Top Data & Analytics Jobs in Singapore

The Senior Data Scientist will analyze complex data sets, apply statistical techniques, and collaborate with teams to influence product strategy and improve business outcomes.

The Senior Data Scientist will partner with executives and teams to leverage data, enhance forecasting, and build data products, utilizing AI insights for business efficiency.

The Associate, Credit Risk Operations will conduct credit risk reviews, assess merchant credibility, provide recommendations, and lead process improvements to mitigate risks while facilitating growth.

The Growth Manager will lead growth metrics, enhance customer insights with data science, and drive actionable growth strategies based on analysis. Responsibilities include overseeing KPIs, building intelligence models, and translating complex analytics into measurable business outcomes.

The Data Ops Associate will design and manage data pipelines and reporting systems, focusing on automation, data quality, and compliance, while collaborating with global teams to meet business and regulatory needs.

The Senior Data Scientist will analyze risk, develop financial crime detection solutions, and optimize risk strategies using advanced analytics and machine learning.

Lead data initiatives for the CEO and business leads, applying causal methods and AI to forecast, build data products, and mentor team members.

As a Senior Data Scientist in Analytics (Risk & Compliance), you will lead analytics projects, ensure robust data foundations, and collaborate cross-functionally to improve regulatory compliance and risk oversight.

The role involves partnering with the CEO, utilizing causal inference and AI for insights, leading forecasting efforts, and mentoring junior staff.

Design and evolve a governed data, knowledge, and skills platform for analytics and AI agents. Lead data modelling, regional data localisation, semantic layer and metric-store design, agent APIs, and Governance-as-Code to ensure quality, lineage, and compliance across global Databricks environments.