295 Data Science jobs in Singapore

• Interpret and apply governance policies related to Data, Cloud, and AI risks.

• Identify and manage risks associated with Generative and Responsible AI.

• Modernise and automate control frameworks through AI/ML and advanced analytics.

• Develop, test, and maintain scalable, accurate AI/ML models and pipelines.

• Collaborate with engineers, developers, and SMEs to integrate solutions into enterprise systems.

• Deliver end-to-end AI/ML solutions aligned with SDLC standards.

• Communicate complex technical and risk concepts to senior stakeholders.

• Stay current with AI/ML advancements and promote continuous improvement.

• Master’s degree in Data Science, Computer Science, or related field.

• 10+ years in data and analytics, with strong ML/statistical modeling expertise.

• Experience designing, deploying, and scaling AI/ML model pipelines.

• Proficiency with cloud platforms (AWS, GCP, Azure) and MLOps tools.

• Skilled in managing complex, unstructured data and applying responsible AI practices.

• Familiar with SDLC, application security, and scalable system design.

• Strong communication and collaboration abilities.

• SGD 180K–220K base + bonus

• Hybrid working environment

• Opportunity to drive responsible AI adoption in a global financial institution

• 22 days annual leave + comprehensive medical insurance

TENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable laws.

Job Title: Senior AI/Data Science/Data Engineering Specialist (Consulting to Full-Time)Location: Remote ( 6:30 PM IST to 3:30 AM IST)Job Type: Opportunity: Transition to Full-Time Based on Performance Start Date: Immediate Joiners PreferredAbout the Role:We are seeking a Senior AI/Data Science/Data Engineering Specialist for a high-impact role supporting advanced data initiatives. This role requires working during US business hours (India time: 6:30 PM IST to 3:30 AM IST).Key Responsibilities: Design, develop, and deploy AI/ML models and data pipelines in production-grade environments. Perform advanced data analysis, feature engineering, and exploratory data modeling. Build, optimize, and maintain ETL/ELT processes using large-scale datasets. Collaborate with cross-functional teams to identify data-driven solutions to business problems. Implement and maintain scalable machine learning pipelines. Ensure high code quality, maintainability, and documentation.Must-Have Skills: Strong expertise in Python for data science, scripting, and automation 5+ years of hands-on experience in AI/ML model development, data engineering, or data science Experience with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar libraries Proficient in SQL, data modeling, and cloud data tools (AWS, GCP, or Azure) Experience with Apache Airflow, Spark, or other big data tools is a plus Strong understanding of data warehousing, pipelines, and MLOps conceptsPreferred Qualifications: Prior experience in consulting engagements with US clients Familiarity with CI/CD pipelines and version control (Git) Excellent communication and problem-solving skills Ability to work independently in a remote, cross-time-zone environmentJob Types: Full-time, Part-time, Contractual / TemporarySchedule: Night shift US shiftExperience: Data science: 5 years (Required) AI: 1 year (Required)Shift availability: Night Shift (Required)Work Location: Remote,

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Job description for Associate / Team Lead, Data Science

Your team

We know the future of accounting and advisory work will look different from its current form because of technological disruptions. The role of our Data Science team is to lead projects and develop solutions around analytics and artificial intelligence to augment our professional service offerings. The purpose of this is to enhance effective delivery of our client service, provide value-added insights to our clients and, at the same time, to help our professional staff to be future-ready.

Your responsibilities

You will be part of an energetic team that shapes the data analytics thrust of the organisation. As part of the team, you will be given opportunities to innovate new platforms to automate business procedures, conceptualise and lead data analytics projects, as well as to drive initiatives to enhance the vibrancy of the data analytics ecosystem.

