What Jobs are available for Data Scientist in Singapore?

Position Summary:

This role serves as a data evangelist, focusing primarily on Data & ML Engineering with a robust understanding of Data Science and data analysis experience. The ideal candidate will be proficient in the Snowflake and Azure technology stacks, Qlik Visualization, DevOps processes, and ML ops processes. While knowledge of logistics is a plus, a willingness to learn the domain is essential.

Roles & Responsibility

• Build and manage Data & ML Engineering projects.
• Develop and maintain data/ML pipelines using Snowflake and Azure.
• Create and implement data visualizations using Qlik.
• Ensure seamless integration and deployment of models through DevOps and ML ops processes.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Advocate for data-driven decision-making across the organization.
• Promote data literacy across the BU.

Qualifications

• Minimum of 3+ years of end-to-end implementation experience in data warehouse and data management projects. Freshers from reputed institues in the field of data science with quick grasping knowledge will be considered.
• Extensive hands-on experience architecting and delivering solutions on the Azure Data platform, Snowflake, SnowPark, ML Ops and DevOps
• Logistics, and Transportation domain experience, as well as its associated data standards, is preferred.
• Agile/DAMA/Azure certification is a plus
• Experience in engaging both technical and non-technical stakeholders with a proactive and positive attitude.
• Strong personal effectiveness as a team player, change agent and demonstrated perseverance to drive and achieve desired outcomes.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Strong communications skills.

RESPONSIBILITY

• Facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects.

• Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, to product end-of-life.

• Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry.

• Present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline.

• Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle.

• Transfer technology to industry partners.

• Technical engagement and collaboration with research institutes and institutes of higher learning.

EXPERIENCE AND SKILLS NEEDED

• Postgraduate or Ph.D. Background in engineering, computer engineering, computer science, mathematics, statistics or equivalent.

• Strong technical knowledge in AI, specifically in Computer Vision (CV), Natural Language Processing (NLP), recommendation system and/or Synthetic AI.

• Good understanding of the latest research and technologies in AI for production, including deployment to mobile handsets and IOT devices.

• Proficient in building machine learning models to identify, recognise patterns

and make predictions.

• Strong coding experience in programming languages such as Python, C++.

• Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch.

• Experience in model deployment.

• Experience in stakeholder management.

• Experience in agile project management.

Job Title: Data Scientist (12 Months Contract)

Employer: NTT DATA Singapore

Location: Singapore (Onsite with Government Agency)

Contract Duration: 12 months (renewable)

We are seeking a highly motivated Data Scientist to support a key government technology agency in Singapore.

The role involves working on applied AI and data science initiatives, collaborating closely with stakeholders, engineering teams, and research institutes to develop and deploy innovative solutions for national-level projects.

• Facilitate discussions with stakeholders to understand business challenges, define use cases, and translate them into data science projects.
• Collaborate with product owners, engineering teams, and industry partners throughout the product lifecycle – from concept, design, prototyping, testing, data curation, delivery, operationalisation, to end-of-life.
• Conduct technical assessments on AI research, technologies, and trends to evaluate maturity, viability, and suitability for deployment.
• Build machine learning models to identify patterns, recognise trends, and generate predictions.
• Deploy AI/ML models into production environments including mobile and IoT platforms.
• Present findings, collect feedback, and prioritise refinements in close iteration with stakeholders.
• Participate in agile software development processes including requirement gathering, secure coding, testing, and documentation.
• Transfer technology and solutions to industry partners for adoption and scaling.
• Engage and collaborate with research institutes and institutes of higher learning on AI initiatives.

• Postgraduate (Master's/PhD) in Computer Science, Engineering, Mathematics, Statistics, or related fields.
• Strong expertise in Artificial Intelligence (AI) with focus on Computer Vision (CV), Natural Language Processing (NLP), Recommendation Systems, and/or Generative AI .
• Good understanding of the latest AI research, tools, and technologies, with practical knowledge of deploying models to mobile and IoT devices.
• Proficiency in Python and C++ , with strong coding and problem-solving skills.
• Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch.
• Experience in model deployment, MLOps, and performance optimisation.
• Familiarity with Agile/Scrum project management methodologies.
• Proven experience in stakeholder management and ability to work with cross-functional teams.
  Strong communication and documentation skills.

