This job offer is not available in your country.

Data Scientist

USTSingapore, Pedra Branca, Singapore

15 days ago

Job description

Join to apply for the Data Scientist role at UST

Get AI-powered advice on this job and more exclusive features.

Role Description

Role : This role will be a key part of the UST UK Data Science team, which has achieved great recognition and results in its short life. The Data Scientist will lead engagements with external clients and internal stakeholders, understand their strategic needs, and deliver high-impact insights, recommendations, and innovative solutions to shape their actions. They will also mentor junior data scientists and interns, fostering their professional growth and development.

This position involves applying cutting-edge analytical methodologies, including advanced predictive modelling, sophisticated recommendation engines, and complex statistical assessments on large-scale, often disparate datasets. Deliverables will range from executive-level reports and presentations to the development of advanced prototypes and interactive dashboards.

The ideal candidate will possess a rare blend of skills, including expert-level programming, advanced data analysis and statistics, as well as exceptional data-led storytelling, communication, and business acumen. Additionally, we seek individuals with proven ability in creative problem-solving, innovative thinking, and the capacity to lead and influence cross-functional teams.

You will frequently lead scrum teams, collaborating with data scientists, ML engineers, and analyst developers to architect and implement end-to-end data science solutions, from data ingestion to model deployment and automation.

Responsibilities

Serve as the primary point of contact for high-profile clients, understanding their complex business objectives and data landscape. Act as a trusted advisor to recommend sophisticated, data-driven solutions that align with their long-term strategic goals.
Lead the delivery of both ad-hoc analysis requests and proactive, high-value research initiatives, presenting findings through executive-level documents, interactive dashboards, and compelling presentations.
Design and implement advanced statistical and machine learning techniques to analyze large-scale datasets and derive actionable insights. Develop state-of-the-art predictive models, optimization algorithms, and data visualizations to solve complex business problems.
Architect end-to-end data science solutions tailored to the specific needs of each client. Lead cross-functional teams to seamlessly integrate analytical models into client systems and processes.
Provide mentorship and guidance to junior data scientists, fostering their professional development and cultivating a culture of continuous learning within the team.
Drive knowledge sharing initiatives across wider functions, developing best practices for transforming raw data into valuable analytical assets and creating reusable, scalable analytical and visualization methods.

Skills / Experience

MSc / PhD in Mathematics, Statistics, Data Science, Computer Science, or related field, or equivalent extensive work experience.

Substantial experience (5+ years) as a Data Scientist or in a similar senior role, with a proven track record in consulting or client-facing environments.

Demonstrated expertise in creating actionable insights that drive business value, with the ability to communicate complex findings to C-level executives and non-technical stakeholders.

Advanced proficiency in data science programming languages (e.g., Python, R, SQL) with a portfolio of complex projects and contributions to open-source communities.

In-depth knowledge and hands-on experience in deploying ML models and advanced analytics in cloud production environments. Relevant certifications (e.g., AWS, Azure, GCP) are highly desirable.

Proven ability to lead and mentor teams, with excellent project management and stakeholder management skills.

Track record of thought leadership, such as conference presentations, published papers, or patents in the field of data science or machine learning.

What We Believe

We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion, and to place people at the center of everything we do.

Humility

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity

Through business, we will better the lives of those less fortunate than ourselves.

Integrity

We honor our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and / or your performance.

Skills

Machine Learning,Statistical Analysis,Data Visualization,Expert Level Programming(Python)

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

Referrals increase your chances of interviewing at UST by 2x

Machine Learning Engineer-Fresh-Grad(A29705)

ML Research Scientists & Research Engineers

South East Community Development Council, Singapore 4 days ago

Data Scientist Intern – Global Talent Acquisition

South East Community Development Council, Singapore 4 days ago

FM Research Scientist - Climate Data Science

Data Scientist, Operations, Trust & Safety

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

J-18808-Ljbffr

Create a job alert for this search

Data Scientist • Singapore, Pedra Branca, Singapore