Top Data Science Jobs in Singapore

Lead AML data science and analytics initiatives: perform strategic data analysis, statistical modeling on large datasets, consult with business stakeholders, drive system changes from requirements to implementation, improve data quality, and mentor junior staff while managing risk and compliance.

Analyze large-scale gaming datasets using statistics, machine learning, forecasting, recommender systems, generative AI, experimentation, causal inference, and econometrics. Collaborate with product and engineering teams to build data-driven solutions, deliver stakeholder insights, and support innovative gaming applications. Contribute to technical documentation, knowledge sharing, and cross-team collaboration.

Develop and deploy machine learning models for influencer marketing, including creator discovery, content understanding, campaign prediction, and optimization. Clean and structure large datasets, engineer features, design experiments, integrate models into production APIs and inference workflows, and monitor performance. Collaborate with product, engineering, and business teams to translate ambiguous problems into scalable AI-powered product capabilities.

Lead the implementation and maintenance of AI agent applications, enhance performance, manage lifecycle, and ensure compliance with regulatory standards while coordinating cross-functional teams for operational excellence.

The role involves collaborating with cross-functional teams to develop NAND products, integrating AI solutions, and ensuring timely delivery of technology with strategic partners in various departments.

Supports humanities, arts, and social science researchers through coding, digital methods, data collection and analysis, cloud services, and web or mobile application development. Responsibilities include training researchers, maintaining the Centre website and portal, supporting technical research proposals and publications, managing software development guidelines, and improving research services. The role also involves ethical data scraping, dataset preparation, academic events, and staying current with relevant software development practices.

Provides technical and methodological support for digital humanities, arts, and social sciences research. Responsibilities include coding, dataset collection and preparation, web and mobile application development, cloud service support, website maintenance, digital methods training, research proposal assistance, software development standards, and service improvement. The role also supports academic events and collaborates with researchers and technical teams across NTU and Singapore.

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.

Leads data-driven industrial optimization projects from requirements gathering through deployment and monitoring. Responsibilities include building scalable data pipelines, integrating industrial data from IoT devices, sensors, test benches, and SCADA systems, performing data quality checks and exploratory analysis, developing machine learning models, creating Power BI and Flask dashboards, supporting digital twin simulations, and developing RAG-based chatbot solutions.

Lead and execute the regional data, analytics, and AI strategy while overseeing implementation, collaboration, team development, and governance compliance.

As a Senior AI Engineer, you will utilize AI engineering and delivery expertise to drive transformative projects for clients while building relationships and expanding your knowledge.

A 12-month graduate programme offering technology and AI/data science tracks. Associates may work in application development, DevOps, cybersecurity, data engineering, AI/ML, infrastructure, cloud, or advanced analytics. Responsibilities may include building GenAI and agentic AI solutions, developing ML models, applying MLOps, governing responsible AI, and collaborating with technical and business teams.

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.

This role involves leading strategic consulting engagements in financial services, managing projects, business development, and mentoring junior consultants while driving Sia's growth in the sector.

Lead and manage a team of Partner Solutions Architects, providing technical guidance to consultative partners, driving customer success, and enhancing partner engagement with the Databricks platform.

Develop Green AI technologies focused on efficient machine learning, large language models, model optimization, parameter-efficient fine-tuning, retrieval-augmented generation, prompt engineering, and efficient inference. Conduct experiments, benchmark algorithms, analyze performance, contribute to research publications, and collaborate with multidisciplinary teams to translate research into deployable sustainable computing solutions.

Lead global technical recruiting across engineering, product, data, AI/ML, infrastructure and security. Own end-to-end hiring, sourcing strategies, talent mapping, stakeholder partnership, ATS/reporting, and mentor junior recruiters to build scalable TA processes and pipelines.

As an Analyst in Data Science, you'll develop AI/ML solutions, collaborate across teams, and enhance customer experience through innovation. Responsibilities include coding, prototyping, and optimizing algorithms for business challenges.

Lead a cross-functional AI/ML team to define strategy, design and deploy scalable production AI solutions (Generative AI, NLP, vision, time-series), drive research, ensure code quality and CI/CD, mentor engineers, and collaborate with business partners to deliver impactful decision-science products.

Provides online facilitation and subject-matter guidance to international data science students. Responsibilities include Python and data science tutoring, one-on-one and group sessions, academic and research support, reference guidance, assessment marking with detailed feedback, discussion forum management, and prompt personalized responses to student questions. The role is remote and requires daily availability during specified IST hours.

Design, develop, and evaluate AI-driven solutions for sustainable living. Collect and preprocess multimodal datasets, build data pipelines and experiments, analyze model performance, iterate on models, and collaborate on publications, reports, and demonstrations.

The Research Scientist will conduct innovative research in cloud computing and distributed systems, developing algorithms to optimize performance and efficiency through machine learning techniques.

Build and deploy data processing pipelines (batch and real-time), clean and extract information, calibrate fraud detection models, collaborate with clients, and conduct R&D on machine learning, NLP, and image analysis to drive product innovation.