Top Data Jobs in Singapore

Manage and deliver HSE oversight for data centre construction projects: conduct site audits and safety walks, report incidents and near-misses, ensure inductions and contractor compliance, prepare monthly safety assessments, and drive corrective actions to achieve zero incidents.

Manage and secure a hybrid Microsoft 365 collaboration ecosystem (Exchange on-prem/Online, Teams, SharePoint, Viva). Provide L2 incident/request support, automate tasks with PowerShell/Graph, manage Teams voice/Direct Routing, ensure platform availability, perform monitoring, patching, certificate lifecycle, and participate in on-call rotation and migrations within SLAs.

Senior leader for APAC data centre capital markets focusing on strategy, client relationships, transaction execution, and team leadership within JLL's real estate investment services.

Manage end-to-end HR transactions across the employee lifecycle, maintain HRIS data accuracy, support payroll and benefits, ensure compliance, produce HR reports and metrics, respond to employee inquiries, and drive process improvements and SOP documentation to enhance operational efficiency and employee experience.

Lead Compliance Data Analytics to research and analyze risk patterns (fraud, account takeover, payment fraud), deploy and iterate rules/models, partner with stakeholders to balance user experience and risk mitigation, drive business-centric analytics and strategic metrics, and build and manage a high-performing compliance analytics team.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Lead consolidation, validation and integrated reporting of project performance data across engineering, procurement, fabrication and project controls. Develop executive dashboards and advanced analytics (including Monte Carlo simulation and contingency analysis), support governance, and partner with multidisciplinary project teams on major EPC, LNG and energy infrastructure projects.

Early-career role building and evaluating LLM-powered agentic trading systems for crypto markets. Develop pipelines, prompt strategies, retrieval, model evaluations, and ship Python code for production features.

Early-career intern will support AI projects for compliance and risk (KYC, KYB, EDD). Tasks include testing and optimizing LLM/Agent workflows, reviewing prompts and model outputs, documenting findings and edge cases, supporting small-scale implementations, and performing operational analysis to improve processes.

Lead end-to-end SAP data migration for S/4HANA rollouts: define strategy, manage extraction/transformation/load, ensure data quality, run mock conversions, coordinate cutover and go-live, and liaise with business, technical and offshore teams.

Manage the operational lifecycle of corporate actions and security master/reference data across global markets. Monitor, research, assess, and process corporate action events; maintain and validate reference data; resolve exceptions and control breaks; partner with trading, investment, custodians, vendors, and technology; support projects, testing, automation, and process improvements; and coach or review work of other associates to mitigate operational risk.

Lead DayOne's global Environmental, Health & Safety Center of Excellence to build and govern EHS management systems, certifications (ISO 14001/45001), contractor qualification, audit assurance, incident learning, training, and performance reporting across construction and operational data centers.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Participate in design and development of AI-powered financial trading agents using Web3 data. Perform post-training (SFT, RLHF/RLAIF) of LLMs, build benchmark datasets, iterate workflow prototypes, and assist senior engineers with system design, integration, and deployment.

Internship role to develop and deploy user-growth algorithms: user segmentation, recommendations, LTV/churn/conversion models, A/B testing, causal inference analyses, and collaborate with product and engineering to drive measurable growth.

Provide operational support for Total Rewards: manage vendor invoices and contracts, administer benefits and equity processes, maintain policies and HR systems (Workday/SharePoint), support payroll governance, prepare reports, handle employee enquiries, and assist on projects and process improvements to ensure accurate global Total Rewards delivery.

Designs and implements a scalable hybrid cloud data platform on GCP to process petabytes of data, support ML workloads, automate infrastructure provisioning (Terraform), operate containers (Kubernetes/Docker), monitor and secure systems, and resolve L2/L3 operational issues using CI/CD and TDD practices.

The role involves owning product feature development, participating in system design, and maintaining software performance in an agile setting.

Join the Financial Services team as an intern to support banking projects through research, analysis, and collaboration with consultants.

As a Data Scientist in AI Fintech, you will build machine learning models for fraud detection, analyze data, and ensure compliance with regulations.

The Director of APAC Channels drives the Channel GTM strategy, recruits and trains teams, manages partnerships, and monitors performance to accelerate growth.

The Director of Investment will identify, structure, and negotiate investment opportunities, manage due diligence, and mentor junior team members.

The Vice President of Investment will evaluate investment opportunities, structure transactions, manage due diligence, and collaborate with advisors while supporting asset management initiatives.

Lead end-to-end data science initiatives across pay TV, digital products, media sales, and customer lifecycle. Design, deploy, monitor ML/AI solutions (churn, propensity, personalization, recommendation, forecasting), partner with stakeholders, build data pipelines, run experiments (A/B, uplift), mentor teams, and translate analytics into measurable commercial impact.

Conduct data analysis using SQL and Python, automate processes, collaborate with teams, and assist with UAT migration tasks.