SKILLSFUTURE SINGAPORE AGENCY Hiring! Full Time Data Scientist (DSAD) in Central Region (Singapore), Earn up to SGD 3,000 - Ricebowl

We are looking for a Data Scientist to join our Data Science and AI Division (DSAD). As an individual contributor, you will apply advanced analytics and machine learning to unlock the value of our data - delivering scalable insights that inform strategy and operational efficiency and contributing to a data-driven culture that enables smarter decision-making across the organisation. Your work will have real impact - from building models that detect fraud and protect citizens, to generating insights that shape policy and regulatory decisions at the organisational level.

What you will be working on

o  Work closely with business teams to understand their data needs, contributing to data science projects that deliver predictive models, dashboards, and other analytical products.

o  Help ensure the integrity and accuracy of data by assessing and validating data quality, identifying anomalies, and working with data engineers to resolve data issues.

o  Apply a range of analytical approaches - from descriptive analytics to advanced machine learning- to develop models for risk scoring, fraud detection, and regulatory reporting that inform operational and strategic decisions.

o  Translate analytical findings into clear visualisations and actionable recommendations for both business teams and leadership.

o  Champion data literacy and good data practices across the organisation, helping to build a culture that values data as a strategic asset.

What we are looking for

• is proficient in statistical analysis, machine learning, and predictive modelling, with hands-on experience in Python, R, SQL, Spark, and data visualisation platforms like Tableau or Power BI
• has some experience building machine learning models at scale, including models for risk scoring or fraud detection
• has some exposure to deploying analytical solutions on enterprise data platforms, cloud platforms like AWS, containerisation tools like Kubernetes, or CI/CD pipelines for scalable deployment
• is self-driven and can manage data science tasks independently, while being open to guidance from senior team members
• is proactive and adaptable, comfortable juggling multiple tasks and delivering results in a fast-paced environment
• enjoys solving complex problems and translating business and regulatory challenges into clear analytical solutions
• thrives working collaboratively across functions, including with product managers, engineers, and business teams
• can communicate analytical findings clearly and persuasively to both technical and non-technical audiences