Top Data Jobs in Singapore

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.

Lead technical decision-making and development for core infrastructure, optimize distributed systems, and mentor engineers while working with AI-driven products.

The Account Manager will drive sales processes, manage customer accounts, and develop strategic relationships to achieve revenue targets. Responsibilities include creating sales plans, managing existing clients, and identifying new business opportunities while collaborating across departments.

Act as a strategic technology advisor to enterprise customers, guiding digital transformation using Salesforce and related technologies. Shape roadmaps, apply enterprise architecture best practices, lead stakeholder engagement at executive levels, mentor teams, and drive delivery governance and change management across CRM, data, AI, and integration landscapes.

As a Consultant, you'll develop data strategies and optimize data operations for clients in Financial Services or Insurance, overseeing projects and ensuring effective communication with stakeholders.

The Director will architect AI and Privacy Enhancing Technology solutions, engage with regulators and partners, and guide initiatives to enhance AI and PET adoption within Mastercard's framework.

The role involves leading technical product management and solution architecture for Responsible AI tools, ensuring implementations meet governance, usability, and scalability while collaborating with various stakeholders.

As a Director, you will lead AI programs focused on regulatory engagement and the production and adoption of Responsible AI toolkits, working with key stakeholders and managing cross-functional roadmaps.

The FVP leads a high-impact transformation unit at UOB, focusing on platform implementation, strategic partnerships, and innovative technologies, driving organizational evolution and enterprise growth.

The Senior Data Scientist will define and execute a roadmap for backend technology, manage KPIs, collaborate on IT tasks, and develop solutions using programming languages like Python and C#.

The Enterprise Account Executive builds and maintains relationships with large enterprises, focusing on achieving sales quotas, developing strategies, and managing end-to-end sales processes, especially in financial institutions and utilities.

The Director, Data Benchmarks will oversee the quality and integrity of Preqin's benchmarks and indices datasets, lead a global team, and collaborate with internal stakeholders to ensure effective integration into data platforms.

As a Staff/Senior Data Scientist, you will analyze complex data sets to drive product improvements, collaborate with cross-functional teams, and communicate insights to influence strategy. Your role requires strong quantitative expertise and experience in data analysis and statistical methods.

The AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.

Develop and deploy product disposition solutions, utilize data analysis for yield improvement, create deviation alert systems, and mentor team members while promoting innovation through AI and ML.

As Executive Director, you will lead Group-wide transformation projects, design frameworks, mentor teams, and ensure alignment across regional stakeholders to deliver strategic initiatives effectively.

As VP/AVP, you will drive transformation initiatives across OCBC, utilizing analytical skills to support decision-making and execution across regional markets.

The Director leads data quality engagement and remediation in AP, ensuring alignment with business impact and regulatory needs. The role involves stakeholder management, prioritization of initiatives, and improving data quality across teams.

The Director of Knowledge Platform Engineering will lead the architecture and delivery of a data platform that supports analytics, AI, and decision-making across the company, ensuring strong governance and operationalized capabilities while partnering with various teams.

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

The Staff Data Scientist will partner with business teams to align metrics, leverage AI for efficiency, support forecasting, and mentor junior members.

Lead the Realtime Data Platform to define a 1-3 year roadmap, modernize data infrastructure for real-time analytics at petabyte scale, enable data-driven product features, scale and mentor engineering teams, and act as a trusted advisor on Data and AI architecture, governance, and observability.

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.

The Staff Data Scientist will collaborate with executives, utilize causal inference, lead forecasting efforts, build data products, and mentor junior team members.

As a Staff Data Scientist, you'll partner with executives and teams to provide data insights, develop data products, and mentor junior members while using AI for efficiency.