As an associate/team leader with the Data Science team, you will learn, support and lead the team in the following tasks:

• Design and develop automation procedures to drive business efficiency of the organisation

• Research, develop and deploy new systems, cutting-edge tools or platform to augment existing business processes

• Collaborate with key stakeholders to identify, design and develop data driven solutions to solve business pain points

• Conduct quantitative and qualitative analyses of clients’ data to generate actionable insights

• Identify key industry trends and advise on technology initiatives to future proof the firm

Who are you:

• Passionate in data science and technology

• Ability to work under pressure and meet tight deadlines

• Driven, inquisitive and self-motivated

• Good communication skills

• Have demonstrated proficiency in at least one of the following:-

  • Workflow automation and deployment (eg, Alteryx or similar application)

  • Business Intelligence tools (eg, Tableau, Power BI, or similiar application)

  • Confident in object-oriented programming and writing applications/packages (eg, python, VBA, etc)

  • Web frameworks such as Django, Flask, Plotly/Dash etc

  • Database design, development and configuration (eg, MS SQL)

  • Experience with AI, Azure, or MS Power Apps will be advantageous

Supervisor: Director, Data Science

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Hytech is a leading management consulting firm headquartered in Australia, we specializing in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, and middle and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.

The Role

We’re looking for a Head of Data Science & Analytics to lead our data vision, transforming complex datasets into actionable insights that power decisions, fuel product innovation, and drive growth. If you thrive in fast-paced environments and have deep experience in trading platforms or crypto ecosystems, this role is for you.

Key Responsibilities

• Lead and scale a global data team (data scientists, analysts, and data engineers)
• Define the company’s data strategy across analytics, machine learning, and real-time intelligence
• Build predictive models for user behavior, market activity, fraud detection, and performance optimization
• Champion data governance, quality, and infrastructure in collaboration with engineering leads

What We’re Looking For

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field
• 8+ years in data science/analytics, with 3+ years in leadership roles. Proven experience in fintech, trading platforms, or crypto exchanges preferred
• Deep expertise in predictive modeling, machine learning, and large-scale analytics
• Proficiency in SQL, Python/R, and modern data platforms (e.g., Snowflake, BigQuery, Airflow)
• Experience working with real-time data streams and high-volume transactional environments
• Strategic mindset with the ability to balance hands-on work and leadership
• Strong communication skills in both English and Chinese to influence across product, tech, and executive teams across different countries.

Why Join Us

• Play a key role in shaping the future of a high-growth Fintech company
• Work with cutting-edge technologies in a data-first culture
• Collaborate with global talent across tech, product, and operations
• Competitive compensation, equity package, and flexible work options
• Opportunity to build and lead one of the most strategic teams in the company

• Seniority level Director

• Employment type Full-time

• Job function Analyst, Strategy/Planning, and Information Technology

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Pioneer, West Region, Singapore 2 months ago

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Join to apply for the Information Technology - Data Scientist (Data Science Track) role at Singapore Airlines .

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SIA has multiple positions for junior and senior data scientists to drive our AI, data science, and business analytics initiatives.

• Be a member of an in-house AI and data science development team working on AI (including generative AI, autonomous agents, NLP, computer vision, and recommender systems), mathematical optimization, game theory, and experimental design.
• Collaborate with business stakeholders to create impactful features/services in AI, data science, and analytics. Develop scalable ML/DL solutions and deploy them as API microservices for use by applications and business users to facilitate faster decision-making.
• Supervise external technology partners, provide datasets, and support the assessment and deployment of prediction models in production environments.
• Work with application development teams to operationalize and integrate AI/ML capabilities into API microservices.
• Note: You may be posted to any subsidiary within the SIA Group.

• BSc in Computer Science, Mathematics, Statistics, Physics, or related fields; PhD and MSc degrees in machine learning or AI are preferred.
• Intermediate programming skills in Python, familiarity with algorithms, data structures, SQL, and experience with languages like Scala, TypeScript/JavaScript, Java, or C# is a plus.
• Experience with big data processing systems like Spark and Kafka.
• Relevant internship or industry experience as a data scientist/AI engineer, with proficiency in shallow/deep learning (referencing "An Introduction to Statistical Learning" by Gareth James, 2023). Additional skills in LLMs, GPU frameworks, Bayesian statistics, and cloud platforms are advantageous.
• Good interpersonal and communication skills for working with technical and non-technical teams.
• Experience with Agile, Scrum, or Kanban methodologies is a plus.

