Top Data Jobs in Singapore

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.

Lead and execute Vantage's APAC public policy strategy, manage government and regulatory engagement, build and lead a regional policy team, coordinate with internal stakeholders, manage third-party advocates, ensure compliance with lobbying and anti-corruption laws, translate policy risks into business actions, and support sustainable, community-aligned growth across APAC markets.

The Senior Network Engineer leads global network operations, large-scale projects, and process improvements, ensuring network performance, reliability, and security. They collaborate on network design, manage migrations, and maintain infrastructure in a hands-on role covering multiple global sites.

Lead enterprise data and AI architecture strategy, ensuring alignment with business goals and guiding solution designs while managing cross-domain initiatives and compliance requirements.

Lead advancement of group data management and governance: implement and monitor data quality rules, manage data lineage/catalogue, translate business requirements into ETL/DQ rules, redesign DQ framework for enterprise platform, automate catalogue and reporting, perform data analysis using SQL/Python and big-data tools, support testing, and partner with auditors and regulators to ensure compliance.

Senior individual contributor leading global commercial risk and insurance programs. Performs risk identification, advanced analysis, mitigation strategy design, insurance placements and claims oversight. Partners with Legal, Finance, Operations and external brokers, mentors junior staff, delivers training, and supports crisis response and enterprise risk decision-making.

As a Data Engineer at SHOPLINE, you'll be responsible for managing payments data, enhancing data quality, and constructing business evaluation metrics while collaborating across functions.

Lead single-threaded product and technical ownership for Client Intelligence & Data, defining APIs and event-driven architectures to deliver merchant-facing analytics, KPIs, and reports. Drive platform strategy toward AI-driven insights, enforce production reliability and automated QA, champion You Build It You Run It culture, partner cross-functionally to scale multi-tenant analytics capabilities, and prioritize work using evidence-based frameworks.