Top Data Jobs in Singapore

Support deployment of marketing analytics for Consumer Banking by performing data discovery, building and maintaining predictive models, campaign reporting, segmentation, and campaign execution support. Collaborate with product managers, data engineers, and data scientists to improve marketing effectiveness, automate campaign processes, and translate data into actionable insights for customer acquisition, cross-sell and activation.

The Control and Metrics External Data Analyst will manage external data usage, oversee external data initiatives, and support the Chief Data Officer in implementing the Bank's data strategy.

As a Data Scientist, you'll develop predictive models, analyze large datasets, and collaborate with stakeholders to drive data-informed business decisions.

The intern will design safe processes, analyze behavior for anomalies, track fraudulent accounts, and maintain machine learning models to enhance account safety.

Lead Enterprise AI initiatives by designing, developing, and deploying AI/GenAI solutions. Partner with data engineers, technologists and business stakeholders to prototype, integrate, validate and benchmark LLM and advanced-model applications, manage expectations, and translate analytic results into business outcomes.

The role involves resolving client solution requirements, managing installations and troubleshooting issues across multiple technologies, focusing on collaboration and networking solutions.

The Technical Services Systems Integration Specialist provides technical support, engages with clients, escalates issues, and mentors junior engineers while focusing on technical implementations across multiple technologies.

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

Support the research project on antibody generation, handling data analysis, model development, and assisting in project execution activities.

The Visiting Professor will participate in teaching and research, supervise graduate students, and mentor junior faculty at NTU's College of Computing and Data Science.

The role involves analyzing datasets to optimize learning processes, developing strategies for faculty engagement, and conducting action research in educational settings.

The Visiting Professor will teach, conduct research, supervise graduate students, and mentor junior faculty while maintaining high scholarly standards and international visibility.

The Research Associate will work on geometric optimization in learning and robotics, including algorithm design and scientific reporting.

Lead data science initiatives, including project scoping, model development, and team training. Drive impactful data-driven business decisions.

The Data Engineer is responsible for designing and maintaining scalable data systems, building data pipelines, and collaborating with teams to support analytics and AI use cases.

As a Power Backend Engineer at Kpler, you will develop data scrapers, improve APIs, and collaborate on product development for the Japanese power market.

Prepare month-end closes, forecasts, variance analysis, account reconciliations and profitability reviews. Provide insights and recommendations, support budgeting, analyze project and departmental costs, and identify cost-management opportunities for international operations.

As a Data Engineer, you will build and maintain data systems for drug safety AI tools, ensuring reliable data processing and storage for research teams.

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.

Design, build, and maintain data models, ETL pipelines, dashboards, and APIs to support industry models, research, and consulting. Ensure data accuracy, completeness, and observability while integrating new datasets and cloud infrastructure. Collaborate with analysts and stakeholders to deliver robust, modular production data systems with minimal supervision.

Develop and implement statistical models for data analysis, collaborate with teams for process improvement, and present findings to management. Stay updated on data science and machine learning advancements.

As a Data Analyst at Manus, you'll analyze business metrics and user behavior, conduct A/B tests, and create dashboards to drive product strategy and growth.

Design and deliver production-ready AI and data science solutions across CRM, retail, marketing and operations. Build ML models, GenAI/RAG pipelines, feature engineering and training workflows; collaborate with data engineering to deploy, monitor and optimize models; run experiments and measure business impact while ensuring responsible AI, security and governance.

Lead lifecycle management of divisional and functional data products (dashboards, reports, datasets, future AI products). Facilitate data stewardship, define critical data elements and quality rules, prioritize product backlog, coordinate BI/data engineering delivery, and drive adoption and continuous improvement to ensure trusted, fit-for-purpose data and actionable insights.

Lead identification, framing and orchestration of high-value data and AI initiatives across the region. Define strategic KPIs, build business cases, prioritize use cases, and translate approved initiatives into delivery and adoption plans. Drive product adoption, change management, upskilling and measurement of business impact; liaise with Finance, HR/P&O, President Office, tech and data teams to ensure alignment, readiness and sustained value realization.