Interested candidates are kindly requested to email their CV with their experience to

Company description:

Changi Airport Group (CAG) is the manager of Singapore Changi Airport, a leading air hub in Asia and one of the world's most awarded airports. As airport manager, CAG performs the key functions of airport operations, air hub development, retail and commercial activities, infrastructure development and airport emergency services. CAG also manages Seletar Airport, and through its subsidiary, Changi Airports International, it takes Changi's presence beyond Singapore's shores through consultancy projects and investments in foreign airports. Come join us today

Job description:

Enterprise Data Science and Management (EDSM) is seeking an experienced Lead Data Scientist to join our Data Science team. Individuals in this role are expected to be comfortable working as an AI/ML Ops engineer and a quantitative researcher. The ideal candidate will have a keen interest in the study of customer buying behavior, and a passion for identifying and answering questions that help us identify and fulfill the latent needs of the customer.

Responsibilitie

• Work closely with EDSM team to identify and provide insights for important Customer Intelligence questions
• Solve commercial problems with AI to deliver social and economic value
• Develop, validate and deliver algorithms, statistical models and analytical insights to achieve business goals
• Analyze and interpret the results of marketing/Ops campaigns and/or experiments and recommend enhancements for future campaigns
• Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation, model implementation and model ops.
• Develop go-to-market implementations and connect strategy to execution around data infrastructure, AI operating models and GenAI-enabled transformation.
• Create a culture of excellence and lead with confidence, charisma, context, and humility working effectively at all levels
• Provide thought-leadership and establish best practices for instrumentation and experimentation and communicate those to EDSM and other Data Science/Analytics teams.

Requirements

• M.S. or Ph.D. in a relevant technical field, or 4+ years' experience in a relevant role
• Exceptional expertise in AI engineering, machine learning and data science
• Strong understanding of marketplace for AI services with ability to develop go-to-market plans with marketing teams
• A strong passion for empirical research and for answering hard questions with data
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• Practical hands-on experience with a broad range of tools to assist in AI development: Jupyter, LLMs, PyTorch, Tensorfllow, AWS Sagemaker, Google Vertex AI, Azure ML, etc
• Strong track record of leading delivery of AI solutions through incubation, proof-of-concept, to large-scale real-time deployment

Data Scientist (2 Positions)

Requirements:

• 2–3 years of experience in data science
• Hands-on modelling experience, including free-form modelling beyond standard libraries
• Proficiency in Python and its data science ecosystem
• (For one role) Experience with R is an advantage
• Strong analytical skills with the ability to tackle open-ended problems

Bonus:

• Master's degree with 2–3 years of experience
• Research background
• Experience working with health data

If you believe you fit the requirements for the role, please submit your application below or drop us an email directly quoting the job title.

Due to an anticipated high volume of applicants, we regret that only shortlisted candidates will be notified. The information provided is for recruitment purposes only.

Know someone who would be a great fit for this role? Refer them to us and get rewarded.

Cornerstone Global Partners (EA License Number: 19C9859) is an affirmative equal-opportunity employer and recruitment firm. We evaluate qualified applicants without regard to race, colour, religion, creed, gender, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

Eugene Then

EA Registration Number: R

Cornerstone Global Partners Pte Ltd (EA License: 19C9859)

This role focuses primarily on data science development and delivery, while also supports AI enablement and training initiatives to build organisation-wide AI awareness and adoption. The ideal candidate is hands-on with data science projects, yet comfortable engaging stakeholders and helping to upskill colleagues in responsible and effective AI use.

Key Responsibilities

Data Science

· Deliver end-to-end data science projects, including data collection, processing, feature engineering, model building, testing, deployment, and monitoring.

