Data Scientist

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.