapore based team. You will play a

leadership role

in our data science initiatives--shaping strategy, delivering high-impact solutions, and influencing decision-making across major clients.



You'll be part of a fast-growing, highly regarded Data Science team within

UST

, working in cross-functional agile teams. As a

client-facing expert

, you'll drive the full lifecycle of data projects from business problem framing and data acquisition to advanced modelling and deployment.

Key Responsibilities

Client Leadership

: Act as a trusted advisor for high-profile clients. Understand business goals and recommend tailored, data-driven solutions.

Advanced Analytics Delivery

: Lead the design and execution of ML models, statistical analyses, and optimization algorithms on large, complex datasets.

Business Storytelling

: Translate complex analytical outcomes into clear, impactful presentations and dashboards for executive and non-technical audiences.

End-to-End Solutioning

: Architect and deliver production-grade data science pipelines, from data ingestion to model deployment in cloud or hybrid environments.

Cross-Functional Collaboration

: Work closely with ML engineers, developers, and analysts in agile teams. Mentor junior data scientists and contribute to upskilling initiatives.

Innovation & Thought Leadership

: Drive continuous innovation through reusable components, best practices, and contributions to research, publications, or conferences.

Must-Have Skills & Experience

MSc/PhD in

Mathematics, Statistics, Data Science, Computer Science

, or a related field or equivalent real-world experience. 4+ years in a

Data Scientist

or similar role, preferably in

consulting

or

client-facing

environments. Expert-level proficiency in

Python

(including libraries such as pandas, scikit-learn, NumPy, etc.). Strong understanding of

Machine Learning

,

Statistical Modelling

, and

Data Visualization

(e.g., using matplotlib, seaborn, Plotly, Power BI, or similar). Proven ability to

communicate insights

effectively to C-suite and non-technical stakeholders. Hands-on experience deploying models in

cloud environments

(AWS, Azure, GCP). Solid foundation in

SQL

, data wrangling, and working with large, disparate datasets. Demonstrated

leadership and mentoring

capabilities within data science teams.

Preferred / Nice-to-Have Skills

Experience building

recommendation engines

,

optimization models

, or

real-time analytics

solutions. Cloud certifications (e.g.,

AWS Certified ML Specialty

,

Azure Data Scientist Associate

, or

GCP Professional Data Engineer

). Contributions to

open-source projects

,

published research

, or

speaking engagements

at industry conferences.

Skills

Data Science, Machine Learning, Statistical Analysis, Data Visualization, Expert Level Programming(Python), Cloud environments (AWS, Azure, GCP), SQL

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact--touching billions of lives in the process.