· Collaborate with product owners, engineers, and business stakeholders to define requirements, translate needs into solutions, and ensure measurable impact.

· Perform exploratory data analysis and communicate findings to both technical and non-technical audiences.

· Design, build, and validate machine learning models and algorithms to support airport operations and business functions.

· Ensure quality, scalability, and responsible use of data science solutions.

· Provide technical guidance to one junior data scientist in the team.

AI Education & Training

· Support the design and delivery of AI awareness and training programmes to upskill staff across the organisation.

· Contribute to the development of best practices, guidelines, and governance for safe and responsible adoption of AI solutions.

· Keep abreast of emerging AI technologies, tools, and industry trends to share knowledge and inspire adoption.

· Work with business units to promote AI "smart adoption" and help staff better leverage AI-driven tools in their work.

Requirements

· Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Master's degree preferred.

· At least 5 years of experience in data science, with proven track record in delivering end-to-end projects.

· Strong proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

· Experience with data visualisation and communicating insights to non-technical stakeholders.

· Knowledge of AI governance, ethics, or training design is a plus.

· Strong interpersonal and communication skills; able to collaborate across functions and engage diverse stakeholders.

Experience & Skill Needed:

· Capable of translating business use cases into analytical problems, and identifying appropriate data sources to tackle these problems.

· Proficient in writing scripts for data preparation and analysis, using modern analysis tools & programming methodologies.

· Proficient cleaning, imputing and correcting anomalies in the collected structured or unstructured data to ensure a high standard of quality in data sets to be used in the analysis work.

· Proficient in exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.

· Proficient in building machine learning models to identify, recognise patterns and make predictions.

· Proficient in design principles and use of visualisations to best convey the

intended information.

· Capable of translating business use cases into analytical problems, and identifying appropriate data sources to tackle these problems.

· Proficient in writing scripts for data preparation and analysis, using modern analysis tools & programming methodologies.

· Proficient cleaning, imputing and correcting anomalies in the collected structured or unstructured data to ensure a high standard of quality in data sets to be used in the analysis work.

· Proficient in exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.

· Proficient in building machine learning models to identify, recognise patterns and make predictions.

· Proficient in design principles and use of visualisations to best convey the

intended information.

Look for candidates preferably with exp in Govt sector.

Look for candidates who are based in Singapore only - Mandatory

Job Type: Contract

Pay: $3, $13,271.78 per month

Job description:

This role focuses primarily on data science development and delivery, while also supports AI enablement and training initiatives to build organisation-wide AI awareness and adoption. The ideal candidate is hands-on with data science projects, yet comfortable engaging stakeholders and helping to upskill colleagues in responsible and effective AI use.

Key Responsibilities

Data Science

· Deliver end-to-end data science projects, including data collection, processing, feature engineering, model building, testing, deployment, and monitoring.

· Collaborate with product owners, engineers, and business stakeholders to define requirements, translate needs into solutions, and ensure measurable impact.

· Perform exploratory data analysis and communicate findings to both technical and non-technical audiences.

· Design, build, and validate machine learning models and algorithms to support airport operations and business functions.

· Ensure quality, scalability, and responsible use of data science solutions.

· Provide technical guidance to one junior data scientist in the team.

AI Education & Training

· Support the design and delivery of AI awareness and training programmes to upskill staff across the organisation.

· Contribute to the development of best practices, guidelines, and governance for safe and responsible adoption of AI solutions.

· Keep abreast of emerging AI technologies, tools, and industry trends to share knowledge and inspire adoption.

· Work with business units to promote AI "smart adoption" and help staff better leverage AI-driven tools in their work.

Requirements

· Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Master's degree preferred.

· At least 5 years of experience in data science, with proven track record in delivering end-to-end projects.

· Strong proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

· Experience with data visualisation and communicating insights to non-technical stakeholders.

· Knowledge of AI governance, ethics, or training design is a plus.

· Strong interpersonal and communication skills; able to collaborate across functions and engage diverse stakeholders.