Top Data Jobs in Singapore

Develop and deploy deep learning models for computer vision, voice, and text processing. Responsibilities include data preprocessing, model training and optimization, GPU-based deployment, performance evaluation, unit testing, documentation, and production scaling. The role involves translating business requirements into technical solutions, collaborating with engineering teams, and delivering AI systems for KYC and other financial products.

Lead application and systems design, development, and deployment; collaborate with stakeholders to translate business needs into technical solutions; manage and mentor developers; ensure technology standards compliance; and troubleshoot technical issues. The role requires strong application development expertise, leadership, communication, strategic thinking, and customer focus within a banking technology environment.

Conduct technology scans and proof-of-concepts, preprocess data, engineer features, build machine learning models, and present systems to management and users. Potential projects include statistics, machine learning, data visualization, human language technologies, and graph analytics. Interns work closely with mentors to meet project requirements.

Undergraduate data engineering interns will manipulate high-volume streaming data, design databases, conduct technology scans and proof-of-concepts, acquire and query data, develop and test systems, and present solutions. Potential projects include DPI acceleration using Snort and Regex, PCAP search, and KSQL real-time stream processing.

Undergraduate interns will research technologies for efficient big data exploration, then design and build visualization or data-processing components for a Jupyter- and Spark-based analytical platform. The project can emphasize modern frontend development or data science, with opportunities to test solutions at scale.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

Support Barclays’ Internal Audit function through data extraction, cleaning, analysis, visualization, and risk-focused insights. Develop analytics for audit testing, automate manual processes, translate audit requirements into use cases, and ensure data integrity and security. Act as a data analytics contact for audit teams, while coaching staff on SQL and Python. Collaborate globally across time zones, manage competing priorities, and advise stakeholders on complex analytical and control-related issues.

Software Engineers are matched confidentially with Dragonfly portfolio companies hiring across crypto and blockchain. Roles may span backend, frontend, full-stack, mobile, infrastructure, data, security, machine learning, and DevOps. Candidates should have software engineering experience and an interest in crypto, blockchain, or open-source technologies. Startup or crypto-native project experience is preferred. Opportunities may be remote, hybrid, or in-person worldwide.

Build and maintain real-time data ingestion systems and warehouses for business logs, user behavior, and operational data. Design and optimize Kafka, Spark, and Flink streaming pipelines, ensuring low latency, reliability, data quality, and high availability. Collaborate with business teams, analysts, and data product managers to deliver metrics, dashboards, and data services. Establish ingestion standards, troubleshoot production issues, govern SLAs, and support cloud-based data warehouse modeling and pipeline operations.

The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.

Develop and deploy AI and machine learning solutions, including generative AI copilots, recommendation systems, RAG, and agentic AI. Build predictive and generative models using structured and unstructured data, create data-driven visualizations, and collaborate with business stakeholders across domains. The role includes applying modern ML, cloud, MLOps, and real-time data technologies, communicating insights, and potentially managing a team.

Analyzes and profiles customer, KYC, onboarding, and reference data for migration initiatives. Develops source-to-target mappings, transformation rules, validation criteria, and technical documentation. Validates ETL pipelines, executes testing and reconciliation, identifies anomalies, and supports data cleansing and issue resolution. Collaborates with business, compliance, governance, operations, and technology stakeholders to deliver data quality and transformation projects.

Develop and implement Xceptor-based data automation and integration solutions for banking and capital markets workflows. Responsibilities include configuring MessageHub channels, Mail and REST/SOAP API integrations, data transformation, reconciliation, validation, exception handling, and workflow optimization. The role integrates financial platforms and supports trade processing, settlements, reporting, and operational efficiency while collaborating with architects, analysts, and market platform specialists.

Own demand forecasting, supply planning, inventory buffers, wafer starts, assembly loads, and customer on-time delivery for semiconductor products. Collaborate with sales, finance, engineering, marketing, business operations, and external suppliers. Analyze demand and supply data, improve forecast accuracy, manage product transitions, coordinate corrective actions, and oversee vendor and internal project activities.