We thank all candidates for your interest in Singapore Airlines. Only shortlisted candidates will be notified.

• Entry level

• Full-time

• Engineering and Information Technology

• Airlines and Aviation

Join to apply for the Senior Manager, Data Science and Machine Learning, AdTech role at Newbridge

Join to apply for the Senior Manager, Data Science and Machine Learning, AdTech role at Newbridge

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We're seeking an experienced Senior Manager, Data Science and Machine Learning to lead our clients AdTech data science efforts. You'll work closely with clients team to identify and develop talent, drive business growth, and deliver cutting-edge solutions in search, user profiling, and recommendation systems. Newbridge collaborates with various industry leaders to nurture exceptional talent, and we're looking for someone to spearhead our clients data science initiatives.

Key Responsibilities:

• Lead a team of data scientists and machine learning engineers to develop and deploy AI-powered solutions for AdTech products
• Collaborate with clients to understand business challenges and identify opportunities for data-driven solutions in search, user profiling, and recommendation systems
• Design and implement machine learning models and algorithms to drive business outcomes, such as:
• Improving search relevance and ranking
• Building user profiles for targeted advertising
• Developing recommendation systems for personalized content
• Develop and maintain large-scale data pipelines and architectures
• Work with cross-functional teams to integrate data science solutions into client products and services
• Mentor and develop team members to ensure they have the skills and expertise needed to excel in their roles
• Stay up-to-date with industry trends and advancements in data science and machine learning

Requirements:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
• 8+ years of experience in data science and machine learning, with a focus on AdTech or a similar industry
• Proven experience in one or more of the following areas:
• Search relevance and ranking
• User profiling and targeting
• Recommendation systems
• Strong expertise in machine learning algorithms, deep learning, and programming languages such as Python, R, or Julia
• Experience working with large datasets and building scalable data pipelines
• Excellent communication and collaboration skills

Note :

We will only contact candidates who have been shortlisted. Please note that CVs are required for all applications; those without one will not be considered.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

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Role summary : This is a Machine learning, data analysis, team leading role which focuses on development of software solution to predict sales demand for retail or FMCG industry.

Key Responsibilities:

• Lead and manage R&D teams, providing technical guidance and coaching to team members
• Collaborate with Business/Product Managers and User Experience Designers to scope product features and define technical requirements
• Design intelligent systems, develop algorithms, and architect cross-platform mobile applications and back-end technology stacks in Cloud-native platforms
• Set technical direction, plan deliverables, and project-manage R&D milestones
• Make direct technical contributions, provide guidance, and remove blockers to ensure team success
• Interact with leads, stakeholders, and teams across the organization to identify opportunities and drive innovation

Requirements:

• Bachelor's, Master's, or PhD degree in Computer Science, Data Science/AI/ML, Computer Engineering, or equivalent practical R&D experience
• Good R&D team management experience, with a proven track record of leading teams across different cultural environments
• Good experience in the retail or FMCG industry is a strong plus
• Proficiency in one or more general-purpose programming languages (e.g., JavaScript, Java, Python, C/C++) and experience with mobile/web application development, Cloud-native platforms, DevOps, and DevSecOps toolsets

Preferred Qualifications:

• Experience managing R&D teams to build user-facing application products with deep collaboration with Business/Product Managers and User Experience Designers
• Expertise in large-scale hardware system integration and intelligent software development
• Experience with mobile/web application and microservices development, including insights into the challenges facing the mobile/web application ecosystem in Cloud platforms

Nanyang Technological University (NTU) Singapore seeks to appoint an Associate Professor in Environmental Data Science to be held jointly in both the Asian School of the Environment (ASE) and the newly established College of Computing and Data Science (CCDS). We encourage applications from researchers who leverage innovative data science methodologies to address pressing environmental challenges and advance our understanding of natural systems. We are particularly keen to recruit applicants whose research includes quantitative analysis of geoscience, climatologically or environmentally relevant observational data. Examples of areas of interest include but are not limited to environmental geochemistry; geophysics; natural hazards; atmosphere, oceans and climate science; remote sensing; ecological modelling; environmental sustainability; and geospatial analysis. The successful candidate will be expected to build and contribute to interdisciplinary research, teaching and leadership within our institution's Environmental Earth System Science and AI programmes.

