Top Data Jobs in Singapore

The Data Scientist will analyze big data, develop software solutions, identify insights, and enhance products/services through data-driven decisions.

The program develops skills in warehouse operations, focusing on GMP compliance, continuous improvement, SOP updates, and master data management for biopharmaceuticals.

Drive labor productivity through program management, data analysis, automation, and AI methodologies to enhance operational efficiency and reduce labor hours.

Lead Prudential's AI Lab, driving development of AI solutions, managing sandbox operations, overseeing product quality, mentoring teams, and engaging with external AI talent.

Oversee strategy and architecture of data and AI platforms, resolving challenges, promoting best practices, and mentoring the team.

The Principal Architect will design the data, knowledge, and skills layers for a data platform, ensuring high quality data management and compliance while enabling AI capabilities.

The Manager, FP&A Data oversees financial data maintenance and builds infrastructure for transforming raw data into strategic insights, utilizing SQL, Python, and AI-driven solutions to automate processes and enhance data governance.

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 Staff Data Platform Engineer will oversee the strategy, architecture, development, and operations of data and AI platforms, mentor a team, and advocate for best practices in data management and governance.

The Managing Principal will lead data projects, define client data strategies, conduct capability assessments, and influence data-driven culture in financial services.

The intern will learn about semiconductor manufacturing processes, conduct data analysis, and evaluate process stability while working under mentorship. The internship includes project reports and presentations based on data insights.

This internship focuses on understanding maintenance costs and part usage in manufacturing equipment, involving data analysis and workflow documentation.

The intern will apply data science, statistics, and machine learning in semiconductor process development, focusing on data analysis and predictive modeling to enhance process accuracy.

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.

The role involves leading BIO initiatives, collaborating with sales teams, enabling digital capabilities, and engaging stakeholders to enhance agent productivity and business outcomes.

Remote annotator reviews Japanese text and images, draws bounding boxes, answers structured questions, and writes short summaries per guidelines to train AI systems. On-the-job training provided; assessment required.

Triage and resolve Master Data Management (Party, Risk, Reference) issues end-to-end, run targeted data cleansing sprints, operate Stibo STEP stewardship workflows (match/merge, golden record), monitor data quality dashboards, support release/UAT changes affecting master data, and maintain documentation and playbooks to prevent repeat issues.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

Lead and support analytics lifecycle activities: manage analytic data platforms, govern data access, design and implement reporting/BI, apply advanced quantitative modeling, deliver actionable business insights, contribute to policies, work independently on complex projects and mentor junior colleagues.

Conduct research on data assimilation for regional numerical weather prediction: incorporate new satellite observations, perform preprocessing, quality control and error modelling, analyze assimilation impacts on forecasts, and produce reports and scientific publications.

As a Data Scientist, develop models using data science and Generative AI, collaborate with stakeholders, support AI products deployment, and conduct data analysis.

Coordinate and support end-to-end delivery of telecommunications, P2P connectivity, and cloud projects. Monitor progress, manage risks, engage vendors and cloud providers, maintain documentation, track billing milestones, and ensure customer-centric handover. Provide network troubleshooting, use monitoring tools, and pursue relevant certifications to strengthen networking skills.

Design, fine-tune, and deploy generative AI/LLM solutions (LoRA/PEFT). Build RAG pipelines, embeddings, vector DBs, knowledge bases, and evaluate hallucination. Advise on guardrails and collaborate across teams.

Lead design, transformation, and operationalization of enterprise hybrid cloud environments. Produce high- and low-level designs, migration roadmaps, runbooks, and Day-2 operational models. Hands-on across on-premises and public cloud platforms, ensuring connectivity, security, identity, backup, monitoring, automation, and cost governance. Engage clients, support proposals and commercial models, mentor teams, and ensure smooth transition to managed services with strong SLAs, observability, and operational resilience.

Lead design and delivery of multi-cloud managed services solutions. Collaborate with clients, sales, and delivery teams to architect secure, cost-effective cloud migrations and cloud-native applications. Run workshops, present architectures, guide presales, mentor peers, and ensure solutions transition smoothly to operations while influencing service innovation and commercial outcomes.