Manage vulnerability scanning and remediation across on-premises and AWS environments. Maintain the risk register, coordinate risk acceptance and remediation, oversee security signature updates and vendor vulnerability notifications, and perform CVSS-based impact and risk analysis. Prepare leadership dashboards and communicate with technical, business, and customer stakeholders. The role requires managed security services experience, GRC knowledge, ITIL familiarity, and the ability to drive accountability across teams.

Supports an information security program across hybrid on-premises and AWS environments. Manages vulnerability scanning, reporting, remediation tracking, risk registers, risk acceptance documentation, security signature updates, vendor vulnerability notifications, and CVSS-based impact analysis. Prepares leadership dashboards and coordinates with technical and business stakeholders to prioritize remediation and maintain compliance.

Supports the IT PMO by maintaining Power BI dashboards, validating data, analyzing project portfolio trends, and translating findings into management insights. The role improves PMO reporting processes, collaborates on dashboard requirements, and manages the PMO homepage and communications mailbox. It requires strong analytical, communication, organizational, and process-improvement skills, with experience in business intelligence, project reporting, or PMO support.

Lead global analytics and data science teams supporting semiconductor manufacturing. Drive yield and process optimization through SQL, sensor, and fabrication-tool data; apply statistical modeling and machine learning to reduce defects; support DOE experiments; build automated dashboards; and manage cross-functional delivery portfolios. Mentor technical talent, improve data quality and platform performance, standardize modern data stacks, and partner with engineering and business leaders on prioritization, risks, and dependencies.

Supports the delivery of data centre and mission-critical construction projects across planning, design, procurement, construction, commissioning, and handover. Responsibilities include schedule and milestone monitoring, risk and change control, reporting, stakeholder coordination, technical submission reviews, budgeting, documentation management, site inspections, and operational readiness. The role works with clients, consultants, contractors, vendors, and internal teams while promoting health, safety, quality, and project governance.

Build and maintain batch and streaming data pipelines, data models, ingestion workflows, Airflow orchestration, cloud infrastructure, CI/CD, and backend data services. Support CDC, messaging, real-time processing, vector database pipelines, embeddings, semantic search, and RAG knowledge bases. Collaborate with senior engineers, AI teams, and business stakeholders to deliver reliable datasets and services for banking use cases including risk, fraud, customer engagement, and automation.

Lead end-to-end delivery of complex client projects involving data warehouse migration and AI. Responsibilities include project planning, requirements gathering, stakeholder management, Agile or Waterfall delivery, testing, data analysis, governance, risk management, executive reporting, client relationship support, and coaching delivery teams. The role bridges business and technical stakeholders while ensuring projects meet scope, timeline, budget, quality, and business-value objectives.

Leads programme-wide scientific data governance, QA/QC, auditing, documentation, database development, data tracking, and version control. Establishes protocols for research data, models, and assumptions; collaborates with multidisciplinary research teams; conducts internal audits; resolves data discrepancies; and prepares reproducible data subsets for publications, reporting, funding submissions, and regulatory review.

Supports paleoseismology, neotectonics, and geodetic research through geological fieldwork, trench investigations, sample processing, levelling-data digitization, quality control, and analysis. Responsibilities include geological and geodetic data management, integration of levelling, InSAR, and GNSS observations, technical reporting, and collaboration across multidisciplinary research teams. The role may involve demanding fieldwork, regional travel, and mentoring undergraduate interns.

Supports pharmaceutical laboratory quality operations by developing Power BI and digital tools, analyzing equipment and inventory data, managing laboratory supplies and retain samples, coordinating calibration and maintenance, and ensuring cGMP, safety, 5S, and contractor-management compliance. The intern will collaborate with laboratory stakeholders, perform process improvements, and present data-driven recommendations to quality leadership.

Build full-stack tools, backend services, APIs, dashboards, and data workflows for assessing and improving AI training data and evaluations. Partner with quality and research teams to inspect agent trajectories, validate graders, measure quality, investigate workflow issues, and turn internal prototypes into reliable production platform capabilities.