The candidate is expected to lead and conduct high-impact research at the intersection of environmental and Earth system science and data science. We seek candidates who can develop and implement novel data science methodologies, which might include AI and machine learning, deep learning, and data analytics, to analyse environmental and/or Earth observational datasets, model complex environmental systems, and extract actionable insights.

The faculty member will be expected to teach undergraduate and graduate courses in environment and/or Earth system science, data science and related disciplines, incorporating innovative teaching methods and real-world applications of data science in environmental contexts and supervise graduate students and postdoctoral researchers, providing mentorship and guidance in research design, interpretation, and professional development.

Applicants must have a Ph.D. or equivalent degree in Earth system science, Environmental science, Computer science, Mathematics, Theoretical Physics or a related field and demonstrated expertise in areas such as artificial intelligence, machine learning, and data science, with a strong track record of research publications and external funding. Experience in applying data sciences techniques to address environmental and/or Earth science challenges, such as remote sensing data analysis, climate modeling, or environmental monitoring would be anticipated.

Both ASE and CCDS are diverse, interdisciplinary units that integrate geoscience, environment, ecology, and computational sciences in order to examine environmental challenges in Asia and globally. Researchers can access national computing facilities such as the National Supercomputing Centre (NSCC) Singapore and potentially align with AI Singapore ( ).

Both ASE and CCDS seek a diverse and inclusive workforce and are committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Emoluments and General Terms & Conditions of Service

The commencing salary will depend on the candidate's qualifications, experience and the level of appointment offered.

Application Procedure

Candidates are invited to submit their application packages (cover letter, full CV, research and teaching statements, names and contact details of three referees) through the NTU Career Portal, by clicking the 'APPLY' button. Applications will be reviewed and shortlisted on an ongoing basis until the position is filled. Only shortlisted candidates will be notified.

All applications and materials submitted will be held in strict confidence.

For further enquiries, please contact the Search Committee Chair, Prof. Adam Switzer ( ).

Hiring Institution: NTU

Job Description
You will support the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable and secure manner. You will focus on defining optimal solutions to data collection, processing and warehousing. You will also focus on collecting, parsing, managing, analysing and visualising large sets of data to turn information into insights accessible through multiple platforms. You will design, code and test data systems and work on implementing them into the internal infrastructure, improving data reliability and quality. Most of all, you enjoy reducing complexity and building automated systems.

Job Requirements

• Bachelor’s Degree in Computer Science, Electronics or Electrical Engineering, Software Engineering, Information Technology or other related technical disciplines.
• Preferably 1-3 (Analyst) or 3-5 (Senior Analyst) years of relevant experience.
• Prior experience in a healthcare setting would be an advantage but is not required.
• Fluency in command-line shell scripting, Python and/or R.
• Experience in several of the following skill clusters:
  • Relational databases, data marts and data warehouses – experience with Oracle and/or PostgreSQL platforms; crafting secure and effective SQL queries
  • NoSQL databases – key-value, document, graph, column family
  • Reproducible computing – version control, software packaging, continuous integration/continuous delivery, process monitoring and containerization
  • Automated workflows - programmatically author, schedule and monitor workflows using Apache Airflow, Azure Logic Apps or similar
  • Distributed computing – distribute jobs for concurrent processing using Apache Spark, Databricks or similar
  • Streaming data – process continuous, serial port or micro-batch online data
• Ability to work independently as well as in a team.
• Knowledge in cloud technologies is preferable.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.